Next Article in Journal
Drug Development in Tissue-Agnostic Indications
Previous Article in Journal
Induced Mitochondrial Alteration and DNA Damage via IFNGR-JAK2-STAT1-PARP1 Pathway Facilitates Viral Hepatitis Associated Hepatocellular Carcinoma Aggressiveness and Stemness
Previous Article in Special Issue
Fistula-Related Cancer in Crohn’s Disease: A Systematic Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

ECM Remodeling in Squamous Cell Carcinoma of the Aerodigestive Tract: Pathways for Cancer Dissemination and Emerging Biomarkers

Division of Molecular Oncology, Department of Research and Diagnosis, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy
*
Author to whom correspondence should be addressed.
These two authors contributed equally.
These authors share co-last authorship.
Cancers 2021, 13(11), 2759; https://doi.org/10.3390/cancers13112759
Submission received: 31 March 2021 / Revised: 27 May 2021 / Accepted: 28 May 2021 / Published: 2 June 2021

Abstract

:

Simple Summary

Local and distant metastasis of patients affected by squamous cell carcinoma of the upper aerodigestive tract predicts poor prognosis. In the latest years, the introduction of new therapeutic approaches, including targeted and immune therapies, has improved the overall survival. However, a large number of these patients do not benefit from these treatments. Thus, the identification of suitable prognostic and predictive biomarkers, as well as the discovery of new therapeutic targets have emerged as a crucial clinical need. In this context, the extracellular matrix represents a suitable target for the development of such therapeutic tools. In fact, the extracellular matrix is composed by complex molecules able to interact with a plethora of receptors and growth factors, thus modulating the dynamic crosstalk between cancer cells and the tumor microenvironment. In this review, we summarize the current knowledge of the role of the extracellular matrix in affecting squamous cell carcinoma growth and dissemination. Despite extracellular matrix is known to affect the development of many cancer types, only a restricted number of these molecules have been recognized to impact on squamous cell carcinoma progression. Thus, we consider that a thorough analysis of these molecules may be key to develop new potential therapeutic targets/biomarkers.

Abstract

Squamous cell carcinomas (SCC) include a number of different types of tumors developing in the skin, in hollow organs, as well as the upper aerodigestive tract (UADT) including the head and neck region and the esophagus which will be dealt with in this review. These tumors are often refractory to current therapeutic approaches with poor patient outcome. The most important prognostic determinant of SCC tumors is the presence of distant metastasis, significantly correlating with low patient survival rates. Rapidly emerging evidence indicate that the extracellular matrix (ECM) composition and remodeling profoundly affect SSC metastatic dissemination. In this review, we will summarize the current knowledge on the role of ECM and its remodeling enzymes in affecting the growth and dissemination of UADT SCC. Taken together, these published evidence suggest that a thorough analysis of the ECM composition in the UADT SCC microenvironment may help disclosing the mechanism of resistance to the treatments and help defining possible targets for clinical intervention.

1. Introduction

Given their similar etiology and clinical features, esophageal and head/neck cancers are classified as tumors of the upper aerodigestive tract (UADT) [1]. UADT tumors are among the ten most common cancers worldwide and account for one million new cases diagnosed every year, of which approximately 90% are squamous cell carcinomas [1].The outermost layers of the nasal-oral cavity and esophagus are represented by stratified squamous epithelium (SSE), consisting of squamous epithelial cells layered on top of the basement membrane (BM), a thin specialized sheet of extracellular matrix (ECM). The SSE is constantly exposed to various stimuli, including harmful stresses. Indeed, the main risk factors for UADT SCC are represented by the use of tobacco and alcohol, betel quid chewing, and chronic mucosal irritation [2,3,4]. The exposure to accumulating carcinogens can also result in field cancerization leading to the occurrence of synchronous and metachronous malignancies in the entire UADT [5,6]. Another well characterized risk factor for these types of tumor is human papillomavirus (HPV) infection, which associates with poor response to the treatments and decreased overall survival of the patients [7,8,9]. Other causes include inherited gene defects in particular involving the CDKN2A locus and leading to the development of head and neck squamous cell carcinomas (HNSCC) [10].
Despite the continuous improvements in diagnosis and treatment, UADT SCC is still characterized by poor patients prognosis and low survival rate [1,11]. Therapeutic strategies for UADT SCC vary based on the stage and subtype of the disease and include surgery, chemotherapy, and radiation therapy [12,13,14].At present, surgical removal of the tumor remains the most commonly used treatment of esophageal SCC (ESCC) and oral SCC (OSCC), accounting for two-thirds of HNSCC [15,16]. A combination with preoperative neoadjuvant or postoperative adjuvant radiotherapy and chemotherapy has slightly improved patient prognosis [17,18,19]. The use of immunotherapy in combination with conventional chemotherapy has recently been considered as a possibility to significantly improve the outcome of these patients [12,20]. Despite the fact that these therapeutic approaches have given some benefits, the overall outcome of UADT SCC patients is still unsatisfactory. This is mostly due to the fact that these tumors are predominantly diagnosed at advanced stages, characterized by local or distant metastasis [1]. Therefore, unraveling the mechanisms of UADT SCC metastatic dissemination represents an important route for the development of more efficacious treatments.
Accumulating evidence indicate that microenvironmental, tumor cell-extrinsic, factors such as cytokines, chemokines, and proteins produced by tumor cells, as well as inflammatory or stromal cells, are also integral to UADT SCC growth and dissemination [21,22,23]. The tumor microenvironment (TME), comprising the tumor vasculature, the connective tissue, the infiltrating immune cells, and ECM, plays a key role in modulating cancer cell viability and proliferation, as well as the invasion and metastatic dissemination in many cancer types [24,25,26]. The ECM is a complex non-cellular compartment that provides physical scaffolding, and biochemical and biomechanical signals regulating tissue development and homeostasis. ECM dysregulation promotes the establishment of several pathologies including connective tissue disorders, muscular dystrophy, fibrosis, and cancer [27]. The concept that the ECM plays a relevant role in cancer has strongly increased over the last years. The ECM impacts on cancer growth and development both directly influencing tumor cell viability and motility, and indirectly modulating angiogenesis and tumor-associated inflammation [28,29]. Moreover, the altered deposition of ECM components affects the mechanical properties of the tumor and, as a consequence, their growth and progression. Additionally, its remodeling leads to the release of ECM-bound growth factors and ECM-fragments which profoundly influence the malignant behavior of cancer cells.
In this review, we will provide a brief overview of the routes exploited by UADT SCC cells during metastatic spreading and subsequently describe the current knowledge on the role of ECM in regulating HNSCC and ESCC metastatic dissemination. Finally, we will discuss the value of these microenvironmental cues as prognostic and predictive biomarkers and the putative impact towards the development of more efficacious anti-cancer therapies.

2. Metastatic Dissemination Routes of UADT SCC

The dissemination of UADT SCC cells results in impaired therapeutic efficacy and poor patient outcome [30,31,32,33,34]. In patients diagnosed with advanced HNSCC and ESCC, the invasion of the surrounding tissues associates with loco-regional lymph node involvement as well as distant metastasis (Figure 1). Upon UADT SCC diagnosis, different clinical traits can be observed, ranging from single metastatic sites and controlled local disease, to widely disseminated metastasis [9,10,11].
The process of metastatic UADT SCC cell dissemination, as for other solid tumors, is complex and involves several steps [35,36], starting from the detachment of cells from the primary tumor. As a first event, SCC cells undergo epithelial-mesenchymal transition (EMT), resulting in reduced intercellular adhesion and increased cancer cell invasiveness [37,38,39,40]. Many intracellular molecules belonging to the Wnt, Notch, mitogen-activated protein kinase (MAPK), as well as the protein kinase B (AKT)/extracellular signal-regulated kinase (ERK) pathways orchestrate this process. The loss of E-cadherin and the concomitant increase of expression of mesenchymal vimentin and N-cadherin, promote cell elongation and derange cell polarity [41]. As a consequence, cancer cells locally breach the BM to invade the surrounding ECM and connective tissues. Subsequently, tumor cells reach the lymphatic and/or blood vessels and travel to distant metastatic sites. Cells that succeed in surviving in the blood or lymphatic circulation harsh conditions extravasate into the stroma, colonizing the metastatic site [36]. The pre-metastatic niche is established before the arrival of tumor cells from the primary tumor and facilitates the seeding of malignant cells [42]. Its formation is mediated by secreted factors deriving from the primary tumor, which mainly act recruiting immune cells and inducing ECM remodeling due to the increased activity of lysis oxidase (LOX) and metalloproteases [42,43,44].

2.1. Regional Metastasis

Regional nodal metastasis arise once tumor cells, at the primary HNSCC site, penetrate the lymphatic channels and migrate to the regional lymph nodes of the neck, thus forming micrometastasis [45]. Lymph node metastasis (LNM) are critical prognostic indicators for oral and oropharyngeal carcinomas [46]. The spread to regional lymph nodes is made possible by the highly invasive nature of OSCC cells and the sustained lymphatic drainage from the oral cavity. The most common sites for OSCC metastasis are the cervical lymph nodes, and once established, the survival rate of the patients is reduced by 50% [47]. Cancer cells usually spread to the lymph nodes on the same side of the cancer primary site. However, controlateral or bilateral lymph node metastasis can occur, albeit rarely [47].
Among the various clinical risk factors associated with ESCC pathogenesis, lymph node metastasis significantly contribute to poor prognosis, with the overall 5-year survival rates post-surgery dropping from 70–92% to 18–47% in patients with LNM [48]. Hence, the accurate identification of the LNM status, by imaging and molecular approaches, plays a crucial role in determining treatment strategies as well as prognostic outcomes [49]. In ESCC, the colonization of lymph nodes by metastatic cells is dependent on the primary tumor site, the T-stage, and the tumor histotype [50]. Furthermore, since neo-adjuvant chemoradiation treatments affect not only the frequency but also the localization of nodal metastasis, it is important to take this into account in the subsequent radiotherapy and surgical approaches [51,52]. For upper, middle, as well as lower thoracic esophageal SCC, the stations around the esophagus are among those with the highest prevalence of lymph node metastasis. A multidirectional spread of lymph node metastasis in the abdomen, the mediastinum, and the neck is determined by the presence of a dense lymphatic network surrounding the esophagus [50]. Additionally, ‘skip metastasis’, skipping the first and directly metastasizing into the second or third lymph node echelons, are frequently seen. This contributes to the presence of lymph node metastasis at unexpected distant sites, which makes it difficult to standardize the extent of the radiation field and lymphadenectomy [50].

2.2. Distant Metastasis

At diagnosis, distant HNSCC metastasis are present in about 10% of the cases with an additional 20–30% developing metastasis during the course of the disease [47,53]. Diagnosis of distant metastasis is associated with unfavorable prognosis, with a median survival rate of about 10 months [54]. Positive regional lymph node involvement, extracapsular invasion of tumor cells, and HPV negativity are key factors increasing the risk of primary tumor cell dissemination to distant organs [55]. The lung is the commonest site for HNSCC metastatization, accounting for approximately 70–85% of the cases, followed by the bone, about 15–39% cases, and the liver, accounting for 10–30% of the cases. Other poorly described metastatic sites include skin, mediastinum and bone marrow [53].
The impact of ESCC distal metastasis on the survival and outcome of the patients has been widely investigated in various studies [33,56,57,58,59]. The prognosis of ESCC patients with distant metastasis is very poor, with a 5-year survival rate <5%. In recent years, the use of inhibitors of PD-L1 (pembrolizumab), VEGFR2 (ramucirumab), and HER-2 (trastuzumab) has significantly improved the overall 5-year survival rate [13,60]. Nonetheless, the establishment of an optimal treatment for ESCC with distant metastasis requires further studies and clinical trials. The most common distant metastasis sites of ESCC are, in descending order, the lung, the liver, and the bone [60,61]. In rare cases (1–5%) brain metastasis are observed in esophageal cancer patients [41]. Interestingly, ESCC shows a peculiar tendency for unexpected specific metastatic sites, such as the skin, penis, lips, or retina [62]. This is due to the fact that distant metastasis can leave the esophagus not only via lymphatic and venal routs, but also through the arteries which are numerous in this district [62].
In recent years, the relevance of the microenvironment in metastatic dissemination has been increasingly recognized, and besides tumor cell-intrinsic factors, much attention is now focused on stromal factors, ECM, and ECM remodeling [63].

3. ECM as a Multi-Armed Warrior in SCC Dissemination

The ECM exerts a strong impact on all the TME components. For their structural features, ECM molecules can interact with a variety of proteins, receptors, and soluble factors, thus influencing a plethora of signaling pathways involved in multiple processes, such as EMT, angiogenesis, lymphangiogenesis, as well as resistance to the therapies [64].
Through the engagement of cell surface receptors, interaction with other ECM molecules and release of growth factors/cytokines upon remodeling, the ECM significantly influences the behavior of tumor cells, as well as other tumor-associated cell types such as infiltrating leukocytes, vascular endothelial cells, pericytes, and lymphatic endothelial cells [28,65,66,67].
The reciprocal interactions occurring between cancer cells and the surrounding ECM orchestrate a complex cascade of events during USDT SCC malignant transformation (Figure 2). This continuous crosstalk impacts on many processes determining the tumor cell fate. In SCC, the ECM molecules play a direct role starting from the early phases of tumor formation, affecting the conversion of premalignant to malignant lesions [68], modulating the EMT processes, as well as influencing the invasive potential of SCC cells [68,69].
Integrins are the main receptors mediating the outside-in signals deriving from the ECM macromolecules, thus allowing the tumor cells to sense and react to the surrounding TME-derived stimuli [70,71]. Functioning as a link between the cytoskeleton and the extracellular environment, integrins activate signaling pathways controlling cell growth, differentiation, migration, and invasion [72]. Among these pathways, the mitogen-activated protein kinase-extracellular signal-regulated kinase (MEK-ERK) and phosphoinositide 3-kinase-protein kinase B (PI3K/Akt) signaling pathways are up-regulated in the presence of the ECM molecules [73]. Notably, changes in ECM composition and integrin profiles can exert profound effects on UADT SCC progression. Indeed, SCC tumors often display an altered expression of many integrins, impacting the activation of the ERK/MAPK signaling pathways. As an example, the T188I mutation of β1 integrin results in sustained ERK activation, whereas the up-regulation of integrin α5 associates with altered PI3K/Akt activation [74,75]. In OSCC, the major integrin receptors endowed with prognostic value include α2β1, α3β1, α5β1, and α6β4 [76]. The distinct expression of the integrins α6β4 and α6β1 at the invasion front, as well as the maintenance of a polarized integrin expression pattern in the tumor tissue, may serve as valuable new markers to assess ESCC aggressiveness [76]. In these patients, the α5 subunit plays an important role in the progression of the metastatic disease and represents a novel biomarker to predict the prognosis of ESCC patients [77]. Integrins are also emerging as promising mediators of lymph node metastasis since they mediate the interaction between metastatic cells and the lymph node-associated ECM, mainly composed by laminin, collagens, fibronectin, and vitronectin [78].
The adhesion of transformed cells to the ECM triggers outside-in signals which induce the expression and activation of catalytic enzymes, such as matrix-metalloproteinases (MMPs), that promote ECM remodeling and, in turn, cause the release of growth factors and active fragments. Among all the cytokines, the ECM processing results in the release of a number of key factors such as vascular endothelial growth factors (VEGFs), fibroblast growth factor (FGF), and hepatocyte growth factor (HGF) [28]. These molecules play a crucial role in tumor progression, as they are main drivers of the lymphangiogenesis and angiogenesis [79,80]. Indeed, one of the most important aspects of metastatic dissemination is the presence of newly formed lymphatic and blood vessels within the tumors. As mentioned above, these vessels represent the pathways through which tumor cells reach local or distant organs and establish new metastatic foci. In fact, the presence tumor-associated lymphangiogenesis is an indicator of the risk of lymph node metastasis in patients with UADT SCC [81,82]. In these patients, the increase of lymphatic vascularization leads to lymphatic invasion and subsequent lymph node metastasis [82]. Tumor-induced lymphangiogenesis is mediated mostly by VEGF-C and VEGF-D, produced and secreted by the tumor cells themselves, stromal cells, tumor-infiltrating macrophages, or activated platelets [83]. The high expression of VEGF-C and VEGF-D, as well as of other cytokines, including angiopoietins, insulin-like growth factor, and fibroblast growth factor, is associated with lymph node metastasis and poor prognosis in HNSCC [84]. VEGF-A, another member of VEGF family, is the main cytokine prompting tumor angiogenesis [85]. The development of new blood vessels is required to supply the tumor cells with nutrients and oxygen and occurs when the balance between pro- and anti-angiogenic factors tilts towards a pro-angiogenic TME. However, tumor associated vessels are abnormally leaky and represent a permissive route for metastatic dissemination. In UADT SCC, a high expression and activity of pro-angiogenic factors such as VEGF-A, HGF and FGF correlates with a more advanced disease and poor patient prognosis [86].
Lastly, increasing evidence indicate that ECM can dramatically influence the therapeutic response to the treatments impacting on the patient outcome. The increased ECM stiffness associated with tumors results in elevated interstitial pressure which acts as a barrier inhibiting the penetration and diffusion of the therapeutic drugs [87]. Impaired drug delivery can also be exacerbated by the formation of non-proficient vasculature, when the developed vessels are leaky and inefficient in delivering the therapeutics to the tumor site [88]. Some ECM molecules have been shown to play a key role in this context by impinging on VEGF-A and interleukin 8 (IL-8) pathways in other tumor types, i.e., in melanoma [89,90]. Given the important role of VEGF-A and IL-8 in determining UADT SCC outcome, we can hypothesize that the same mechanisms related to drug delivery and efficacy may take place also in HNSCC and ESCC. An additional mechanism through which the ECM influences USDT SCC chemoresistance relies on the interaction between integrins, in particular integrin α5, and the ECM which activates the FAK/PI3K/AKT signaling cascade protecting cells from the drug-induced apoptosis [91,92].
Understanding how the ECM composition and biomechanical properties affect cancer progression and the response to chemotherapeutic drugs is vital towards the development of targeted treatments.

4. ECM in UADT SCC: An Intertwined Story

The ECM can be divided into two specialized types of matrices: the BM and the interstitial matrix (IM) [93]. Under healthy conditions, the BM is a well-structured ECM-composed sheet underlining epithelial and endothelial cells and separating them from the IM. The IM makes up for most of the stroma and plays a major role in cell migration, cell adhesion, angiogenesis, tissue development and repair. In the TME, the ECM composition is utterly abnormal due to different processes: first, increased expression of ECM molecules by cancer-associated fibroblast (CAFs) [94,95,96], which in conjunction with higher levels of modification enzymes, contributes to increase tissue stiffness [97,98]; second, a concomitant activation of proteases leading to ECM degradation and remodeling, with a consequent release of active fragments and growth factors [99,100] (Figure 3).
During tumor progression, despite recent evidence indicating that tumors cells may also play a role, CAFs are the major culprits for the dysregulated collagen turnover leading to fibrosis, characterized by excessive collagen depositions [101,102]. CAFs display distinct morphological and biological characteristics from normal fibroblasts. From the molecular point of view, they express high levels of α-smooth muscle actin (α-SMA), fibroblast activation protein (FAP), fibroblast-specific protein-1 (FSP-1), platelet-derived growth factor receptor α/β (PDGFR α/β) and vimentin [22].CAFs promote UADT SCC progression by secreting cytokines/growth factors and ECM proteins, as well as MMPs, thus influencing tumor cell proliferation, angiogenesis, inflammation, metastatic invasion, and drug resistance [103,104,105,106].
The ECM comprises two classes of macromolecules: fibrillar proteins and proteoglycans. Fibrillar proteins such as collagens, fibronectin, and laminins display both structural and functional properties. Not only do they represent a scaffold for the cells, but also induce cellular responses following the engagement of cell surface receptors. The main ECM molecules exerting a role in UADT SCC are detailed in the following paragraphs and summarized in Table 1.

4.1. Collagens

Collagens are the most represented proteins in the ECM [99,152] and are organized in a meshwork surrounded by proteins such as elastin and glycoproteins causing resilience to the extensive tensile strength. Twenty-eight different collagens have been so far identified, thus providing a unique ECM composition in different tissues. In the BM, the most represented collagens are type IV and type VIII, whereas the IM is prevalently composed by type I, II, III, V, XI, XXIV, XXVII collagens. Type VI collagen is found in the interface between the BM and the IM. Even if many of these collagens are mis-regulated in UADT SCC cancer, among them collagen I is the most extensively studied and its expression is often increased in this tumor type [105,107]. Collagen I harbors two CYP1 chains (COL1A1) and a single CYP2 chain (COL1A2). In ESCC and OSCC, through the engagement of integrin αvβ8, the COL1A2 chain promotes EMT by activating the FAK/MEK/ERK signaling pathway resulting in higher tumor cell aggressiveness [107,108]. Of note, the expression of COL1A1 was one of the highest among other collagens analyzed [102]. In the same study, and in accordance with other publications [101,153], it was reported that the mis-regulation of most of the collagen genes is a common trait in USDT SCC. Among them, the expression of COL1A1, COL10A1, and COL11A1 were found to be particularly high in tumor tissues compared with normal counterpart; on the contrary, the expression of COL4A4, COL6A5 and COL14A1 was significantly lower in tumor tissues. Importantly, the expression of COL6A5 and COL18A1 strongly correlated with the overall survival of ESCC patients and might represent a robust prognostic biomarkers for ESCC [102].
The collagen content in the TME is the result of the balance between gene expression and proteolytic degradation, mostly due to MMPs hyper-activation. Notably, the cleavage of collagens can lead to the release of biologically active fragments that, in turn, can influence other processes within the TME [99]. As an example, the C-terminus of collagen I, once released, induces the expression of cytokines such as VEGF-A as well as MMP-2 and -9, further promoting ECM remodeling and angiogenesis [154]. The collagen XVIII derived C-terminal fragment endostatin is one of the most important soluble factors stimulating tumor angiogenesis [155]. In UADT SCC, endostatin displays a key role in vessel formation and tumor dissemination, also influencing the efficacy of targeted and radio therapies; for these reasons endostatin is under evaluation as valuable target for combinatorial therapeutic approaches [156,157].
Collagens can trigger intracellular signaling also in an integrin-independent manner. For instance COL11A1 through the engagement of the receptor tyrosine kinase discoidin domain receptor 1 (DDR1) stimulates the proliferation and migration of HNSCC cells and attenuates the apoptotic response to cisplatin [109]. Once activated, DDR1 triggers a number of downstream signaling pathways [110], inducing the expression of pro-inflammatory mediators as well as matrix degrading enzymes overall resulting in more migratory and invasive phenotypes [158]. In HNSCC, COL11A1 has been implicated in the formation of lymph node metastasis, since its expression was shown to be seven-fold higher compared with tumors that had not metastasized [111,112].

4.2. Fibronectin

Another fibrillar ECM molecule affecting UADT SCC dissemination is fibronectin (FN) [159,160,161]. As opposed to plasma FN, the type of FNs up-regulated in tumors, referred to as oncofetal variants, harbor alternatively spliced exons encoding the highly conserved FN type III extra domains A (EDA) and/or B (EDB). Notably, FN-EDA is a marker of the tumor vasculature [162] and a principal component of the pre-metastatic niche in a variety of tumors [113]. In both HNSCC and ESCC, FN expression is increased compared with normal tissues and its high expression associates with poor patient prognosis and resistance to radiotherapy [114,115,116]. A high FN content facilitates tumor cell metastasis by promoting morphological changes and improving the motility and migratory ability of ESCC cells. In this context, FN acts as a physical scaffold laying the path for tumor cell invasion. The migration of SCC cells on fibrillar FN-rich matrices is achieved through the engagement of integrins αvβ6 and α9β1 [115], and associates with the activation of latent TGF-β at the tumor-stroma interface which, in turn, can further support tumor progression by prompting angiogenesis [117]. In case of highly invasive OSCC cells expressing low levels of E-cadherin, FN induces fast cell migration associated with increased Rac1 activation and weaker cell-ECM adhesion; on the other hand, in high E-cadherin-expressing poorly invasive OSCC cells, FN produces a collective, non-directional migration, with high RhoA activity and altered cell-ECM adhesion [118].

4.3. Laminins

Together with collagen IV, laminins are the major components of the BM [163]. Laminins are composed by a combination of α, β and γ chains and exert a number of effects on adjacent cells, including cell adhesion, cell migration and cell differentiation, mainly occurring via integrin engagement [164]. Their importance in BM homeostasis is highlighted by the fact that, during tumor progression, laminins are considered a molecular marker of BM degradation. The deposition of a number of laminins is altered in the UADT SCC TME [165], and their expression level can be useful to evaluate the histological differentiation and aggressiveness of some HNSCC [166].
The most studied laminin in the context of UADT SCC is laminin-5 (also known as laminin 332) an epithelial-BM-specific variant [119]. Its heterotrimer is composed of the α3, β3, and γ2 chains, encoded by the LAMA3, LAMB3, and LAMC2 genes, respectively. Laminin-5 promotes cell survival, proliferation, and migration by triggering the activation of integrin α3β1 and α6β4 and the downstream phosphatidylinositol 3-kinase (PI3K) [120].
In OSCC, laminin-5 is over-expressed and its increased levels associate with enhanced tumor invasiveness [119]. Interestingly, alterations are observed not only in the amount but also in the deposition pattern, which shows peculiar irregularities [121]. Invading cells adhere to the aberrant laminin-5 structure and migrate through the interaction with integrin α3β1. Highly invasive OSCC cells show an increased motility on laminin-5, when compared with less invasive cell lines [122]. This increased motility is thought to be regulated by the enhanced integrin α2β1 and α3β1 expression [167]. The same integrin engagement by tumor cells occurs under conditions consistent with lymphodynamic flow. These interactions are supposed to be critical for downstream tumor cell growth and survival within the lymph node microenvironment [78]. The finding that in HNSCC the laminin-5/α6β4 integrin binding is targeted by miR-29s, leading to decrease cell invasion, allowed to speculate for new potential therapeutic strategies for these patients [123].

4.4. Tenascin-C

Tenascin-C (TNC) is a hexameric, multimodular ECM protein with several molecular structures generated through alternative splicing and protein modifications [168]. TNC has many binding partners, including other ECM molecules, cell surface receptors, and soluble factors [169]. TNC over-expression is repeatedly observed in cancer, often at the invasive tumor front [170], and associates with poor clinical outcome in several malignancies, including UADT SCC [124,125,126]. Due to the multiple interactions in which it is involved, TNC directs a plethora of cell signaling and gene expression programs, thus shaping mechanical and biochemical traits within the TME [171]. TNC exerts pro-tumorigenic functions interacting with a variety of cell types within the TME, including cancer cells themselves, CAFs, lymphocytes, and tumor-associated macrophages, as well as endothelial cells thus promoting angiogenesis [172]. TNC, together with other ECM molecules such as laminin-5 [127], takes part in the formation of a meshwork functioning as a route for cancer cell invasion, additionally it also stimulates tumor cell invasion by promoting the EMT switch via the Akt/HIF1α axis [128]. Interestingly, it was recently shown that TNC contributes to the formation of an immune-suppressive lymphoid stroma activating the CCL21/CCR7 signaling pathway [129]. The subsequent increased recruitment of T regulatory cells and the enhancement of the expression of anti-inflammatory cytokines further contributes to the pro-metastatic effects associated with high TNC expression levels.
Interestingly, compared to the healthy controls, higher TNC serum levels are detectable in patients affected by late-stage HNSCC or recurrent disease [130]. Even if further investigations will be necessary to better evaluate if the serum levels of TNC hold value as tumor markers, these results grant further hope for the development of ECM-derived markers useful to predict the clinical outcome of patients.

4.5. SPARC

The secreted protein acidic and rich in cysteine (SPARC) was originally identified as a collagen-binding glycoprotein and it is involved in many biological processes, including tissue remodeling, angiogenesis, and cancer cell differentiation and migration [173]. The functions of SPARC are mediated by multiple interactions with MMPs and growth factors, endowing the molecule with the capability to evoke a number of events within the TME. The role of SPARC in carcinogenesis is controversial and context dependent. In melanomas and gliomas, enhanced SPARC expression associates with a highly aggressive tumor phenotype, whereas in pancreatic adenocarcinoma, acute myeloid leukemia, and ovarian and colorectal carcinomas, SPARC behaves as a tumor suppressive molecule [174,175,176,177]. These opposing actions of SPARC may be due to the peculiar molecular mechanisms characterizing the various tumor types, as well as by the differential expression of cancer-specific proteases [173].
Many investigations report that in UADT SCC the SPARC expression level is higher compared to the normal tissue. In HNSCC, SPARC represents a powerful independent prognostic marker for short disease-free interval and poor overall survival [131]. The same role for the molecule was demonstrated in ESCC, in which high SPARC expression closely associates with ESCC metastasis [132]. Overall, the level of SPARC in the UADT SCC TME represents a potential predictor of poor prognosis and has been shown also to associate with impaired sensitivity to chemotherapy [133]. All these evidence prompted to propose SPARC as a therapeutic target for these types of tumors [134].

4.6. Proteoglycans

In the context of UADT SCC, there are few published evidence demonstrating a prominent role of proteoglycans in determining their fate. However, most likely this does not mean that proteoglycans do not play a role in this context. In fact these type of molecules have been shown to impact tumor growth and development through different processes [28,178,179,180], and the lack of knowledge should prompt to verify the role of these molecules also in UADT SCC.
Among the main heparan sulfate proteoglycans (HSPG), agrin and perlecan [181] are important components of the BM and are over-expressed in some cancers, such as prostate cancer, hepatocellular carcinoma, and breast cancer, and their higher levels associate with tumor development and progression. Interestingly, these HSPGs also affect UADT SCC development [182].
Perlecan consists of a protein core, divided into several unique structural regions, modified by the addition of N-terminal heparan sulfate side chains, each imparting distinct functional diversity to the molecule [183,184]. In OSCC, perlecan is differentially expressed and its functions are highly dependent on the peculiar invasive properties of the tumor [135], indicating that its role is dependent on other TME components, such as the expression of growth factors which are retained within its meshwork, as well as the activity of specific proteases responsible of its processing. In this view, the proteolytic cleavage of perlecan by cathepsin L results in the generation of a C- terminal fragment named endorepellin which exerts its own biological activity [185,186]. No data are available regarding the role of endorepellin in UADT SCC, however, since cathepsin L is over-expressed in this context [136], we can envision that endorepellin may also impinge on these tumor types. It is interesting to note that, while perlecan exerts strong pro-angiogenic functions, its fragment endorepellin displays opposite effects. The fine regulation of angiogenesis by these two players should be envisioned as an additional mechanism impacting on UADT SCC metastatization.
Agrin shares with perlecan a rather intriguing multimodular organization [187]. The amino acid sequence of agrin encodes for a protein with a molecular size of 220 kDa, however the apparent molecular weight in SDS-PAGE is around 400 kDa due to the presence of long heparan sulfate and chondroitin sulfate glycosaminoglycans (GAGs) chains attached to the protein core [182]. In hepatocellular carcinoma, agrin acts as a sensor boosting oncogenic signals and regulating Arp2/3-dependent ruffling, invadopodia formation, and EMT through sustained focal adhesion integrity [137]. In UADT SCC, high agrin expression is predictive of poor patient prognosis [187]. Agrin influences tumor cell migration, adhesion and resistance to chemotherapy impacting on FAK, ERK and cyclin D1 activation [187]. Upon local invasion processes, agrin is processed by MMP-3 and neurotrypsin, generating a C-terminal biologically active soluble fragment [138]. Importantly, this fragment could represent a promising new biomarker for pathological processes, including sarcopenia, renal dysfunction and colorectal cancer [139,140,141]. If this fragment can function as a potential marker also in UADT SCC, needs to be determined.

4.7. Hyaluronan

Hyaluronan (HA), a non-sulphated glycosaminoglycan, is another ECM component with multiple functions in healthy conditions as well as in disease, including cancer [188,189,190]. In UADT SCC, HA is often altered and its increase associates with a higher tumor invasive phenotype [142,143,144]. During tumorigenesis, HA is processed in small fragments by different hyaluronidases among which Hyal-1 is the most abundant in HNSCC; since these fragments are detectable in the saliva, HA might serve as an early easily detectable marker for HNSCC [145,146,147]. The major cell-surface receptor for HA is CD44; its expression is increased in the sites of tumor invasion and one of its isoforms, CD-44v3, has been closely linked to progression and to chemoresistance of UADT SCC [191]. The interaction of HA with CD44 has been shown to be key in regulating the SCC stem cell signaling cascades [192,193,194]. Though the role of the HA-CD44 signaling axis has not been fully unveiled in these types of tumors, it has been demonstrated that this interaction promotes a complex Nanog-Stat3 signaling pathway that regulates the miR-21 gene expression and production. As a consequence, miR-21 down-regulates the tumor suppressor protein programmed cell death 4 (PDCD4), leading to HNSCC cell survival and chemoresistance [148]. Beside miR-21 activity, the expression of miR-302 was also induced in HNSCC following the interaction of HA with CD44 via the formation of the OCTA4/SOX2/Nanog complex [149]. In turn, enhanced miR-302 expression favors tumor cell survival and chemoresistance [148,149,195,196,197].
Additionally, HA has been demonstrated to promote HNSCC progression by promoting the association of CD44 with EGFR with a subsequent enhanced activation of EGFR and the downstream MAPK pathway, one of the most altered pathways in HNSCC [150]. The phosphorylation of EGFR prompted by the interaction between HA and CD44 has been shown to regulate ERK 1 and ERK 2, key in driving tumor cell proliferation and migration [150,151].
Taken together, these evidence have shed some light into the understanding of the molecular mechanism by which HA affects head and neck cancers, opening the possibility to develop new drug targets but also to exploit its fragments as early markers for HNSCC.

5. EMC Stiffness: The Dark Side of the Mechanical Force

Although tumor stiffness has been mainly studied in other tumor types, biophysical forces display an important effect also in UADT SCC formation and development [198,199,200]. In general, tumor tissues are often characterized by pronounced stiffness of which the cross-linking of collagen is the major culprit [97]. In fact, increased stiffness derives from both a higher expression of collagens, mainly collagen I, and an increased activity of lysis oxidase (LOX) enzymes, which produce intermolecular cross-links between collagen I fibers themselves and other proteins such as collagen III and IV and FN [201,202]. Stiffness elicits behavioral effects on the adjacent tumor cells affecting cell proliferation, differentiation, as well as migration and invasion, thus impacting on the metastatic process [201,203]. Among all the tumor-associated cell types, endothelial cells are particularly sensitive ECM mechanical property changes. Mechanical strength alterations in the TME significantly impact endothelial cell signaling and behavior, triggering angiogenesis and consequently favoring tumor cell dissemination [204]. High tumor stiffness was shown to promote EMT in SCC cells and to enhance their motility [98]. The molecular mechanism driving EMT in this context relies on FAK (focal adhesion kinase) activation and PI3K/integrin signaling [205,206]. More in detail, the high matrix stiffness triggers integrin activation thus promoting the signaling through the FAK-Src complexes which consequently induce a Rho/ROCK-dependent myosin-mediated cellular contractile force, resulting in an invasive phenotype [207]. However, the stiffness sensitivity of cancer cells appears to be context dependent. Squamous carcinoma cells of the human tongue are less stiff compared to the healthy tissue, confirming that high stiffness is not always systematically associated with tumor phenotypes [208]. At the clinical level, increases in stiffness seem to correlate with advanced stages of the disease and shorter recurrence-free survival time. Taken together, these evidence suggest that the progression of oral cancers, similarly to other epithelial tumors, is mechanically sensitive [200].

6. The Turmoil of Scissor-Handed Proteases

ECM remodeling is an ongoing process functional to tissue development and repair as well as in pathological conditions as cancer [209]. The interweaving of ECM within the TME relies on the activity of proteases, whose mechanism of action has been thoroughly investigated in a variety of cancers [210]. Among them, MMPs are the major players [204].
MMPs are zinc metalloenzymes encoded by at least 26 distinct genes [100,211,212]. The members of the MMP family display structural similarities, albeit with substantial differences, however, they are all produced as inactive precursors harboring a pro-peptide sequence. The cleavage of the pro-domain results in MMP activation and occurs in the pericellular space in an integrin-dependent manner (e.g., for pro-MMP2) or intracellularly due to the activity of furin-like proprotein convertases (e.g., for MT-MMPs) [213]. The catalic domain possesses a zinc (Zn2+) active site linked to the hemopexin-like C-terminal portion [214,215], which determines the substrate specificity [216,217]. MMPs are capable of cleaving a number of ECM components, resulting in their degradation and, often, the release of active fragments, as for instance demonstrated for collagen XVIII, perlecan and agrin [135,138,154]. Since the ECM is a reservoir of many growth factors, the MMP activity induces the release of a number of cytokines such as VEGF-A, -C and -D, FGF, and EGF [204]. MMP function is tightly regulated at both transcriptional and post transcriptional levels by the action of pivotal growth factors, such as TGF-β1 [218], as well as their specific activating enzymes and/or inhibitors [219], respectively.
MMPs have been found to be up-regulated in many cancer types [220]. In the UADT SCC, MMPs play critical roles impacting key processes such as angiogenesis, local invasion, and tumor cell intravasation and extravasation, thus displaying a strong impact in metastasis formation [221]. The expression of multiple MMPs has been extensively investigated in UADT SCC, these analyses demonstrated that the expression of MMP-1, MMP-2, MMP-3, MMP-7,MMP-9, and MT1-MMP was significantly up-regulated compared to the normal tissues [87,222,223]. Importantly, the expression of MMP-2, -3 -7, -9 positively correlates with the depth of invasion, lymph node metastasis, and vessel permeation in these patients [223,224,225,226]. Not only the levels, but also the spatial localization of MMPs is important in determining their impact during tumor progression. Notably, the expression of MMP-7 at the invasive tumor front associates with the disease recurrence and with a shorter disease-free and overall survival [227]. On the contrary, increased MMP-1 levels in ESCC inversely correlate with the patient prognosis [228]. It is interesting to point out that MMP-1 is responsible for collagen degradation within the primary tumor site, thus playing a crucial role in local invasion, while its activity does not affect the distant dissemination of tumor cells [228]. Among the altered MMPs, strong attention has been paid to the potential prognostic role of MMP-9 given the crucial role of this MMP in EMT and tumor angiogenesis. Indeed, the knockdown of MMP-9 attenuates the TGF-β1-induced EMT preventing the invasiveness and migration of ESCC cells [229]. In fact, increased MMP-9 expression positively associates with the expression levels of vimentin and SNAI1. Notably, MMP-9 participates in the proteolysis of the microvascular BM and the subsequent intravasation of cancer cells, thus contributing to metastatic dissemination [227,229,230]. In accordance, due to its role in driving UADT SCC progression, MMP-9 up-regulation correlates with shortened relapse-free survival and poor patient prognosis [231,232].
Recently, the MMP-1 and MMP-9 plasma levels in UADT SCC patients have been considered as potential prognostic or predictive biomarkers. High plasma levels of free MMP1 have been shown to associate with a worse ESCC patient prognosis [233]. On the contrary, the MMP-9 plasma levels were lower in UADT SCC patients compared with healthy individuals, thus MMP-9 has been proposed as a potential prognostic biomarker of overall survival for the response to chemoradiotherapy [234,235]. Taken together, these results suggest that MMPs represent a promising mean for the development of new non-invasive liquid biopsy-based tools to improve the management of UADT SCC patients.
Another group of proteases involved in UADT SCC progression is the ADAM family, consisting of transmembrane secretory proteins arranged in multiple domains [236,237]. These proteases play an important role in basement membrane degradation, cell migration, and metastatic dissemination [238,239,240,241,242]. In particular, increased levels of ADAM 8, 9, 10, 12, 17, and 28 have been found in OSCC [243,244,245]. Specifically, ADAM 10 modulates the malignant behavior of oral keratinocytes via the interaction with integrin αvβ6 and the over-expression of MMPs [246]. Moreover, high levels of ADAM 12 correlates with increased OSCC progression [237], whereas the ADAM 17 associates with nodal metastasis, local recurrence, and OSCC invasion [247].
The major proteases and growth factors involved in UADT SCC development displaying putative value as biomarkers are summarized in Table 2.

7. Conclusions and Future Perspectives

In the past few years, the use of immunotherapy has opened a new perspective in the management of cancer patients, with promising improvements also in the treatment of UADT SCC. We foresee that, in the future, the identification of efficacious combinatorial treatments may represent an encouraging strategy to improve the patient outcome. However, we consider that to further improve the management of UADT SCC patients, the search for new biomolecular targets and a better understanding of the molecular mechanisms involved in metastasis formation are key for the identification and treatment of UADT SCC patients with high risk of recurrence. In this perspective, due to its multiple function in the TME, the ECM may represent a vital field of investigation.

Author Contributions

A.F. and L.C. wrote part of the manuscript; A.F., E.P. and G.C. created the figures and the table; E.A. wrote part of the manuscript and organized the subjects; M.M. and E.A. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Association of Cancer Research (AIRC) (grant# IG-23643 to MM) and the Italian Ministry of Health (grant# RF-2018-12365425 to MM).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wenig, B.M. Squamous Cell Carcinoma of the Upper Aerodigestive Tract: Dysplasia and Select Variants. Mod. Pathol. 2017, 30, S112–S118. [Google Scholar] [CrossRef] [PubMed]
  2. Lee, Y.-C.A.; Zugna, D.; Richiardi, L.; Merletti, F.; Marron, M.; Ahrens, W.; Pohlabeln, H.; Lagiou, P.; Trichopoulos, D.; Agudo, A.; et al. Smoking Addiction and the Risk of Upper-Aerodigestive-Tract Cancer in a Multicenter Case–Control Study. Int. J. Cancer 2013, 133, 2688–2695. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Sapkota, A.; Hsu, C.C.; Zaridze, D.; Shangina, O.; Szeszenia-Dabrowska, N.; Mates, D.; Fabiánová, E.; Rudnai, P.; Janout, V.; Holcatova, I.; et al. Dietary Risk Factors for Squamous Cell Carcinoma of the Upper Aerodigestive Tract in Central and Eastern Europe. Cancer Causes Control 2008, 19, 1161. [Google Scholar] [CrossRef] [PubMed]
  4. Pelucchi, C.; Gallus, S.; Garavello, W.; Bosetti, C.; La Vecchia, C. Alcohol and Tobacco Use, and Cancer Risk for Upper Aerodigestive Tract and Liver. Eur. J. Cancer Prev. 2008, 17, 340–344. [Google Scholar] [CrossRef]
  5. Bugter, O.; van de Ven, S.E.M.; Hardillo, J.A.; Bruno, M.J.; Koch, A.D.; Baatenburg de Jong, R.J. Early Detection of Esophageal Second Primary Tumors Using Lugol Chromoendoscopy in Patients with Head and Neck Cancer: A Systematic Review and Meta-Analysis. Head Neck 2019, 41, 1122–1130. [Google Scholar] [CrossRef] [PubMed]
  6. Chen, Y.-H.; Lu, H.-I.; Chien, C.-Y.; Lo, C.-M.; Wang, Y.-M.; Chou, S.-Y.; Li, S.-H. Efficacy of Different Chemotherapy Regimens in Patients with Locally Advanced Synchronous Esophageal and Head/Neck Squamous Cell Carcinoma Receiving Curative Concurrent Chemoradiotherapy. J. Clin. Med. 2020, 9, 197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Bognár, L.; Hegedűs, I.; Bellyei, S.; Pozsgai, É.; Zoltán, L.; Gombos, K.; Horváth, Ö.P.; Vereczkei, A.; Papp, A. Prognostic Role of HPV Infection in Esophageal Squamous Cell Carcinoma. Infect. Agent. Cancer 2018, 13, 38. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Talukdar, F.R.; Ghosh, S.K.; Laskar, R.S.; Kannan, R.; Choudhury, B.; Bhowmik, A. Epigenetic Pathogenesis of Human Papillomavirus in Upper Aerodigestive Tract Cancers. Mol. Carcinog. 2015, 54, 1387–1396. [Google Scholar] [CrossRef] [PubMed]
  9. Sacks, P.-L.; Alvarado, R.; Sacks, R.; Gallagher, R.; Harvey, R. Prognostic Biomarkers of Human Papilloma Virus (HPV)-Positive Neoplasia of the Upper Aerodigestive Tract: A Systematic Review. Aust. J. Otolaryngol. 2018, 1. [Google Scholar] [CrossRef]
  10. Michmerhuizen, N.L.; Birkeland, A.C.; Bradford, C.R.; Brenner, J.C. Genetic Determinants in Head and Neck Squamous Cell Carcinoma and Their Influence on Global Personalized Medicine. Genes Cancer 2016, 7, 182–200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Raudenská, M.; Balvan, J.; Masařík, M. Cell Death in Head and Neck Cancer Pathogenesis and Treatment. Cell Death Dis. 2021, 12, 192. [Google Scholar] [CrossRef]
  12. Hirano, H.; Kato, K. Systemic Treatment of Advanced Esophageal Squamous Cell Carcinoma: Chemotherapy, Molecular-Targeting Therapy and Immunotherapy. Jpn. J. Clin. Oncol. 2019, 49, 412–420. [Google Scholar] [CrossRef] [PubMed]
  13. Yang, Y.-M.; Hong, P.; Xu, W.W.; He, Q.-Y.; Li, B. Advances in Targeted Therapy for Esophageal Cancer. Signal Transduct. Target. Ther. 2020, 5, 229. [Google Scholar] [CrossRef]
  14. Kitamura, N.; Sento, S.; Yoshizawa, Y.; Sasabe, E.; Kudo, Y.; Yamamoto, T. Current Trends and Future Prospects of Molecular Targeted Therapy in Head and Neck Squamous Cell Carcinoma. Int. J. Mol. Sci. 2020, 22, 240. [Google Scholar] [CrossRef] [PubMed]
  15. Bozec, A.; Culié, D.; Poissonnet, G.; Dassonville, O. Current Role of Primary Surgical Treatment in Patients with Head and Neck Squamous Cell Carcinoma. Curr. Opin. Oncol. 2019, 31, 138–145. [Google Scholar] [CrossRef]
  16. Saeki, H.; Sohda, M.; Sakai, M.; Sano, A.; Shirabe, K. Role of Surgery in Multidisciplinary Treatment Strategies for Locally Advanced Esophageal Squamous Cell Carcinoma. Ann. Gastroenterol. Surg. 2020, 4, 490–497. [Google Scholar] [CrossRef]
  17. Oosting, S.F.; Haddad, R.I. Best Practice in Systemic Therapy for Head and Neck Squamous Cell Carcinoma. Front. Oncol. 2019, 9, 815. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Johnson, D.E.; Burtness, B.; Leemans, C.R.; Lui, V.W.Y.; Bauman, J.E.; Grandis, J.R. Head and Neck Squamous Cell Carcinoma. Nat. Rev. Dis. Primer 2020, 6, 92. [Google Scholar] [CrossRef]
  19. Lee, Y.-G.; Kang, E.J.; Keam, B.; Choi, J.-H.; Kim, J.-S.; Park, K.U.; Lee, K.E.; Kwon, J.H.; Lee, K.-W.; Kim, M.K.; et al. Treatment Strategy and Outcomes in Locally Advanced Head and Neck Squamous Cell Carcinoma: A Nationwide Retrospective Cohort Study (KCSG HN13–01). BMC Cancer 2020, 20, 813. [Google Scholar] [CrossRef]
  20. Cristina, V.; Herrera-Gómez, R.G.; Szturz, P.; Espeli, V.; Siano, M. Immunotherapies and Future Combination Strategies for Head and Neck Squamous Cell Carcinoma. Int. J. Mol. Sci. 2019, 20, 5399. [Google Scholar] [CrossRef] [Green Version]
  21. Baghban, R.; Roshangar, L.; Jahanban-Esfahlan, R.; Seidi, K.; Ebrahimi-Kalan, A.; Jaymand, M.; Kolahian, S.; Javaheri, T.; Zare, P. Tumor Microenvironment Complexity and Therapeutic Implications at a Glance. Cell Commun. Signal. 2020, 18, 59. [Google Scholar] [CrossRef] [Green Version]
  22. Peltanova, B.; Raudenska, M.; Masarik, M. Effect of Tumor Microenvironment on Pathogenesis of the Head and Neck Squamous Cell Carcinoma: A Systematic Review. Mol. Cancer 2019, 18, 63. [Google Scholar] [CrossRef] [PubMed]
  23. Curry, J.M.; Sprandio, J.; Cognetti, D.; Luginbuhl, A.; Bar-ad, V.; Pribitkin, E.; Tuluc, M. Tumor Microenvironment in Head and Neck Squamous Cell Carcinoma. Tumor Microenviron. 2014, 41, 217–234. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Andreuzzi, E.; Capuano, A.; Pellicani, R.; Poletto, E.; Doliana, R.; Maiero, S.; Fornasarig, M.; Magris, R.; Colombatti, A.; Cannizzaro, R.; et al. Loss of Multimerin-2 and EMILIN-2 Expression in Gastric Cancer Associate with Altered Angiogenesis. Int. J. Mol. Sci. 2018, 19, 3983. [Google Scholar] [CrossRef] [Green Version]
  25. Marastoni, S.; Andreuzzi, E.; Paulitti, A.; Colladel, R.; Pellicani, R.; Todaro, F.; Schiavinato, A.; Bonaldo, P.; Colombatti, A.; Mongiat, M. EMILIN2 Down-Modulates the Wnt Signalling Pathway and Suppresses Breast Cancer Cell Growth and Migration. J. Pathol. 2014, 232, 391–404. [Google Scholar] [CrossRef] [PubMed]
  26. Eble, J.A.; Niland, S. The Extracellular Matrix in Tumor Progression and Metastasis. Clin. Exp. Metastasis 2019, 36, 171–198. [Google Scholar] [CrossRef]
  27. Iozzo, R.V.; Gubbiotti, M.A. Extracellular Matrix: The Driving Force of Mammalian Diseases. Matrix Biol. J 2018, 71–72, 1–9. [Google Scholar] [CrossRef] [PubMed]
  28. Mongiat, M.; Buraschi, S.; Andreuzzi, E.; Neill, T.; Iozzo, R.V. Extracellular Matrix: The Gatekeeper of Tumor Angiogenesis. Biochem. Soc. Trans. 2019, 47, 1543–1555. [Google Scholar] [CrossRef]
  29. Jin, M.-Z.; Jin, W.-L. The Updated Landscape of Tumor Microenvironment and Drug Repurposing. Signal Transduct. Target. Ther. 2020, 5, 166. [Google Scholar] [CrossRef]
  30. Ye, L.-L.; Rao, J.; Fan, X.-W.; Kong, F.-F.; Hu, C.-S.; Ying, H.-M. The Prognostic Value of Tumor Depth for Cervical Lymph Node Metastasis in Hypopharyngeal and Supraglottic Carcinomas. Head Neck 2019, 41, 2116–2122. [Google Scholar] [CrossRef]
  31. Abdeyrim, A.; He, S.; Zhang, Y.; Mamtali, G.; Asla, A.; Yusup, M.; Liu, J. Prognostic Value of Lymph Node Ratio in Laryngeal and Hypopharyngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis. J. Otolaryngol-Head Neck Surg. 2020, 49, 31. [Google Scholar] [CrossRef] [PubMed]
  32. Chang, W.-C.; Lin, C.-S.; Yang, C.-Y.; Lin, C.-K.; Chen, Y.-W. Lymph Node Density as a Prognostic Predictor in Patients with Betel Nut-Related Oral Squamous Cell Carcinoma. Clin. Oral Investig. 2018, 22, 1513–1521. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Chen, Y.-H.; Lu, H.-I.; Lo, C.-M.; Wang, Y.-M.; Chou, S.-Y.; Hsiao, C.-C.; Shih, L.-H.; Chen, S.-W.; Li, S.-H. Neck Lymph Node Metastasis as A Poor Prognostic Factor in Thoracic Esophageal Squamous Cell Carcinoma Patients Receiving Concurrent Chemoradiotherapy: A Propensity Score-Matched Analysis. Sci. Rep. 2018, 8, 15073. [Google Scholar] [CrossRef] [PubMed]
  34. Beckham, T.H.; Leeman, J.E.; Xie, P.; Li, X.; Goldman, D.A.; Zhang, Z.; Sherman, E.; McBride, S.; Riaz, N.; Lee, N.; et al. Long-Term Survival in Patients with Metastatic Head and Neck Squamous Cell Carcinoma Treated with Metastasis-Directed Therapy. Br. J. Cancer 2019, 121, 897–903. [Google Scholar] [CrossRef]
  35. Sahai, E. Illuminating the Metastatic Process. Nat. Rev. Cancer 2007, 7, 737–749. [Google Scholar] [CrossRef]
  36. Fares, J.; Fares, M.Y.; Khachfe, H.H.; Salhab, H.A.; Fares, Y. Molecular Principles of Metastasis: A Hallmark of Cancer Revisited. Signal Transduct. Target. Ther. 2020, 5, 28. [Google Scholar] [CrossRef]
  37. Fukusumi, T.; Guo, T.W.; Sakai, A.; Ando, M.; Ren, S.; Haft, S.; Liu, C.; Amornphimoltham, P.; Gutkind, J.S.; Califano, J.A. The NOTCH4-HEY1 Pathway Induces Epithelial-Mesenchymal Transition in Head and Neck Squamous Cell Carcinoma. Clin. Cancer Res. 2018, 24, 619–633. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Forghanifard, M.M.; Azaraz, S.; Ardalan Khales, S.; Morshedi Rad, D.; Abbaszadegan, M.R. MAML1 Promotes ESCC Aggressiveness through Upregulation of EMT Marker TWIST1. Mol. Biol. Rep. 2020, 47, 2659–2668. [Google Scholar] [CrossRef]
  39. Natsuizaka, M.; Whelan, K.A.; Kagawa, S.; Tanaka, K.; Giroux, V.; Chandramouleeswaran, P.M.; Long, A.; Sahu, V.; Darling, D.S.; Que, J.; et al. Interplay between Notch1 and Notch3 Promotes EMT and Tumor Initiation in Squamous Cell Carcinoma. Nat. Commun. 2017, 8, 1758. [Google Scholar] [CrossRef] [Green Version]
  40. Jung, A.R.; Jung, C.-H.; Noh, J.K.; Lee, Y.C.; Eun, Y.-G. Epithelial-Mesenchymal Transition Gene Signature Is Associated with Prognosis and Tumor Microenvironment in Head and Neck Squamous Cell Carcinoma. Sci. Rep. 2020, 10, 3652. [Google Scholar] [CrossRef]
  41. Wu, S.-G.; Zhang, W.-W.; Sun, J.-Y.; Li, F.-Y.; Lin, Q.; He, Z.-Y. Patterns of Distant Metastasis Between Histological Types in Esophageal Cancer. Front. Oncol. 2018, 8, 302. [Google Scholar] [CrossRef]
  42. Han, P.; Cao, P.; Hu, S.; Kong, K.; Deng, Y.; Zhao, B.; Li, F. Esophageal Microenvironment: From Precursor Microenvironment to Premetastatic Niche. Cancer Manag. Res. 2020, 12, 5857–5879. [Google Scholar] [CrossRef]
  43. Bhat, A.A.; Yousuf, P.; Wani, N.A.; Rizwan, A.; Chauhan, S.S.; Siddiqi, M.A.; Bedognetti, D.; El-Rifai, W.; Frenneaux, M.P.; Batra, S.K.; et al. Tumor Microenvironment: An Evil Nexus Promoting Aggressive Head and Neck Squamous Cell Carcinoma and Avenue for Targeted Therapy. Signal Transduct. Target. Ther. 2021, 6, 12. [Google Scholar] [CrossRef]
  44. Otto, B.; Koenig, A.M.; Tolstonog, G.V.; Jeschke, A.; Klaetschke, K.; Vashist, Y.K.; Wicklein, D.; Wagener, C.; Izbicki, J.R.; Streichert, T. Molecular Changes in Pre-Metastatic Lymph Nodes of Esophageal Cancer Patients. PLoS ONE 2014, 9, e102552. [Google Scholar] [CrossRef]
  45. Werner, J.A.; Dünne, A.A.; Myers, J.N. Functional Anatomy of the Lymphatic Drainage System of the Upper Aerodigestive Tract and Its Role in Metastasis of Squamous Cell Carcinoma. Head Neck 2003, 25, 322–332. [Google Scholar] [CrossRef]
  46. Spoerl, S.; Gerken, M.; Mamilos, A.; Fischer, R.; Wolf, S.; Nieberle, F.; Klingelhöffer, C.; Meier, J.K.; Spoerl, S.; Ettl, T.; et al. Lymph Node Ratio as a Predictor for Outcome in Oral Squamous Cell Carcinoma: A Multicenter Population-Based Cohort Study. Clin. Oral Investig. 2021, 25, 1705–1713. [Google Scholar] [CrossRef]
  47. Pisani, P.; Airoldi, M.; Allais, A.; Aluffi Valletti, P.; Battista, M.; Benazzo, M.; Briatore, R.; Cacciola, S.; Cocuzza, S.; Colombo, A.; et al. Metastatic Disease in Head & Neck Oncology. Acta Otorhinolaryngol. Ital. 2020, 40, S1–S86. [Google Scholar] [CrossRef]
  48. Hasmat, S.; Mooney, C.; Gao, K.; Palme, C.E.; Ebrahimi, A.; Ch’ng, S.; Gupta, R.; Low, T.-H.; Clark, J. Regional Metastasis in Head and Neck Cutaneous Squamous Cell Carcinoma: An Update on the Significance of Extra-Nodal Extension and Soft Tissue Metastasis. Ann. Surg. Oncol. 2020, 27, 2840–2845. [Google Scholar] [CrossRef]
  49. Roy, R.; Kandimalla, R.; Sonohara, F.; Koike, M.; Kodera, Y.; Takahashi, N.; Yamada, Y.; Goel, A. A Comprehensive Methylation Signature Identifies Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma. Int. J. Cancer 2019, 144, 1160–1169. [Google Scholar] [CrossRef]
  50. Hagens, E.R.C.; van Berge Henegouwen, M.I.; Gisbertz, S.S. Distribution of Lymph Node Metastases in Esophageal Carcinoma Patients Undergoing Upfront Surgery: A Systematic Review. Cancers 2020, 12, 1592. [Google Scholar] [CrossRef]
  51. Hagens, E.R.C.; Künzli, H.T.; van Rijswijk, A.-S.; Meijer, S.L.; Mijnals, R.C.D.; Weusten, B.L.A.M.; Geijsen, E.D.; van Laarhoven, H.W.M.; van Berge Henegouwen, M.I.; Gisbertz, S.S. Distribution of Lymph Node Metastases in Esophageal Adenocarcinoma after Neoadjuvant Chemoradiation Therapy: A Prospective Study. Surg. Endosc. 2020, 34, 4347–4357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Castoro, C.; Scarpa, M.; Cagol, M.; Ruol, A.; Cavallin, F.; Alfieri, R.; Zanchettin, G.; Rugge, M.; Ancona, E. Nodal Metastasis From Locally Advanced Esophageal Cancer: How Neoadjuvant Therapy Modifies Their Frequency and Distribution. Ann. Surg. Oncol. 2011, 18, 3743–3754. [Google Scholar] [CrossRef]
  53. Liu, J.C.; Bhayani, M.; Kuchta, K.; Galloway, T.; Fundakowski, C. Patterns of Distant Metastasis in Head and Neck Cancer at Presentation: Implications for Initial Evaluation. Oral Oncol. 2019, 88, 131–136. [Google Scholar] [CrossRef]
  54. Van der Kamp, M.F.; Muntinghe, F.O.W.; Iepsma, R.S.; Plaat, B.E.C.; van der Laan, B.F.A.M.; Algassab, A.; Steenbakkers, R.J.H.M.; Witjes, M.J.H.; van Dijk, B.A.C.; de Bock, G.H.; et al. Predictors for Distant Metastasis in Head and Neck Cancer, with Emphasis on Age. Eur. Arch. Otorhinolaryngol. 2021, 278, 181–190. [Google Scholar] [CrossRef]
  55. Dhull, A.K.; Atri, R.; Dhankhar, R.; Chauhan, A.K.; Kaushal, V. Major Risk Factors in Head and Neck Cancer: A Retrospective Analysis of 12-Year Experiences. World J. Oncol. 2018, 9, 80–84. [Google Scholar] [CrossRef] [Green Version]
  56. Wu, S.-G.; Zhang, W.-W.; He, Z.-Y.; Sun, J.-Y.; Chen, Y.-X.; Guo, L. Sites of Metastasis and Overall Survival in Esophageal Cancer: A Population-Based Study. Cancer Manag. Res. 2017, 9, 781–788. [Google Scholar] [CrossRef] [Green Version]
  57. Imura, Y.; Yamamoto, S.; Wakamatsu, T.; Tanaka, T.; Tamiya, H.; Sugimura, K.; Miyata, H.; Ishihara, R.; Yano, M.; Naka, N. Clinical Features and Prognostic Factors in Patients with Esophageal Cancer with Bone Metastasis. Oncol. Lett. 2020, 19, 717–724. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Deng, J.; Chu, X.; Ren, Z.; Wang, B. Relationship between T Stage and Survival in Distantly Metastatic Esophageal Cancer: A STROBE-Compliant Study. Medicine 2020, 99, e20064. [Google Scholar] [CrossRef]
  59. Cheng, Y.-F.; Chen, H.-S.; Wu, S.-C.; Chen, H.-C.; Hung, W.-H.; Lin, C.-H.; Wang, B.-Y. Esophageal Squamous Cell Carcinoma and Prognosis in Taiwan. Cancer Med. 2018, 7, 4193–4201. [Google Scholar] [CrossRef]
  60. Guo, J.; Zhang, S.; Li, H.; Hassan, M.O.O.; Lu, T.; Zhao, J.; Zhang, L. Lung Metastases in Newly Diagnosed Esophageal Cancer: A Population-Based Study. Front. Oncol. 2021, 11, 603953. [Google Scholar] [CrossRef] [PubMed]
  61. Ai, D.; Zhu, H.; Ren, W.; Chen, Y.; Liu, Q.; Deng, J.; Ye, J.; Fan, J.; Zhao, K. Patterns of Distant Organ Metastases in Esophageal Cancer: A Population-Based Study. J. Thorac. Dis. 2017, 9, 3023–3030. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Shaheen, O.; Ghibour, A.; Alsaid, B. Esophageal Cancer Metastases to Unexpected Sites: A Systematic Review. Gastroenterol. Res. Pract. 2017, 2017, 1657310. [Google Scholar] [CrossRef] [Green Version]
  63. Takes, R.P.; Rinaldo, A.; Silver, C.E.; Haigentz, M.J.; Woolgar, J.A.; Triantafyllou, A.; Mondin, V.; Paccagnella, D.; de Bree, R.; Shaha, A.R.; et al. Distant Metastases from Head and Neck Squamous Cell Carcinoma. Part I. Basic Aspects. Oral Oncol. 2012, 48, 775–779. [Google Scholar] [CrossRef]
  64. Winkler, J.; Abisoye-Ogunniyan, A.; Metcalf, K.J.; Werb, Z. Concepts of Extracellular Matrix Remodelling in Tumour Progression and Metastasis. Nat. Commun. 2020, 11, 5120. [Google Scholar] [CrossRef]
  65. Capuano, A.; Pivetta, E.; Sartori, G.; Bosisio, G.; Favero, A.; Cover, E.; Andreuzzi, E.; Colombatti, A.; Cannizzaro, R.; Scanziani, E.; et al. Abrogation of EMILIN1-β1 Integrin Interaction Promotes Experimental Colitis and Colon Carcinogenesis. Matrix Biol 2019, 83, 97–115. [Google Scholar] [CrossRef]
  66. Pickup, M.W.; Mouw, J.K.; Weaver, V.M. The Extracellular Matrix Modulates the Hallmarks of Cancer. EMBO Rep. 2014, 15, 1243–1253. [Google Scholar] [CrossRef] [Green Version]
  67. Andreuzzi, E.; Fejza, A.; Capuano, A.; Poletto, E.; Pivetta, E.; Doliana, R.; Pellicani, R.; Favero, A.; Maiero, S.; Fornasarig, M.; et al. Deregulated Expression of Elastin Microfibril Interfacer 2 (EMILIN2) in Gastric Cancer Affects Tumor Growth and Angiogenesis. Matrix Biol. Plus 2020, 6–7, 100029. [Google Scholar] [CrossRef]
  68. Ziober, A.F.; Falls, E.M.; Ziober, B.L. The Extracellular Matrix in Oral Squamous Cell Carcinoma: Friend or Foe? Head Neck 2006, 28, 740–749. [Google Scholar] [CrossRef]
  69. Tanis, T.; Cincin, Z.B.; Gokcen-Rohlig, B.; Bireller, E.S.; Ulusan, M.; Tanyel, C.R.; Cakmakoglu, B. The Role of Components of the Extracellular Matrix and Inflammation on Oral Squamous Cell Carcinoma Metastasis. Arch. Oral Biol. 2014, 59, 1155–1163. [Google Scholar] [CrossRef]
  70. Desgrosellier, J.S.; Cheresh, D.A. Integrins in Cancer: Biological Implications and Therapeutic Opportunities. Nat. Rev. Cancer 2010, 10, 9–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Hynes, R.O. Integrins: Bidirectional, Allosteric Signaling Machines. Cell 2002, 110, 673–687. [Google Scholar] [CrossRef] [Green Version]
  72. Hamidi, H.; Pietilä, M.; Ivaska, J. The Complexity of Integrins in Cancer and New Scopes for Therapeutic Targeting. Br. J. Cancer 2016, 115, 1017–1023. [Google Scholar] [CrossRef] [Green Version]
  73. Cooper, J.; Giancotti, F.G. Integrin Signaling in Cancer: Mechanotransduction, Stemness, Epithelial Plasticity, and Therapeutic Resistance. Cancer Cell 2019, 35, 347–367. [Google Scholar] [CrossRef]
  74. Janes, S.M.; Watt, F.M. New Roles for Integrins in Squamous-Cell Carcinoma. Nat. Rev. Cancer 2006, 6, 175–183. [Google Scholar] [CrossRef]
  75. Fan, Q.-C.; Tian, H.; Wang, Y.; Liu, X.-B. Integrin-A5 Promoted the Progression of Oral Squamous Cell Carcinoma and Modulated PI3K/AKT Signaling Pathway. Arch. Oral Biol. 2019, 101, 85–91. [Google Scholar] [CrossRef]
  76. Vay, C.; Hosch, S.B.; Stoecklein, N.H.; Klein, C.A.; Vallböhmer, D.; Link, B.-C.; Yekebas, E.F.; Izbicki, J.R.; Knoefel, W.T.; Scheunemann, P. Integrin Expression in Esophageal Squamous Cell Carcinoma: Loss of the Physiological Integrin Expression Pattern Correlates with Disease Progression. PLoS ONE 2014, 9, e109026. [Google Scholar] [CrossRef] [Green Version]
  77. Xie, J.-J.; Guo, J.-C.; Wu, Z.-Y.; Xu, X.-E.; Wu, J.-Y.; Chen, B.; Ran, L.-Q.; Liao, L.-D.; Li, E.-M.; Xu, L.-Y. Integrin A5 Promotes Tumor Progression and Is an Independent Unfavorable Prognostic Factor in Esophageal Squamous Cell Carcinoma. Hum. Pathol. 2016, 48, 69–75. [Google Scholar] [CrossRef]
  78. Fennewald, S.M.; Kantara, C.; Sastry, S.K.; Resto, V.A. Laminin Interactions with Head and Neck Cancer Cells under Low Fluid Shear Conditions Lead to Integrin Activation and Binding. J. Biol. Chem. 2012, 287, 21058–21066. [Google Scholar] [CrossRef] [Green Version]
  79. Christiansen, A.; Detmar, M. Lymphangiogenesis and Cancer. Genes Cancer 2011, 2, 1146–1158. [Google Scholar] [CrossRef] [Green Version]
  80. Carmeliet, P.; Jain, R.K. Molecular Mechanisms and Clinical Applications of Angiogenesis. Nature 2011, 473, 298–307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  81. Franchi, A.; Gallo, O.; Massi, D.; Baroni, G.; Santucci, M. Tumor Lymphangiogenesis in Head and Neck Squamous Cell Carcinoma: A Morphometric Study with Clinical Correlations. Cancer 2004, 101, 973–978. [Google Scholar] [CrossRef]
  82. Kumagai, Y.; Tachikawa, T.; Higashi, M.; Sobajima, J.; Takahashi, A.; Amano, K.; Fukuchi, M.; Ishibashi, K.; Mochiki, E.; Yakabi, K.; et al. Vascular Endothelial Growth Factors C and D and Lymphangiogenesis at the Early Stage of Esophageal Squamous Cell Carcinoma Progression. Dis. Esophagus 2018, 31. [Google Scholar] [CrossRef]
  83. Künnapuu, J.; Bokharaie, H.; Jeltsch, M. Proteolytic Cleavages in the VEGF Family: Generating Diversity among Angiogenic VEGFs, Essential for the Activation of Lymphangiogenic VEGFs. Biology 2021, 10, 167. [Google Scholar] [CrossRef]
  84. Karatzanis, A.D.; Koudounarakis, E.; Papadakis, I.; Velegrakis, G. Molecular Pathways of Lymphangiogenesis and Lymph Node Metastasis in Head and Neck Cancer. Eur. Arch. Otorhinolaryngol. 2012, 269, 731–737. [Google Scholar] [CrossRef]
  85. Carmeliet, P. VEGF as a Key Mediator of Angiogenesis in Cancer. Oncology 2005, 69 (Suppl. S3), 4–10. [Google Scholar] [CrossRef]
  86. Ladeira, K.; Macedo, F.; Longatto-Filho, A.; Martins, S.F. Angiogenic Factors: Role in Esophageal Cancer, a Brief Review. Esophagus 2018, 15, 53–58. [Google Scholar] [CrossRef] [Green Version]
  87. Senthebane, D.A.; Jonker, T.; Rowe, A.; Thomford, N.E.; Munro, D.; Dandara, C.; Wonkam, A.; Govender, D.; Calder, B.; Soares, N.C.; et al. The Role of Tumor Microenvironment in Chemoresistance: 3D Extracellular Matrices as Accomplices. Int. J. Mol. Sci. 2018, 19, 2861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  88. Cully, M. Tumour Vessel Normalization Takes Centre Stage. Nat. Rev. Drug Discov. 2017, 16, 87. [Google Scholar] [CrossRef] [PubMed]
  89. Pellicani, R.; Poletto, E.; Andreuzzi, E.; Paulitti, A.; Doliana, R.; Bizzotto, D.; Braghetta, P.; Colladel, R.; Tarticchio, G.; Sabatelli, P.; et al. Multimerin-2 Maintains Vascular Stability and Permeability. Matrix Biol. 2020, 87, 11–25. [Google Scholar] [CrossRef] [PubMed]
  90. Paulitti, A.; Andreuzzi, E.; Bizzotto, D.; Pellicani, R.; Tarticchio, G.; Marastoni, S.; Pastrello, C.; Jurisica, I.; Ligresti, G.; Bucciotti, F.; et al. The Ablation of the Matricellular Protein EMILIN2 Causes Defective Vascularization Due to Impaired EGFR-Dependent IL-8 Production Affecting Tumor Growth. Oncogene 2018, 3399–3414. [Google Scholar] [CrossRef]
  91. Hou, S.; Jin, W.; Xiao, W.; Deng, B.; Wu, D.; Zhi, J.; Wu, K.; Cao, X.; Chen, S.; Ding, Y.; et al. Integrin A5 Promotes Migration and Cisplatin Resistance in Esophageal Squamous Cell Carcinoma Cells. Am. J. Cancer Res. 2019, 9, 2774–2788. [Google Scholar] [PubMed]
  92. Zou, B.; Wang, D.; Xu, K.; Yuan, D.-Y.; Meng, Z.; Zhang, B. Integrin α-5 as a Potential Biomarker of Head and Neck Squamous Cell Carcinoma. Oncol. Lett. 2019, 18, 4048–4055. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Chang, J.; Chaudhuri, O. Beyond Proteases: Basement Membrane Mechanics and Cancer Invasion. J. Cell Biol. 2019, 218, 2456–2469. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Engbring, J.A.; Kleinman, H.K. The Basement Membrane Matrix in Malignancy. J. Pathol. 2003, 200, 465–470. [Google Scholar] [CrossRef]
  95. Yamauchi, M.; Gibbons, D.L.; Zong, C.; Fradette, J.J.; Bota-Rabassedas, N.; Kurie, J.M. Fibroblast Heterogeneity and Its Impact on Extracellular Matrix and Immune Landscape Remodeling in Cancer. Fibroblasts Arbiters Matrix Remodel. 2020, 91–92, 8–18. [Google Scholar] [CrossRef]
  96. Jang, I.; Beningo, K.A. Integrins, CAFs and Mechanical Forces in the Progression of Cancer. Cancers 2019, 11, 721. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Miller, R.T. Mechanical Properties of Basement Membrane in Health and Disease. Basement Membr. Health Dis. 2017, 57–58, 366–373. [Google Scholar] [CrossRef] [PubMed]
  98. Grasset, E.M.; Bertero, T.; Bozec, A.; Friard, J.; Bourget, I.; Pisano, S.; Lecacheur, M.; Maiel, M.; Bailleux, C.; Emelyanov, A.; et al. Matrix Stiffening and EGFR Cooperate to Promote the Collective Invasion of Cancer Cells. Cancer Res. 2018, 78, 5229. [Google Scholar] [CrossRef] [Green Version]
  99. Nissen, N.I.; Karsdal, M.; Willumsen, N. Collagens and Cancer Associated Fibroblasts in the Reactive Stroma and Its Relation to Cancer Biology. J. Exp. Clin. Cancer Res. 2019, 38, 115. [Google Scholar] [CrossRef] [Green Version]
  100. Shay, G.; Lynch, C.C.; Fingleton, B. Moving Targets: Emerging Roles for MMPs in Cancer Progression and Metastasis. Matrix Biol. 2015, 44–46, 200–206. [Google Scholar] [CrossRef]
  101. Fang, S.; Dai, Y.; Mei, Y.; Yang, M.; Hu, L.; Yang, H.; Guan, X.; Li, J. Clinical Significance and Biological Role of Cancer-Derived Type I Collagen in Lung and Esophageal Cancers. Thorac. Cancer 2019, 10, 277–288. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Li, J.; Wang, X.; Zheng, K.; Liu, Y.; Li, J.; Wang, S.; Liu, K.; Song, X.; Li, N.; Xie, S.; et al. The Clinical Significance of Collagen Family Gene Expression in Esophageal Squamous Cell Carcinoma. PeerJ 2019, 7, e7705. [Google Scholar] [CrossRef] [PubMed]
  103. Prime, S.S.; Cirillo, N.; Hassona, Y.; Lambert, D.W.; Paterson, I.C.; Mellone, M.; Thomas, G.J.; James, E.N.L.; Parkinson, E.K. Fibroblast Activation and Senescence in Oral Cancer. J. Oral Pathol. Med. 2017, 46, 82–88. [Google Scholar] [CrossRef]
  104. Shoucair, I.; Weber Mello, F.; Jabalee, J.; Maleki, S.; Garnis, C. The Role of Cancer-Associated Fibroblasts and Extracellular Vesicles in Tumorigenesis. Int. J. Mol. Sci. 2020, 21, 6837. [Google Scholar] [CrossRef]
  105. Dourado, M.R.; Guerra, E.N.S.; Salo, T.; Lambert, D.W.; Coletta, R.D. Prognostic Value of the Immunohistochemical Detection of Cancer-Associated Fibroblasts in Oral Cancer: A Systematic Review and Meta-Analysis. J. Oral Pathol. Med. 2018, 47, 443–453. [Google Scholar] [CrossRef] [Green Version]
  106. Kang, S.H.; Oh, S.Y.; Lee, H.-J.; Kwon, T.-G.; Kim, J.-W.; Lee, S.-T.; Choi, S.-Y.; Hong, S.-H. Cancer-Associated Fibroblast Subgroups Showing Differential Promoting Effect on HNSCC Progression. Cancers 2021, 13, 654. [Google Scholar] [CrossRef] [PubMed]
  107. Li, G.; Jiang, W.; Kang, Y.; Yu, X.; Zhang, C.; Feng, Y. High Expression of Collagen 1A2 Promotes the Proliferation and Metastasis of Esophageal Cancer Cells. Ann. Transl. Med. 2020, 8, 1672. [Google Scholar] [CrossRef]
  108. Hayashido, Y.; Kitano, H.; Sakaue, T.; Fujii, T.; Suematsu, M.; Sakurai, S.; Okamoto, T. Overexpression of Integrin Av Facilitates Proliferation and Invasion of Oral Squamous Cell Carcinoma Cells via Mek/Erk Signaling Pathway That Is Activated by Interaction of Integrin Avβ8 with TypeⅠCollagen. Int. J. Oncol. 2014, 45, 1875–1882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  109. Lai, S.L.; Tan, M.L.; Hollows, R.J.; Robinson, M.; Ibrahim, M.; Margielewska, S.; Parkinson, E.K.; Ramanathan, A.; Zain, R.B.; Mehanna, H.; et al. Collagen Induces a More Proliferative, Migratory and Chemoresistant Phenotype in Head and Neck Cancer via DDR1. Cancers 2019, 11, 1766. [Google Scholar] [CrossRef] [Green Version]
  110. Valiathan, R.R.; Marco, M.; Leitinger, B.; Kleer, C.G.; Fridman, R. Discoidin Domain Receptor Tyrosine Kinases: New Players in Cancer Progression. Cancer Metastasis Rev. 2012, 31, 295–321. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  111. Sok, J.C.; Lee, J.A.; Dasari, S.; Joyce, S.; Contrucci, S.C.; Egloff, A.M.; Trevelline, B.K.; Joshi, R.; Kumari, N.; Grandis, J.R.; et al. Collagen Type XI A1 Facilitates Head and Neck Squamous Cell Cancer Growth and Invasion. Br. J. Cancer 2013, 109, 3049–3056. [Google Scholar] [CrossRef] [Green Version]
  112. Schmalbach, C.E.; Chepeha, D.B.; Giordano, T.J.; Rubin, M.A.; Teknos, T.N.; Bradford, C.R.; Wolf, G.T.; Kuick, R.; Misek, D.E.; Trask, D.K.; et al. Molecular Profiling and the Identification of Genes Associated with Metastatic Oral Cavity/Pharynx Squamous Cell Carcinoma. Arch. Otolaryngol. Head Neck Surg. 2004, 130, 295–302. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Kaplan, R.N.; Riba, R.D.; Zacharoulis, S.; Bramley, A.H.; Vincent, L.; Costa, C.; MacDonald, D.D.; Jin, D.K.; Shido, K.; Kerns, S.A.; et al. VEGFR1-Positive Haematopoietic Bone Marrow Progenitors Initiate the Pre-Metastatic Niche. Nature 2005, 438, 820–827. [Google Scholar] [CrossRef] [PubMed]
  114. Xiao, J.; Yang, W.; Xu, B.; Zhu, H.; Zou, J.; Su, C.; Rong, J.; Wang, T.; Chen, Z. Expression of Fibronectin in Esophageal Squamous Cell Carcinoma and Its Role in Migration. BMC Cancer 2018, 18, 976. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Gopal, S.; Veracini, L.; Grall, D.; Butori, C.; Schaub, S.; Audebert, S.; Camoin, L.; Baudelet, E.; Radwanska, A.; Beghelli-de la Forest Divonne, S.; et al. Fibronectin-Guided Migration of Carcinoma Collectives. Nat. Commun. 2017, 8, 14105. [Google Scholar] [CrossRef] [PubMed]
  116. Jerhammar, F.; Ceder, R.; Garvin, S.; Grénman, R.; Grafström, R.C.; Roberg, K. Fibronectin 1 Is a Potential Biomarker for Radioresistance in Head and Neck Squamous Cell Carcinoma. Cancer Biol. Ther. 2010, 10, 1244–1251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Pang, X.; Tang, Y.-L.; Liang, X.-H. Transforming Growth Factor-β Signaling in Head and Neck Squamous Cell Carcinoma: Insights into Cellular Responses. Oncol. Lett. 2018, 16, 4799–4806. [Google Scholar] [CrossRef] [Green Version]
  118. Ramos, G.d.O.; Bernardi, L.; Lauxen, I.; Sant’Ana Filho, M.; Horwitz, A.R.; Lamers, M.L. Fibronectin Modulates Cell Adhesion and Signaling to Promote Single Cell Migration of Highly Invasive Oral Squamous Cell Carcinoma. PLoS ONE 2016, 11, e0151338. [Google Scholar] [CrossRef] [Green Version]
  119. Marinkovich, M.P. Laminin 332 in Squamous-Cell Carcinoma. Nat. Rev. Cancer 2007, 7, 370–380. [Google Scholar] [CrossRef]
  120. Baba, Y.; Iyama, K.; Hirashima, K.; Nagai, Y.; Yoshida, N.; Hayashi, N.; Miyanari, N.; Baba, H. Laminin-332 Promotes the Invasion of Oesophageal Squamous Cell Carcinoma via PI3K Activation. Br. J. Cancer 2008, 98, 974–980. [Google Scholar] [CrossRef] [Green Version]
  121. Marangon Junior, H.; Rocha, V.N.; Leite, C.F.; de Aguiar, M.C.F.; Souza, P.E.A.; Horta, M.C.R. Laminin-5 Gamma 2 Chain Expression Is Associated with Intensity of Tumor Budding and Density of Stromal Myofibroblasts in Oral Squamous Cell Carcinoma. J. Oral Pathol. Med. 2014, 43, 199–204. [Google Scholar] [CrossRef] [PubMed]
  122. Pattaramalai, S.; Skubitz, A.P.N. Promotion of Human Oral Squamous Cell Carcinoma Adhesion in Vitro by the Carboxy-Terminal Globular Domain of Laminin. Arch. Oral Biol. 1994, 39, 925–933. [Google Scholar] [CrossRef]
  123. Kinoshita, T.; Nohata, N.; Hanazawa, T.; Kikkawa, N.; Yamamoto, N.; Yoshino, H.; Itesako, T.; Enokida, H.; Nakagawa, M.; Okamoto, Y.; et al. Tumour-Suppressive MicroRNA-29s Inhibit Cancer Cell Migration and Invasion by Targeting Laminin–Integrin Signalling in Head and Neck Squamous Cell Carcinoma. Br. J. Cancer 2013, 109, 2636–2645. [Google Scholar] [CrossRef] [Green Version]
  124. Ramos, D.M.; Chen, B.; Regezi, J.; Zardi, L.; Pytela, R. Tenascin-C Matrix Assembly in Oral Squamous Cell Carcinoma. Int. J. Cancer 1998, 75, 680–687. [Google Scholar] [CrossRef]
  125. Sundquist, E.; Kauppila, J.H.; Veijola, J.; Mroueh, R.; Lehenkari, P.; Laitinen, S.; Risteli, J.; Soini, Y.; Kosma, V.-M.; Sawazaki-Calone, I.; et al. Tenascin-C and Fibronectin Expression Divide Early Stage Tongue Cancer into Low- and High-Risk Groups. Br. J. Cancer 2017, 116, 640–648. [Google Scholar] [CrossRef] [Green Version]
  126. Yang, Z.-T.; Yeo, S.-Y.; Yin, Y.-X.; Lin, Z.-H.; Lee, H.-M.; Xuan, Y.-H.; Cui, Y.; Kim, S.-H. Tenascin-C, a Prognostic Determinant of Esophageal Squamous Cell Carcinoma. PLoS ONE 2016, 11, e0145807. [Google Scholar] [CrossRef] [PubMed]
  127. Berndt, A.; Borsi, L.; Hyckel, P.; Kosmehl, H. Fibrillary Co-Deposition of Laminin-5 and Large Unspliced Tenascin-C in the Invasive Front of Oral Squamous Cell Carcinoma in Vivo and in Vitro. J. Cancer Res. Clin. Oncol. 2001, 127, 286–292. [Google Scholar] [CrossRef]
  128. Yang, Z.; Zhang, C.; Feng, Y.; Qi, W.; Cui, Y.; Xuan, Y. Tenascin-C Is Involved in Promotion of Cancer Stemness via the Akt/HIF1ɑ Axis in Esophageal Squamous Cell Carcinoma. Exp. Mol. Pathol. 2019, 109, 104239. [Google Scholar] [CrossRef]
  129. Spenlé, C.; Loustau, T.; Murdamoothoo, D.; Erne, W.; Beghelli-de la Forest Divonne, S.; Veber, R.; Petti, L.; Bourdely, P.; Mörgelin, M.; Brauchle, E.-M.; et al. Tenascin-C Orchestrates an Immune-Suppressive Tumor Microenvironment in Oral Squamous Cell Carcinoma. Cancer Immunol. Res. 2020, 8, 1122. [Google Scholar] [CrossRef] [PubMed]
  130. Pauli, C.; Stieber, P.; Schmitt, U.M.; Andratschke, M.; Hoffmann, K.; Wollenberg, B. The Significance of Tenascin-C Serum Level as Tumor Marker in Squamous Cell Carcinoma of the Head and Neck. Anticancer Res. 2002, 22, 3093–3097. [Google Scholar]
  131. Chin, D.; Boyle, G.M.; Williams, R.M.; Ferguson, K.; Pandeya, N.; Pedley, J.; Campbell, C.M.; Theile, D.R.; Parsons, P.G.; Coman, W.B. Novel Markers for Poor Prognosis in Head and Neck Cancer. Int. J. Cancer 2005, 113, 789–797. [Google Scholar] [CrossRef]
  132. Che, Y.; Luo, A.; Wang, H.; Qi, J.; Guo, J.; Liu, Z. The Differential Expression of SPARC in Esophageal Squamous Cell Carcinoma. Int. J. Mol. Med. 2006, 17, 1027–1033. [Google Scholar] [CrossRef] [Green Version]
  133. He, Q.; Wei, J.; Zhang, J.; Jiang, H.; Wang, S.; Zhou, X.; Zhang, Z.; Huang, G.; Watanabe, H.; Su, J. Aberrant Methylation of Secreted Protein, Acidic and Rich in Cysteine in Human Laryngeal and Hypopharyngeal Carcinoma. Oncol. Lett. 2011, 2, 725–729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Chen, Y.; Zhang, Y.; Tan, Y.; Liu, Z. Clinical Significance of SPARC in Esophageal Squamous Cell Carcinoma. Biochem. Biophys. Res. Commun. 2017, 492, 184–191. [Google Scholar] [CrossRef] [PubMed]
  135. Hasegawa, M.; Cheng, J.; Maruyama, S.; Yamazaki, M.; Abé, T.; Babkair, H.; Saito, C.; Saku, T. Differential Immunohistochemical Expression Profiles of Perlecan-Binding Growth Factors in Epithelial Dysplasia, Carcinoma in Situ, and Squamous Cell Carcinoma of the Oral Mucosa. Pathol. Res. Pract. 2016, 212, 426–436. [Google Scholar] [CrossRef] [PubMed]
  136. Macabeo-Ong, M.; Shiboski, C.H.; Silverman, S.; Ginzinger, D.G.; Dekker, N.; Wong, D.T.W.; Jordan, R.C.K. Quantitative Analysis of Cathepsin L MRNA and Protein Expression during Oral Cancer Progression. Oral Oncol. 2003, 39, 638–647. [Google Scholar] [CrossRef]
  137. Chakraborty, S.; Lakshmanan, M.; Swa, H.L.F.; Chen, J.; Zhang, X.; Ong, Y.S.; Loo, L.S.; Akıncılar, S.C.; Gunaratne, J.; Tergaonkar, V.; et al. An Oncogenic Role of Agrin in Regulating Focal Adhesion Integrity in Hepatocellular Carcinoma. Nat. Commun. 2015, 6, 6184. [Google Scholar] [CrossRef] [PubMed]
  138. Neill, T.; Schaefer, L.; Iozzo, R.V. Decoding the Matrix: Instructive Roles of Proteoglycan Receptors. Biochemistry 2015, 54, 4583–4598. [Google Scholar] [CrossRef] [Green Version]
  139. Scherbakov, N.; Knops, M.; Ebner, N.; Valentova, M.; Sandek, A.; Grittner, U.; Dahinden, P.; Hettwer, S.; Schefold, J.C.; von Haehling, S.; et al. Evaluation of C-Terminal Agrin Fragment as a Marker of Muscle Wasting in Patients after Acute Stroke during Early Rehabilitation. J. Cachexia Sarcopenia Muscle 2016, 7, 60–67. [Google Scholar] [CrossRef] [Green Version]
  140. Yu, D.; Li, H.-X.; Liu, Y.; Ying, Z.-W.; Guo, J.-J.; Cao, C.-Y.; Wang, J.; Li, Y.-F.; Yang, H.-R. The Reference Intervals for Serum C-Terminal Agrin Fragment in Healthy Individuals and as a Biomarker for Renal Function in Kidney Transplant Recipients. J. Clin. Lab. Anal. 2017, 31, e22059. [Google Scholar] [CrossRef]
  141. Klein-Scory, S.; Kübler, S.; Diehl, H.; Eilert-Micus, C.; Reinacher-Schick, A.; Stühler, K.; Warscheid, B.; Meyer, H.E.; Schmiegel, W.; Schwarte-Waldhoff, I. Immunoscreening of the Extracellular Proteome of Colorectal Cancer Cells. BMC Cancer 2010, 10, 70. [Google Scholar] [CrossRef] [Green Version]
  142. Twarock, S.; Freudenberger, T.; Poscher, E.; Dai, G.; Jannasch, K.; Dullin, C.; Alves, F.; Prenzel, K.; Knoefel, W.T.; Stoecklein, N.H.; et al. Inhibition of Oesophageal Squamous Cell Carcinoma Progression by in Vivo Targeting of Hyaluronan Synthesis. Mol. Cancer 2011, 10, 30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  143. Twarock, S.; Tammi, M.I.; Savani, R.C.; Fischer, J.W. Hyaluronan Stabilizes Focal Adhesions, Filopodia, and the Proliferative Phenotype in Esophageal Squamous Carcinoma Cells. J. Biol. Chem. 2010, 285, 23276–23284. [Google Scholar] [CrossRef] [Green Version]
  144. Lu, T.; Zheng, Y.; Gong, X.; Lv, Q.; Chen, J.; Tu, Z.; Lin, S.; Pan, J.; Guo, Q.; Li, J. High Expression of Hyaluronan-Mediated Motility Receptor Predicts Adverse Outcomes: A Potential Therapeutic Target for Head and Neck Squamous Cell Carcinoma. Front. Oncol. 2021, 11, 499. [Google Scholar] [CrossRef] [PubMed]
  145. Shiina, M.; Bourguignon, L.Y.W. Selective Activation of Cancer Stem Cells by Size-Specific Hyaluronan in Head and Neck Cancer. Int. J. Cell Biol. 2015, 2015, 989070. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Franzmann, E.J.; Schroeder, G.L.; Goodwin, W.J.; Weed, D.T.; Fisher, P.; Lokeshwar, V.B. Expression of Tumor Markers Hyaluronic Acid and Hyaluronidase (HYAL1) in Head and Neck Tumors. Int. J. Cancer 2003, 106, 438–445. [Google Scholar] [CrossRef] [PubMed]
  147. Godin, D.A.; Fitzpatrick, P.C.; Scandurro, A.B.; Belafsky, P.C.; Woodworth, B.A.; Amedee, R.G.; Beech, D.J.; Beckman, B.S. PH-20: A Novel Tumor Marker for Laryngeal Cancer. Arch. Otolaryngol. Neck Surg. 2000, 126, 402–404. [Google Scholar] [CrossRef] [Green Version]
  148. Bourguignon, L.Y.W.; Earle, C.; Wong, G.; Spevak, C.C.; Krueger, K. Stem Cell Marker (Nanog) and Stat-3 Signaling Promote MicroRNA-21 Expression and Chemoresistance in Hyaluronan/CD44-Activated Head and Neck Squamous Cell Carcinoma Cells. Oncogene 2012, 31, 149–160. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Bourguignon, L.Y.W.; Wong, G.; Earle, C.; Chen, L. Hyaluronan-CD44v3 Interaction with Oct4-Sox2-Nanog Promotes MiR-302 Expression Leading to Self-Renewal, Clonal Formation, and Cisplatin Resistance in Cancer Stem Cells from Head and Neck Squamous Cell Carcinoma. J. Biol. Chem. 2012, 287, 32800–32824. [Google Scholar] [CrossRef] [Green Version]
  150. Wang, S.J.; Bourguignon, L.Y.W. Hyaluronan and the Interaction Between CD44 and Epidermal Growth Factor Receptor in Oncogenic Signaling and Chemotherapy Resistance in Head and Neck Cancer. Arch. Otolaryngol. Neck Surg. 2006, 132, 771–778. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  151. Thomas, S.M.; Coppelli, F.M.; Wells, A.; Gooding, W.E.; Song, J.; Kassis, J.; Drenning, S.D.; Grandis, J.R. Epidermal Growth Factor Receptor-Stimulated Activation of Phospholipase Cγ-1 Promotes Invasion of Head and Neck Squamous Cell Carcinoma. Cancer Res. 2003, 63, 5629. [Google Scholar]
  152. Kadler, K.E.; Baldock, C.; Bella, J.; Boot-Handford, R.P. Collagens at a Glance. J. Cell Sci. 2007, 120, 1955. [Google Scholar] [CrossRef] [Green Version]
  153. He, Y.; Liu, J.; Zhao, Z.; Zhao, H. Bioinformatics Analysis of Gene Expression Profiles of Esophageal Squamous Cell Carcinoma. Dis. Esophagus 2017, 30, 1–8. [Google Scholar] [CrossRef] [PubMed]
  154. Palmieri, D.; Astigiano, S.; Barbieri, O.; Ferrari, N.; Marchisio, S.; Ulivi, V.; Volta, C.; Manduca, P. Procollagen I COOH-Terminal Fragment Induces VEGF-A and CXCR4 Expression in Breast Carcinoma Cells. Exp. Cell Res. 2008, 314, 2289–2298. [Google Scholar] [CrossRef] [PubMed]
  155. O’Reilly, M.S.; Boehm, T.; Shing, Y.; Fukai, N.; Vasios, G.; Lane, W.S.; Flynn, E.; Birkhead, J.R.; Olsen, B.R.; Folkman, J. Endostatin: An Endogenous Inhibitor of Angiogenesis and Tumor Growth. Cell 1997, 88, 277–285. [Google Scholar] [CrossRef] [Green Version]
  156. Zhu, H.; Yang, X.; Ding, Y.; Liu, J.; Lu, J.; Zhan, L.; Qin, Q.; Zhang, H.; Chen, X.; Yang, Y.; et al. Recombinant Human Endostatin Enhances the Radioresponse in Esophageal Squamous Cell Carcinoma by Normalizing Tumor Vasculature and Reducing Hypoxia. Sci. Rep. 2015, 5, 14503. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Li, M.; Ye, C.; Feng, C.; Riedel, F.; Liu, X.; Zeng, Q.; Grandis, J.R. Enhanced Antiangiogenic Therapy of Squamous Cell Carcinoma by Combined Endostatin and Epidermal Growth Factor Receptor-Antisense Therapy. Clin. Cancer Res. 2002, 8, 3570. [Google Scholar] [PubMed]
  158. Xie, R.; Wang, X.; Qi, G.; Wu, Z.; Wei, R.; Li, P.; Zhang, D. DDR1 Enhances Invasion and Metastasis of Gastric Cancer via Epithelial-Mesenchymal Transition. Tumour Biol. 2016, 37, 12049–12059. [Google Scholar] [CrossRef]
  159. Wierzbicka-Patynowski, I.; Schwarzbauer, J.E. The Ins and Outs of Fibronectin Matrix Assembly. J. Cell Sci. 2003, 116, 3269. [Google Scholar] [CrossRef] [Green Version]
  160. Miron-Mendoza, M.; Graham, E.; Manohar, S.; Petroll, W.M. Fibroblast-Fibronectin Patterning and Network Formation in 3D Fibrin Matrices. Matrix Biol. 2017, 64, 69–80. [Google Scholar] [CrossRef]
  161. Zollinger, A.J.; Smith, M.L. Fibronectin, the Extracellular Glue. Matrix Biol. 2017, 60–61, 27–37. [Google Scholar] [CrossRef]
  162. Rybak, J.-N.; Roesli, C.; Kaspar, M.; Villa, A.; Neri, D. The Extra-Domain A of Fibronectin Is a Vascular Marker of Solid Tumors and Metastases. Cancer Res. 2007, 67, 10948. [Google Scholar] [CrossRef] [Green Version]
  163. Hohenester, E.; Yurchenco, P.D. Laminins in Basement Membrane Assembly. Cell Adhes. Migr. 2013, 7, 56–63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Michopoulou, A.; Montmasson, M.; Garnier, C.; Lambert, E.; Dayan, G.; Rousselle, P. A Novel Mechanism in Wound Healing: Laminin 332 Drives MMP9/14 Activity by Recruiting Syndecan-1 and CD44. Matrix Biol. 2020, 94, 1–17. [Google Scholar] [CrossRef] [PubMed]
  165. Patel, V.; Aldridge, K.; Ensley, J.F.; Odell, E.; Boyd, A.; Jones, J.; Gutkind, J.S.; Yeudall, W.A. Laminin-Γ2 Overexpression in Head-and-Neck Squamous Cell Carcinoma. Int. J. Cancer 2002, 99, 583–588. [Google Scholar] [CrossRef] [PubMed]
  166. Yellapurkar, S.; Natarajan, S.; Boaz, K.; Manaktala, N.; Baliga, M.; Shetty, P.; Prasad, M.; Ravi, M. Expression of Laminin in Oral Squamous Cell Carcinomas. APJCP 2018, 19, 407–413. [Google Scholar] [CrossRef] [PubMed]
  167. Cavaco, A.C.M.; Rezaei, M.; Caliandro, M.F.; Lima, A.M.; Stehling, M.; Dhayat, S.A.; Haier, J.; Brakebusch, C.; Eble, J.A. The Interaction between Laminin-332 and A3β1 Integrin Determines Differentiation and Maintenance of CAFs, and Supports Invasion of Pancreatic Duct Adenocarcinoma Cells. Cancers 2018, 11, 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Midwood, K.S.; Chiquet, M.; Tucker, R.P.; Orend, G. Tenascin-C at a Glance. J. Cell Sci. 2016, 129, 4321. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  169. Piccinini, A.M.; Midwood, K.S. Endogenous Control of Immunity against Infection: Tenascin-C Regulates TLR4-Mediated Inflammation via MicroRNA-155. Cell Rep. 2012, 2, 914–926. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  170. Lowy, C.M.; Oskarsson, T. Tenascin C in Metastasis: A View from the Invasive Front. Cell Adhes. Migr. 2015, 9, 112–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  171. Midwood, K.S.; Hussenet, T.; Langlois, B.; Orend, G. Advances in Tenascin-C Biology. Cell. Mol. Life Sci. 2011, 68, 3175. [Google Scholar] [CrossRef] [Green Version]
  172. Orend, G.; Chiquet-Ehrismann, R. Tenascin-C Induced Signaling in Cancer. Cancer Lett. 2006, 244, 143–163. [Google Scholar] [CrossRef] [PubMed]
  173. Nagaraju, G.P.; Dontula, R.; El-Rayes, B.F.; Lakka, S.S. Molecular Mechanisms Underlying the Divergent Roles of SPARC in Human Carcinogenesis. Carcinogenesis 2014, 35, 967–973. [Google Scholar] [CrossRef] [PubMed]
  174. Sato, N.; Fukushima, N.; Maehara, N.; Matsubayashi, H.; Koopmann, J.; Su, G.H.; Hruban, R.H.; Goggins, M. SPARC/Osteonectin Is a Frequent Target for Aberrant Methylation in Pancreatic Adenocarcinoma and a Mediator of Tumor–Stromal Interactions. Oncogene 2003, 22, 5021–5030. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  175. DiMartino, J.F.; Lacayo, N.J.; Varadi, M.; Li, L.; Saraiya, C.; Ravindranath, Y.; Yu, R.; Sikic, B.I.; Raimondi, S.C.; Dahl, G.V. Low or Absent SPARC Expression in Acute Myeloid Leukemia with MLL Rearrangements Is Associated with Sensitivity to Growth Inhibition by Exogenous SPARC Protein. Leukemia 2006, 20, 426–432. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  176. Socha, M.J.; Said, N.; Dai, Y.; Kwong, J.; Ramalingam, P.; Trieu, V.; Desai, N.; Mok, S.C.; Motamed, K. Aberrant Promoter Methylation of SPARC in Ovarian Cancer. Neoplasia 2009, 11, 126–135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  177. Yang, E.; Kang, H.J.; Koh, K.H.; Rhee, H.; Kim, N.K.; Kim, H. Frequent Inactivation of SPARC by Promoter Hypermethylation in Colon Cancers. Int. J. Cancer 2007, 121, 567–575. [Google Scholar] [CrossRef] [PubMed]
  178. Nikitovic, D.; Berdiaki, A.; Spyridaki, I.; Krasanakis, T.; Tsatsakis, A.; Tzanakakis, G.N. Proteoglycans-Biomarkers and Targets in Cancer Therapy. Front. Endocrinol. 2018, 9, 69. [Google Scholar] [CrossRef] [Green Version]
  179. Ahrens, T.D.; Bang-Christensen, S.R.; Jørgensen, A.M.; Løppke, C.; Spliid, C.B.; Sand, N.T.; Clausen, T.M.; Salanti, A.; Agerbæk, M.Ø. The Role of Proteoglycans in Cancer Metastasis and Circulating Tumor Cell Analysis. Front. Cell Dev. Biol. 2020, 8, 749. [Google Scholar] [CrossRef] [PubMed]
  180. Iozzo, R.V.; Sanderson, R.D. Proteoglycans in Cancer Biology, Tumour Microenvironment and Angiogenesis. J. Cell. Mol. Med. 2011, 15, 1013–1031. [Google Scholar] [CrossRef]
  181. Mongiat, M.; Taylor, K.; Otto, J.; Aho, S.; Uitto, J.; Whitelock, J.M.; Iozzo, R.V. The Protein Core of the Proteoglycan Perlecan Binds Specifically to Fibroblast Growth Factor-7. J. Biol. Chem. 2000, 275, 7095–7100. [Google Scholar] [CrossRef] [Green Version]
  182. Kawahara, R.; Granato, D.C.; Carnielli, C.M.; Cervigne, N.K.; Oliveria, C.E.; Martinez, C.A.R.; Yokoo, S.; Fonseca, F.P.; Lopes, M.; Santos-Silva, A.R.; et al. Agrin and Perlecan Mediate Tumorigenic Processes in Oral Squamous Cell Carcinoma. PLoS ONE 2014, 9, e115004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Gubbiotti, M.A.; Neill, T.; Iozzo, R.V. A Current View of Perlecan in Physiology and Pathology: A Mosaic of Functions. Matrix Biol. J. Int. Soc. Matrix Biol. 2017, 57–58, 285–298. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  184. Whitelock, J.M.; Melrose, J.; Iozzo, R.V. Diverse Cell Signaling Events Modulated by Perlecan. Biochemistry 2008, 47, 11174–11183. [Google Scholar] [CrossRef] [Green Version]
  185. Douglass, S.; Goyal, A.; Iozzo, R.V. The Role of Perlecan and Endorepellin in the Control of Tumor Angiogenesis and Endothelial Cell Autophagy. Connect. Tissue Res. 2015, 56, 381–391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  186. Mongiat, M.; Sweeney, S.M.; San Antonio, J.D.; Fu, J.; Iozzo, R.V. Endorepellin, a Novel Inhibitor of Angiogenesis Derived from the C Terminus of Perlecan. J. Biol. Chem. 2003, 278, 4238–4249. [Google Scholar] [CrossRef] [Green Version]
  187. Rivera, C.; Zandonadi, F.S.; Sánchez-Romero, C.; Soares, C.D.; Granato, D.C.; González-Arriagada, W.A.; Paes Leme, A.F. Agrin Has a Pathological Role in the Progression of Oral Cancer. Br. J. Cancer 2018, 118, 1628–1638. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  188. Lee, J.Y.; Spicer, A.P. Hyaluronan: A Multifunctional, MegaDalton, Stealth Molecule. Curr. Opin. Cell Biol. 2000, 12, 581–586. [Google Scholar] [CrossRef]
  189. Toole, B.P. Hyaluronan: From Extracellular Glue to Pericellular Cue. Nat. Rev. Cancer 2004, 4, 528–539. [Google Scholar] [CrossRef]
  190. Slevin, M.; Krupinski, J.; Gaffney, J.; Matou, S.; West, D.; Delisser, H.; Savani, R.C.; Kumar, S. Hyaluronan-Mediated Angiogenesis in Vascular Disease: Uncovering RHAMM and CD44 Receptor Signaling Pathways. Matrix Biol. 2007, 26, 58–68. [Google Scholar] [CrossRef] [PubMed]
  191. Bourguignon, L.Y.W.; Earle, C.; Shiina, M. Activation of Matrix Hyaluronan-Mediated CD44 Signaling, Epigenetic Regulation and Chemoresistance in Head and Neck Cancer Stem Cells. Int. J. Mol. Sci. 2017, 18, 1849. [Google Scholar] [CrossRef] [Green Version]
  192. Toole, B.P.; Hascall, V.C. Hyaluronan and Tumor Growth. Am. J. Pathol. 2002, 161, 745–747. [Google Scholar] [CrossRef] [Green Version]
  193. Wang, S.J.; Wong, G.; de Heer, A.-M.; Xia, W.; Bourguignon, L.Y.W. CD44 Variant Isoforms in Head and Neck Squamous Cell Carcinoma Progression. Laryngoscope 2009, 119, 1518–1530. [Google Scholar] [CrossRef] [PubMed]
  194. Karousou, E.; Misra, S.; Ghatak, S.; Dobra, K.; Götte, M.; Vigetti, D.; Passi, A.; Karamanos, N.K.; Skandalis, S.S. Roles and Targeting of the HAS/Hyaluronan/CD44 Molecular System in Cancer. Matrix Biol. 2017, 59, 3–22. [Google Scholar] [CrossRef]
  195. Liu, H.; Deng, S.; Zhao, Z.; Zhang, H.; Xiao, J.; Song, W.; Gao, F.; Guan, Y. Oct4 Regulates the MiR-302 Cluster in P19 Mouse Embryonic Carcinoma Cells. Mol. Biol. Rep. 2011, 38, 2155–2160. [Google Scholar] [CrossRef] [PubMed]
  196. Lin, S.-L.; Chang, D.C.; Chang-Lin, S.; Lin, C.-H.; Wu, D.T.S.; Chen, D.T.; Ying, S.-Y. Mir-302 Reprograms Human Skin Cancer Cells into a Pluripotent ES-Cell-like State. RNA 2008, 14, 2115–2124. [Google Scholar] [CrossRef] [Green Version]
  197. Lin, S.-L.; Chang, D.C.; Lin, C.-H.; Ying, S.-Y.; Leu, D.; Wu, D.T.S. Regulation of Somatic Cell Reprogramming through Inducible Mir-302 Expression. Nucleic Acids Res. 2011, 39, 1054–1065. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  198. Saint, A.; Van Obberghen-Schilling, E. The Role of the Tumor Matrix Environment in Progression of Head and Neck Cancer. Curr. Opin. Oncol. 2021, 33, 168–174. [Google Scholar] [CrossRef] [PubMed]
  199. Liu, C.; Liu, Y.; Xu, X.; Wu, H.; Xie, H.; Chen, L.; Lu, T.; Yang, L.; Guo, X.; Sun, G.; et al. Potential Effect of Matrix Stiffness on the Enrichment of Tumor Initiating Cells under Three-Dimensional Culture Conditions. Exp. Cell Res. 2015, 330, 123–134. [Google Scholar] [CrossRef]
  200. Matte, B.F.; Kumar, A.; Placone, J.K.; Zanella, V.G.; Martins, M.D.; Engler, A.J.; Lamers, M.L. Matrix Stiffness Mechanically Conditions EMT and Migratory Behavior of Oral Squamous Cell Carcinoma. J. Cell Sci. 2019, 132, jcs224360. [Google Scholar] [CrossRef] [Green Version]
  201. Fang, M.; Yuan, J.; Peng, C.; Li, Y. Collagen as a Double-Edged Sword in Tumor Progression. Tumour Biol. 2014, 35, 2871–2882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  202. Mouw, J.K.; Ou, G.; Weaver, V.M. Extracellular Matrix Assembly: A Multiscale Deconstruction. Nat. Rev. Mol. Cell Biol. 2014, 15, 771–785. [Google Scholar] [CrossRef] [PubMed]
  203. Urbanczyk, M.; Layland, S.L.; Schenke-Layland, K. The Role of Extracellular Matrix in Biomechanics and Its Impact on Bioengineering of Cells and 3D Tissues. Matrix Biomech. 2020, 85–86, 1–14. [Google Scholar] [CrossRef] [PubMed]
  204. Andreuzzi, E.; Capuano, A.; Poletto, E.; Pivetta, E.; Fejza, A.; Favero, A.; Doliana, R.; Cannizzaro, R.; Spessotto, P.; Mongiat, M. Role of Extracellular Matrix in Gastrointestinal Cancer-Associated Angiogenesis. Int. J. Mol. Sci. 2020, 21, 3686. [Google Scholar] [CrossRef]
  205. Provenzano, P.P.; Inman, D.R.; Eliceiri, K.W.; Keely, P.J. Matrix Density-Induced Mechanoregulation of Breast Cell Phenotype, Signaling and Gene Expression through a FAK-ERK Linkage. Oncogene 2009, 28, 4326–4343. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  206. Kopanska, K.S.; Alcheikh, Y.; Staneva, R.; Vignjevic, D.; Betz, T. Tensile Forces Originating from Cancer Spheroids Facilitate Tumor Invasion. PLoS ONE 2016, 11, e0156442. [Google Scholar] [CrossRef] [Green Version]
  207. Wozniak, M.A.; Desai, R.; Solski, P.A.; Der, C.J.; Keely, P.J. ROCK-Generated Contractility Regulates Breast Epithelial Cell Differentiation in Response to the Physical Properties of a Three-Dimensional Collagen Matrix. J. Cell Biol. 2003, 163, 583–595. [Google Scholar] [CrossRef] [PubMed]
  208. Runge, J.; Reichert, T.; Fritsch, A.; Käs, J.; Bertolini, J.; Remmerbach, T. Evaluation of Single-Cell Biomechanics as Potential Marker for Oral Squamous Cell Carcinomas: A Pilot Study. Oral Dis. 2014, 20, e120–e127. [Google Scholar] [CrossRef] [Green Version]
  209. Cox, T.R.; Erler, J.T. Remodeling and Homeostasis of the Extracellular Matrix: Implications for Fibrotic Diseases and Cancer. Dis. Model. Mech. 2011, 4, 165–178. [Google Scholar] [CrossRef] [Green Version]
  210. Walker, C.; Mojares, E.; del Río Hernández, A. Role of Extracellular Matrix in Development and Cancer Progression. Int. J. Mol. Sci. 2018, 19, 3028. [Google Scholar] [CrossRef] [Green Version]
  211. Gialeli, C.; Theocharis, A.D.; Karamanos, N.K. Roles of Matrix Metalloproteinases in Cancer Progression and Their Pharmacological Targeting: MMPs as Potential Targets in Malignancy. FEBS J. 2011, 278, 16–27. [Google Scholar] [CrossRef]
  212. Kessenbrock, K.; Wang, C.-Y.; Werb, Z. Matrix Metalloproteinases in Stem Cell Regulation and Cancer. Matrix Biol. 2015, 44–46, 184–190. [Google Scholar] [CrossRef] [PubMed]
  213. Murphy, G.; Nagase, H. Progress in Matrix Metalloproteinase Research. Mol. Aspects Med. 2008, 29, 290–308. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  214. Arendt, Y.; Banci, L.; Bertini, I.; Cantini, F.; Cozzi, R.; Del Conte, R.; Gonnelli, L. Catalytic Domain of MMP20 (Enamelysin)—The NMR Structure of a New Matrix Metalloproteinase. FEBS Lett. 2007, 581, 4723–4726. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  215. Garofalo, M.; Di Leva, G.; Romano, G.; Nuovo, G.; Suh, S.-S.; Ngankeu, A.; Taccioli, C.; Pichiorri, F.; Alder, H.; Secchiero, P.; et al. MiR-221&222 Regulate TRAIL Resistance and Enhance Tumorigenicity through PTEN and TIMP3 Downregulation. Cancer Cell 2009, 16, 498–509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  216. Dufour, A.; Overall, C.M. Missing the Target: Matrix Metalloproteinase Antitargets in Inflammation and Cancer. Trends Pharmacol. Sci. 2013, 34, 233–242. [Google Scholar] [CrossRef] [PubMed]
  217. Gkouveris, I.; Nikitakis, N.; Aseervatham, J.; Rao, N.; Ogbureke, K. Matrix Metalloproteinases in Head and Neck Cancer: Current Perspectives. Met. Med. 2017, 4, 47–61. [Google Scholar] [CrossRef] [Green Version]
  218. Sinpitaksakul, S.N.; Pimkhaokham, A.; Sanchavanakit, N.; Pavasant, P. TGF-Β1 Induced MMP-9 Expression in HNSCC Cell Lines via Smad/MLCK Pathway. Biochem. Biophys. Res. Commun. 2008, 371, 713–718. [Google Scholar] [CrossRef]
  219. Fields, G.B. The Rebirth of Matrix Metalloproteinase Inhibitors: Moving Beyond the Dogma. Cells 2019, 8, 984. [Google Scholar] [CrossRef] [Green Version]
  220. Gonzalez-Avila, G.; Sommer, B.; Mendoza-Posada, D.A.; Ramos, C.; Garcia-Hernandez, A.A.; Falfan-Valencia, R. Matrix Metalloproteinases Participation in the Metastatic Process and Their Diagnostic and Therapeutic Applications in Cancer. Crit. Rev. Oncol. Hematol. 2019, 137, 57–83. [Google Scholar] [CrossRef]
  221. Mukherjee, S.; Roth, M.J.; Dawsey, S.M.; Yan, W.; Rodriguez-Canales, J.; Erickson, H.S.; Hu, N.; Goldstein, A.M.; Taylor, P.R.; Richardson, A.M.; et al. Increased Matrix Metalloproteinase Activation in Esophageal Squamous Cell Carcinoma. J. Transl. Med. 2010, 8, 91. [Google Scholar] [CrossRef] [Green Version]
  222. Hauff, S.J.; Raju, S.C.; Orosco, R.K.; Gross, A.M.; Diaz-Perez, J.A.; Savariar, E.; Nashi, N.; Hasselman, J.; Whitney, M.; Myers, J.N.; et al. Matrix-Metalloproteinases in Head and Neck Carcinoma-Cancer Genome Atlas Analysis and Fluorescence Imaging in Mice. Otolaryngol. Head Neck Surg. 2014, 151, 612–618. [Google Scholar] [CrossRef] [Green Version]
  223. Hoffmann, C.; Vacher, S.; Sirven, P.; Lecerf, C.; Massenet, L.; Moreira, A.; Surun, A.; Schnitzler, A.; Klijanienko, J.; Mariani, O.; et al. MMP2 As An Independent Prognostic Stratifier In Oral Cavity Cancers. OncoImmunology 2019, 9, 1754094. [Google Scholar] [CrossRef] [PubMed]
  224. Sato, F.; Shimada, Y.; Watanabe, G.; Uchida, S.; Makino, T.; Imamura, M. Expression of Vascular Endothelial Growth Factor, Matrix Metalloproteinase-9 and E-Cadherin in the Process of Lymph Node Metastasis in Oesophageal Cancer. Br. J. Cancer 1999, 80, 1366–1372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  225. O-charoenrat, P.; Rhys-Evans, P.H.; Eccles, S.A. Expression of Matrix Metalloproteinases and Their Inhibitors Correlates With Invasion and Metastasis in Squamous Cell Carcinoma of the Head and Neck. Arch. Otolaryngol. Neck Surg. 2001, 127, 813–820. [Google Scholar]
  226. Ohashi, K.; Nemoto, T.; Nakamura, K.; Nemori, R. Increased Expression of Matrix Metalloproteinase 7 and 9 and Membrane Type 1-Matrix Metalloproteinase in Esophageal Squamous Cell Carcinomas. Cancer 2000, 88, 2201–2209. [Google Scholar] [CrossRef]
  227. Yamamoto, H.; Adachi, Y.; Itoh, F.; Iku, S.; Matsuno, K.; Kusano, M.; Arimura, Y.; Endo, T.; Hinoda, Y.; Hosokawa, M.; et al. Association of Matrilysin Expression with Recurrence and Poor Prognosis in Human Esophageal Squamous Cell Carcinoma. Cancer Res. 1999, 59, 3313–3316. [Google Scholar] [PubMed]
  228. Yamashita, K.; Mori, M.; Kataoka, A.; Inoue, H.; Sugimachi, K. The Clinical Significance of MMP-1 Expression in Oesophageal Carcinoma. Br. J. Cancer 2001, 84, 276–282. [Google Scholar] [CrossRef] [Green Version]
  229. Bai, X.; Li, Y.; Zhang, H.; Wang, F.; He, H.; Yao, J.; Liu, L.; Li, S. Role of Matrix Metalloproteinase-9 in Transforming Growth Factor-β1-Induced Epithelial–Mesenchymal Transition in Esophageal Squamous Cell Carcinoma. OncoTargets Ther. 2017, 10, 2837–2847. [Google Scholar] [CrossRef] [Green Version]
  230. Zeng, Z.-S.; Cohen, A.M.; Guillem, J.G. Loss of Basement Membrane Type IV Collagen Is Associated with Increased Expression of Metalloproteinases 2 and 9 (MMP-2 and MMP-9) during Human Colorectal Tumorigenesis. Carcinogenesis 1999, 20, 749–755. [Google Scholar] [CrossRef] [Green Version]
  231. Wessely, A.; Waltera, A.; Reichert, T.E.; Stöckl, S.; Grässel, S.; Bauer, R.J. Induction of ALP and MMP9 Activity Facilitates Invasive Behavior in Heterogeneous Human BMSC and HNSCC 3D Spheroids. FASEB J. 2019, 33, 11884–11893. [Google Scholar] [CrossRef] [Green Version]
  232. Ruokolainen, H.; Pääkkö, P.; Turpeenniemi-Hujanen, T. Expression of Matrix Metalloproteinase-9 in Head and Neck Squamous Cell Carcinoma. Clin. Cancer Res. 2004, 10, 3110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  233. Chen, Y.-K.; Tung, C.-W.; Lee, J.-Y.; Hung, Y.-C.; Lee, C.-H.; Chou, S.-H.; Lin, H.-S.; Wu, M.-T.; Wu, I.-C. Plasma Matrix Metalloproteinase 1 Improves the Detection and Survival Prediction of Esophageal Squamous Cell Carcinoma. Sci. Rep. 2016, 6, 30057. [Google Scholar] [CrossRef] [Green Version]
  234. Ye, Z.; Zhao, H.; Zhou, W.; Ye, T.; Geng, C.; Li, X.; Yuan, L.; Du, M.; Xu, H.; Wang, Q. Lower Serum Matrix Metalloproteinase-9 in Metastatic Patients with Esophageal Squamous Cell Carcinoma After Concurrent Radiotherapy Was Significant for Prognosis. OncoTargets Ther. 2020, 13, 12857–12866. [Google Scholar] [CrossRef]
  235. Virós, D.; Camacho, M.; Zarraonandia, I.; García, J.; Quer, M.; Vila, L.; León, X. Prognostic Role of MMP-9 Expression in Head and Neck Carcinoma Patients Treated with Radiotherapy or Chemoradiotherapy. Oral Oncol. 2013, 49, 322–325. [Google Scholar] [CrossRef]
  236. Murphy, G. The ADAMs: Signalling Scissors in the Tumour Microenvironment. Nat. Rev. Cancer 2008, 8, 932–941. [Google Scholar] [CrossRef] [PubMed]
  237. Uehara, E.; Shiiba, M.; Shinozuka, K.; Saito, K.; Kouzu, Y.; Koike, H.; Kasamatsu, A.; Sakamoto, Y.; Ogawara, K.; Uzawa, K.; et al. Upregulated Expression of ADAM12 Is Associated with Progression of Oral Squamous Cell Carcinoma. Int. J. Oncol. 2012, 40, 1414–1422. [Google Scholar] [CrossRef] [Green Version]
  238. Walker, J.L.; Fournier, A.K.; Assoian, R.K. Regulation of Growth Factor Signaling and Cell Cycle Progression by Cell Adhesion and Adhesion-Dependent Changes in Cellular Tension. Cytokine Growth Factor Rev. 2005, 16, 395–405. [Google Scholar] [CrossRef] [PubMed]
  239. Mazzocca, A.; Coppari, R.; De Franco, R.; Cho, J.-Y.; Libermann, T.A.; Pinzani, M.; Toker, A. A Secreted Form of ADAM9 Promotes Carcinoma Invasion through Tumor-Stromal Interactions. Cancer Res. 2005, 65, 4728–4738. [Google Scholar] [CrossRef] [Green Version]
  240. Mochizuki, S.; Okada, Y. ADAMs in Cancer Cell Proliferation and Progression. Cancer Sci. 2007, 98, 621–628. [Google Scholar] [CrossRef]
  241. Klein, T.; Bischoff, R. Active Metalloproteases of the A Disintegrin And Metalloprotease (ADAM) Family: Biological Function and Structure. J. Proteome Res. 2011, 10, 17–33. [Google Scholar] [CrossRef]
  242. Lu, X.; Lu, D.; Scully, M.; Kakkar, V. ADAM Proteins- Therapeutic Potential in Cancer. Curr. Cancer Drug Targets 2008, 8, 720–732. [Google Scholar] [CrossRef] [PubMed]
  243. Ko, S.-Y.; Lin, S.-C.; Wong, Y.-K.; Liu, C.-J.; Chang, K.-W.; Liu, T.-Y. Increase of Disintergin Metalloprotease 10 (ADAM10) Expression in Oral Squamous Cell Carcinoma. Cancer Lett. 2007, 245, 33–43. [Google Scholar] [CrossRef] [PubMed]
  244. Kornberg, L.J.; Villaret, D.; Popp, M.; Lui, L.; McLaren, R.; Brown, H.; Cohen, D.; Yun, J.; McFadden, M. Gene Expression Profiling in Squamous Cell Carcinoma of the Oral Cavity Shows Abnormalities in Several Signaling Pathways. Laryngoscope 2005, 115, 690–698. [Google Scholar] [CrossRef] [PubMed]
  245. Stokes, A.; Joutsa, J.; Ala-aho, R.; Pitchers, M.; Pennington, C.J.; Martin, C.; Premachandra, D.J.; Okada, Y.; Peltonen, J.; Grénman, R.; et al. Expression Profiles and Clinical Correlations of Degradome Components in the Tumor Microenvironment of Head and Neck Squamous Cell Carcinoma. Clin. Cancer Res. 2010, 16, 2022–2035. [Google Scholar] [CrossRef] [Green Version]
  246. Jones, A.V.; Lambert, D.W.; Speight, P.M.; Whawell, S.A. ADAM 10 Is over Expressed in Oral Squamous Cell Carcinoma and Contributes to Invasive Behaviour through a Functional Association with Avβ6 Integrin. FEBS Lett. 2013, 587, 3529–3534. [Google Scholar] [CrossRef] [Green Version]
  247. Takamune, Y.; Ikebe, T.; Nagano, O.; Nakayama, H.; Ota, K.; Obayashi, T.; Saya, H.; Shinohara, M. ADAM-17 Associated with CD44 Cleavage and Metastasis in Oral Squamous Cell Carcinoma. Virchows Arch. 2007, 450, 169–177. [Google Scholar] [CrossRef]
Figure 1. Schematic drawing of the metastatic spreading of UADT SCC.SCC tumor cells from the primary site penetrate the lymphatic vessels thus migrating to the regional lymph nodes forming Lymph Node Metastasis (LNM). Metastasis of SCC cells to the distant organs occurs both through the lymphatic and blood vessels mainly leading to lung, bone and liver colonization.
Figure 1. Schematic drawing of the metastatic spreading of UADT SCC.SCC tumor cells from the primary site penetrate the lymphatic vessels thus migrating to the regional lymph nodes forming Lymph Node Metastasis (LNM). Metastasis of SCC cells to the distant organs occurs both through the lymphatic and blood vessels mainly leading to lung, bone and liver colonization.
Cancers 13 02759 g001
Figure 2. Schematic representation of the major ECM molecules affecting multiple aspects of UADT SCC development. TheECM molecules interact with different proteins, growth factors and receptors impacting on several processes determining the fate of the SCC, such as: angiogenesis, lymphangiogenesis, tumor aggressiveness and invasion, pre-metastatic niche establishment, chemoresistance, and epithelial-mesenchymal transition (EMT).
Figure 2. Schematic representation of the major ECM molecules affecting multiple aspects of UADT SCC development. TheECM molecules interact with different proteins, growth factors and receptors impacting on several processes determining the fate of the SCC, such as: angiogenesis, lymphangiogenesis, tumor aggressiveness and invasion, pre-metastatic niche establishment, chemoresistance, and epithelial-mesenchymal transition (EMT).
Cancers 13 02759 g002
Figure 3. Schematic representation of the mechanisms by which the ECM affects tumor progression. In the TME, the ECM composition is modified due to altered expression of ECM molecules, mainly mediated by CAFs, and to the formation of inter- and intra-molecular crosslinking resulting in increased tissue stiffness. Furthermore, the higher levels of proteolytic enzymes lead to increased ECM degradation and the release of biologically active fragments/growth factors.
Figure 3. Schematic representation of the mechanisms by which the ECM affects tumor progression. In the TME, the ECM composition is modified due to altered expression of ECM molecules, mainly mediated by CAFs, and to the formation of inter- and intra-molecular crosslinking resulting in increased tissue stiffness. Furthermore, the higher levels of proteolytic enzymes lead to increased ECM degradation and the release of biologically active fragments/growth factors.
Cancers 13 02759 g003
Table 1. Main ECM molecules involved in UADT SCC and their roles in tumor progression.
Table 1. Main ECM molecules involved in UADT SCC and their roles in tumor progression.
ECM MoleculeReceptorsIntracellular SignalingClinical RelevanceSample TypeExpressionReferences
Type I collagenαvβ8 integrinFAK-MEK/ERKIncreased tumor aggressiveness
(biomarker)
RNA levels in tumor tissueIncreased[101,102,107,108]
Collagen A1
(XI)
DDR1Shp-2, Src, MAPKLymph nodes metastasis
(biomarker)
RNA and protein levels in tumor tissueIncreased[109,110,111,112]
Fibronectin
(FN)
αvβ6 and α9β1 integrinsTGF-βPoor patient prognosis, resistance to radiotherapy
(biomarker)
RNA and protein levels in tumor tissueIncreased[113,114,115,116,117,118]
Laminin 5α3β1 and α6β4 integrinsPI3K/AKT/mTORIncreased tumor invasiveness
(biomarker)
Protein levels in tumor tissueIncreased[78,119,120,121,122,123]
Tenascin-CIntegrinsAkt/HIF1α, CCL21/CCR7Poor clinical outcomes
(biomarker)
Protein levels in tumor tissue and plasmaIncreased[124,125,126,127,128,129,130]
SPARCIntegrinsMAPK,
PI3K/AKT
Poor clinical outcome and metastatic disease (biomarker)Protein and RNA levels in tumor tissueIncreased[131,132,133,134]
PerlecanGrowth
factors
MAPK, VEGF-VEGFRIncreased tumor
Invasiveness
(biomarker)
Protein levels in tumor tissueIncreased[135,136]
AgrinLrp4, MuSKFAK/ERK/cyclin D1Poor prognosis and chemotherapy resistance
(biomarker)
Protein levelsin tumor tissueIncreased[137,138,139,140,141]
HyaluronanCD44Nanog-STAT3 MAPK/ERKChemotherapy resistance, increased tumor invasiveness
(biomarker and potential therapeutic target)
Protein levels in saliva and RNA levels in tumor tissueIncreased[142,143,144,145,146,147,148,149,150,151]
Table 2. List of valuable non-ECM biomarkers for UADT SCC detection and their clinical relevance.
Table 2. List of valuable non-ECM biomarkers for UADT SCC detection and their clinical relevance.
BiomarkerProfileClinical RelevanceReferences
MMP -2,-3,-7,-9Up-regulated in UADT SCC patientsDepth of invasion, lymph node metastasis and vessel permeation[87,222,223,224,225,226]
MMP-7Up-regulated at the invasive front of the tumorShort disease-free and overall survival[227]
MMP-1Up-regulated in tumors and responsible for collagen degradationLocal invasion[228,233]
MMP-9Up-regulated in tumors and association with vimentin and SNAI1 levelsShortened relapse-free survival and poor prognosis of patients[229,230,231,232,234,235]
VEGF-AIncreased release upon ECM remodelingAdvanced disease and poor prognosis[86]
VEGF-C, -DIncreased release upon ECM remodelingLymph node metastasis and poor prognosis[84,86]
TGF-β1Increased expression in UADT SCC patientsDistant lymph nodes metastasis, low rate of survival and poor prognosis[218,229]
FGF, HGF, EGFIncreased release upon ECM remodelingPoor prognosis, advanced tumor stage[86,204]
EndostatinInduces VEGF-A and MMP-2,-9 expression promoting ECM remodeling and angiogenesisImportant role in tumor
dissemination influencing the efficacy of targeted therapies
[156,157]
ADAM 12Over-expressed in OSCCIncreased tumor progression[237]
ADAM 17Over-expressed in OSCCNodal metastasis, local recurrence and OSCC invasion[247]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Fejza, A.; Camicia, L.; Poletto, E.; Carobolante, G.; Mongiat, M.; Andreuzzi, E. ECM Remodeling in Squamous Cell Carcinoma of the Aerodigestive Tract: Pathways for Cancer Dissemination and Emerging Biomarkers. Cancers 2021, 13, 2759. https://doi.org/10.3390/cancers13112759

AMA Style

Fejza A, Camicia L, Poletto E, Carobolante G, Mongiat M, Andreuzzi E. ECM Remodeling in Squamous Cell Carcinoma of the Aerodigestive Tract: Pathways for Cancer Dissemination and Emerging Biomarkers. Cancers. 2021; 13(11):2759. https://doi.org/10.3390/cancers13112759

Chicago/Turabian Style

Fejza, Albina, Lucrezia Camicia, Evelina Poletto, Greta Carobolante, Maurizio Mongiat, and Eva Andreuzzi. 2021. "ECM Remodeling in Squamous Cell Carcinoma of the Aerodigestive Tract: Pathways for Cancer Dissemination and Emerging Biomarkers" Cancers 13, no. 11: 2759. https://doi.org/10.3390/cancers13112759

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop