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Review

The Role of ctDNA and Liquid Biopsy in the Diagnosis and Monitoring of Head and Neck Cancer: Towards Precision Medicine

1
Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
2
Department of Otolaryngology—Head and Neck Surgery, Louisiana State University Health Sciences Center, Shreveport, LA 71103, USA
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(18), 3129; https://doi.org/10.3390/cancers16183129
Submission received: 20 August 2024 / Revised: 8 September 2024 / Accepted: 10 September 2024 / Published: 11 September 2024
(This article belongs to the Special Issue Head and Neck Cancers—Novel Approaches and Future Outlook)

Abstract

:

Simple Summary

Liquid biopsy’s use in the field of head and neck cancer has garnered interest due to providing an efficient and insightful alternative or complement to the present standards for the diagnosis and monitoring of patients. Certain biomarkers have been associated with specific cancer diagnoses, responses to treatment, and risk of recurrence, including circulating tumor DNA. Analysis of circulating tumor DNA and viral DNA via liquid biopsy has linked certain mutations and methylation patterns to various patient outcomes across several types of head and neck cancer. The present paper has reviewed the recent literature examining liquid biopsy’s clinical utility in head and neck oncology and has discussed the clinical implications of aspects of circulating tumor DNA, among other biomarkers.

Abstract

Recent data have shown a continued rise in the worldwide annual incidence and mortality rates of head and neck cancers. The present standard for diagnosis and monitoring for disease recurrence or progression involves clinical examination, imaging, and invasive biopsy techniques of lesions suspected of being malignant. In addition to limitations relating to cost, time, and patient discomfort, these methodologies have inherent inaccuracies for detecting recurrence. In view of these limitations, the analysis of patient bodily fluid samples via liquid biopsy proposes a cost-effective and convenient alternative, which provides insight on the biogenetic and biomolecular underpinnings of oncologic disease processes. The monitoring of biomarkers for head and neck cancer via liquid biopsy, including circulating tumor DNA, circulating tumor cells, and circulating cell-free RNA, has shown clinical utility in the screening, diagnosis, prognostication, and monitoring of patients with various forms of head and neck cancer. The present review will provide an update on the current literature examining the use of liquid biopsy in head and neck cancer care and the clinical applicability of potential biomarkers, with a focus on viral and non-viral circulating tumor DNA. Possible future avenues for research to address specific shortcomings of liquid biopsy will be discussed.

1. Introduction

Head and neck cancer (HNC) refers to a pathologically varied group of malignant neoplasms of the upper aerodigestive tract and other structures of the head and neck regions [1]. Anatomic sites affected by HNC include the oral cavity, salivary glands, nasopharynx, oropharynx, nasal cavity, paranasal sinuses, larynx, skin of the head and neck, and, depending on the clinical definition, the thyroid gland [2,3]. The global incidence of HNC is predicted to continue to rise over the coming years, with trends indicating that human papilloma virus-related (HPV) oropharyngeal carcinomas will comprise the majority of HNCs over the next two decades [3]. From 2020 to 2022, cancers of the lip/oral cavity, larynx, nasopharynx, oropharynx, hypopharynx, and salivary glands rose from the 7th to the 6th most commonly diagnosed cancers and remained the 6th most common cancers to cause mortality worldwide. There are an additional 14,525 new HNC cases and 14,876 deaths per year associated with HNC being recorded in 2022 compared to malignancies of other anatomical sites [4,5].
The presence of nucleic acids in blood plasma was first reported by Mandel and Metais in 1948 [6]. Cell-free DNA (cfDNA) refers to genetic material organized in the form of DNA fragments of various sizes and from various origins found in bodily fluids independent of cells [7]. cfDNA can circulate free and unbound in the plasma, contained within a vesicle, or as part of macromolecular complexes composed of DNA bound to proteins or lipids [7]. DNA is released from cells into the plasma via several mechanisms, including apoptosis, necrosis, and NETosis, among others [8,9]. Given the role of cell damage and death in increasing the concentration of cfDNA in the serum, cfDNA has been recognized as a marker of inflammation and disease [9]. Accordingly, cfDNA has been found to be elevated in several pathological states, including certain kidney diseases, cardiovascular diseases, autoimmune conditions, and various cancers [10,11,12,13].
Circulating tumor DNA (ctDNA) was first explored by Leon et al. in 1977, and they found that participants with a variety of cancers had higher mean levels of cfDNA compared to healthy controls [13]. ctDNA refers to cfDNA derived from tumor cells [14]. ctDNA sequences are generally more fractionated and of shorter length than cfDNA fragments [14]. ctDNA is released from tumor cells into the bodily fluids either by cell death via apoptosis or necrosis or via active secretion [14]. In cancers of the head and neck, as well as cancers of other anatomical regions, the predominant pathways of ctDNA release into bodily fluids are via apoptosis and necrosis caused by rapid cell proliferation and tumor growth leading to tumor tissue hypoxia [15]. Hypoxia results from tumor growth outpacing the rate of neovascularization [15]. Certain treatment modalities, including surgery, radiotherapy, and chemotherapy, trigger cell death by causing tissue damage [16]. As the tumor cells die, impairment of phagocytosis by immune cells in the tumor tissue leads to accumulation of genetic material in the surrounding environment and subsequent release into nearby tissues [17]. As a result, the anatomic location of the tumor affects the concentration of ctDNA in different bodily fluids [17].
Quantitative and qualitative changes in the characteristics of ctDNA can provide essential information on a patient’s disease, thus having important clinical value [18]. For example, specific genetic mutations have been identified in various forms of cancer and can help inform diagnosis (Table 1) [18]. Methylation patterns have exhibited value in the early detection of cancer, predicting response to treatment, and determining cell of origin and therefore, cancer stage [19,20]. The concentration of ctDNA can be indicative of tumor burden, tumor localization, and rate of tumor growth [21].
Liquid biopsy allows for the analysis of ctDNA and other biomarkers of cancer present in the bodily fluids, including the blood, urine, saliva, and pleural, peritoneal, and cerebrospinal fluids [46]. The concept of liquid biopsy as an oncological diagnostic modality was first introduced in 2010 as a method for detecting circulating tumor cells (CTCs), and its application was expanded to the examination of ctDNA and other biomarkers in 2011 [47,48,49]. In HNC care, the current standard methods for diagnosis include endoscopy, imaging, and biopsy of a tumor sample by techniques such as excision or fine needle aspiration (FNA), while monitoring for recurrence is generally restricted to imaging and clinical examination (Table 2) [50,51,52]. The use of liquid biopsy has been successful in the diagnosis and monitoring of other solid tumors, and past studies on the use of liquid biopsy for the detection and monitoring of HNCs have shown potential for its clinical adoption as a less-invasive and less-expensive alternative to the current diagnostic standards [50,52]. The present literature review aims to review the literature on the implementation of liquid biopsy in HNC care, with a specific focus on ctDNA, and discuss its current and future use in relation to various histological types of head and neck malignancies.

2. Identification of Studies Included in the Present Review

PubMed (U.S. National Library of Medicine, National Institutes of Health), Scopus (Elsevier), Google Scholar, and Cochrane databases were reviewed from inception through 23 June 2024 to identify English-language articles discussing the use of liquid biopsy and ctDNA in the diagnosis and monitoring of various HNCs. ClinicalTrials.gov (U.S. National Library of Medicine, National Institutes of Health) was reviewed from inception through 3 September 2024, to identify clinical trials investigating liquid biopsy use in HNC care. Keywords used in the search strategies include combinations of “Head and Neck Cancer”, “Liquid Biopsy”, and “ctDNA”, as well as terms relating to anatomical and histological subtypes of HNCs, such as “Oropharyngeal”, “HPV”, and “Squamous Cell Carcinoma”. Titles and abstracts of the resulting articles were screened by the authors for relevance to the present review’s sections. Articles found to be relevant had their full texts reviewed. Findings and conclusions that were found to be pertinent to the present review were included.
Articles included in the present paper discuss the history of liquid biopsy’s development as a diagnostic and monitoring modality in the field of oncology, the various biomarkers that can be detected by liquid biopsy, and how these biomarkers can inform the clinical care of patients with various types of head and neck malignancies. Included articles were not limited to a specific type of research methodology. Articles that did not examine liquid biopsy in manners relevant to the topics discussed in the present literature review were excluded.

3. Liquid Biopsy

Initially, liquid biopsy assays focused on the analysis of CTCs but have since expanded to include ctDNA and circulating cell-free RNA (cfRNA) [49]. In oncology care, liquid biopsies are a minimally invasive method that can guide therapy, assess prognosis and tumor burden, and detect cancer by identifying and analyzing these molecules in a patient’s bodily fluid, most often blood [55]. While blood is the most common sample for liquid biopsy, saliva, cerebrospinal fluid, ascitic fluid, pleural fluid, and urine can be sampled as well.
The diagnostic workup for a patient with suspected HNC focuses on history, physical exam, and imaging, with tissue biopsies or cytology being used to establish a definitive diagnosis [56,57]. With the rapidly expanding field of genetic sequencing and tumor molecular profiling, liquid biopsies are being explored for their potential to improve outcomes among HNC patients [56,57,58]. In comparison to tissue biopsy or cytology, which are presently the gold standards for diagnosing head and neck squamous cell carcinomas (HNSCC), liquid biopsies are minimally invasive and may allow for earlier detection, prognosis, and monitoring of treatment response [55,56,57]. While blood, serum, or plasma are the most common samples used in liquid biopsy assays for HNC, technological advancements have led to the development of saliva-based assays [56,57]. A flowchart demonstrating the potential use of liquid biopsy techniques in clinical practice is shown in Figure 1.
There are a wide variety of biomarker assays being studied, including assays that detect and quantify CTCs, ctDNA, cfDNA, exosomes (EXOs), and tumor metabolites. Due to their rarity, CTCs can be difficult to isolate, but new 2-step isolation and purification techniques have been developed [56]. Other assays focus on non-cellular cancer components, like ctDNA or cfDNA, which are released by cancer cells or by macrophages that phagocytose them [56]. Assays must account for the varying levels of cfDNA, which depend on and are indicative of tumor burden, stage, and treatment [56]. EXOs are extracellular vesicles released by cells that measure between 30 and 150 nm and can be found in most bodily fluids [56]. The proteins, miRNA, mRNA, and DNA contained within an EXO’s lipid bilayer structure contribute to a tumor’s microenvironment and immune response [56]. EXO assays may have a higher yield than other assays; however, they can be more time-consuming to carry out and have a higher risk of contamination [56]. Finally, other tumor metabolites, like stearyl alcohol, sucrose, and plasma lysophosphatidylcholines, are being explored for their potential use as clinically relevant cancer biomarkers [56].
CTCs, while imperfect in certain respects compared to other biomarkers targetable by liquid biopsy, have been studied for their ability to prognosticate disease-free survival and overall survival in HNC patients and may have improved accuracy when used together with ctDNA [56,59]. Previously noted limitations associated with CTC use in HNC liquid biopsy assays compared to ctDNA and EXOs include very low concentrations of CTCs in bodily fluids, restriction of CTC detection to blood samples and absence of CTCs in other bodily fluids, and lower sensitivity values of available assays [56]. Detection rates of CTCs in patients with HPV-negative HNSCC and Epstein–Barr Virus-positive (EBV) nasopharyngeal carcinoma (NPC) were found to be highly variable and dependent on the assay used [59]. Conversely, the analysis of CTCs provides the opportunity to compare gene profiles of primary site tumor cells to those of CTCs and identify immune checkpoint markers expressed by CTCs that can inform immunotherapeutic interventions [56].
In addition to its use as a diagnostic and staging biomarker, ctDNA also has value in the monitoring of patients after treatment for the detection of disease recurrence, including when the patient is still asymptomatic [56]. Rutkowski et al. found that surveillance using a combination of ctDNA levels and PET-CT imaging may improve detection of recurrence of HPV-positive oropharyngeal cancer [60]. Furthermore, Lele et al. found that ctDNA detection in patient blood samples was significantly associated with post-treatment HNSCC recurrence, whereas identification of lesions with increased FDG uptake on PET scan was not, suggesting that liquid biopsy may be a superior modality for surveillance in certain cases [61].
In comparison to traditional tissue biopsy, which remains the gold standard for diagnosis, liquid biopsy is less invasive and can allow for earlier diagnosis, more convenient monitoring post-treatment, and earlier detection of recurrence. In early stages of disease, when malignancies may not have yet formed a discrete recurrence, tissue biopsy is not feasible. Moreover, pulmonary nodules up to one centimeter in size are often too small for biopsy. While liquid biopsy can facilitate earlier detection in these stages, the concentration of biomarkers, including ctDNA, is low in early stages of disease, and assays are thus more susceptible to false positive results [62]. In combination with tissue biopsy, ctDNA and CTC assays may provide a more comprehensive understanding of a tumor’s biogenetic profile, thus further informing guide treatment plans [55]. For patients with HPV-associated oropharyngeal squamous cell carcinoma (SCC) that present with cystic or necrotic nodes, findings show that, while FNA only has a 70–80% success rate in identifying malignancy, ctDNA had a pooled sensitivity of 81% and specificity of 98% [63]. Specificity and sensitivity values of ctDNA liquid biopsy assays reported in the literature are showcased in Figure 2, and the characteristics of the respective studies are presented in Table 3.
For patients receiving immune checkpoint inhibitor treatment, imaging studies may show pseudo-progression of the tumor due to the increased inflammation. Studies examining various types of cancer have shown that ctDNA and cfDNA levels can be monitored to assess patient treatment response to immune checkpoint therapy, often providing greater insight than imaging studies [55]. For patients with HPV-positive HNSCC, measurement of circulating tumor HPV DNA (ctHPVDNA) identified treatment failure earlier than imaging (MRI, CT, and 18 F-FDG PET-CT) [70].

4. Head and Neck Squamous Cell Carcinoma

HNSCCs make up the majority of head and neck malignancies, with over 90% of HNCs being HNSCCs [22,71]. HNSCC can arise from the mucosal epithelium of the oral cavity, oropharynx, hypopharynx, larynx, and nasopharynx, with the main recognized risk factors for its development being tobacco use, alcohol use, and infection by high-risk HPV or EBV [22,71,72]. HPV infection has been identified as driving the increase in rates of oropharyngeal cancers in developed countries, with HPV-16 being the most common HPV type identified on biopsies of HPV-positive HNCs [3,73].
Early studies on the application of liquid biopsy to the treatment and monitoring of HNSCC found that CTCs were detectable in only a small number of cases, with increased stage and high tumor burden being associated with an increased number of CTCs in peripheral blood samples [74]. CTC counts were found to inform HNSCC tumor localization, potential dissemination secondary to treatment, and prognosis in terms of likelihood of disease-free survival, recurrence, and disease progression [74]. Studies on ctDNA found that increased ctDNA levels in samples also correlated with advanced stage and post-treatment recurrence rates; TP53 was the most commonly identified mutated gene in HPV-negative HNSCC; ctDNA was detected in saliva samples of all patients with oral HNSCC; and combined plasma and saliva liquid biopsy was the most sensitive method for detecting ctDNA [74,75]. However, the paucity of data from early studies on liquid biopsy use in HNSCC diagnosis and monitoring, resulting from small sample sizes and large variations in the methodologies implemented and patient populations examined, limited the conclusions that could be drawn [74,75].
More recently, a systematic review by Huang et al. examining studies published between 2012 and 2023 corroborated earlier findings that TP53 was the most commonly mutated gene in HNSCC [22]. TP53 was also found to have the highest rate of concordant variants between tumor DNA (tDNA) and ctDNA at 6.25%, exhibiting the low degree of concordance in mutated genes detected in ctDNA and DNA of samples taken directly from the primary tumor site [22]. The highest degrees of concordance were detected in HPV-negative and stage IV HNSCCs [22]. The low concordance rate may be due to the high degree of intra-tumoral genomic heterogeneity between and within core and marginal sites of HNSCC tumors, with Payne et al. reporting that 96.5% of mutated genomic variants were found exclusively in a single site [76]. The examination of ctDNA via liquid biopsy in this same sample of patients was able to detect over 79% of high-frequency genomic variations, as well as most tumor site-specific mutations that could be missed by single-site tumoral biopsy, showcasing the potential of ctDNA liquid biopsy in both the diagnosis and tailoring of treatment of HNSCC according to genomic patterns identified [76]. Additionally, serial liquid biopsy testing of patients showed how frequencies of genomic variants and levels of intra-tumoral heterogeneity changed leading up to and at the time of HNSCC recurrence [76].
HPV-positive and HPV-negative HNSCCs differ in terms of commonly identified oncogenic mutations, which serve as identifiable targets for liquid biopsy. Data from The Cancer Genome Atlas (TCGA) has indicated that PIK3CA was the most commonly mutated oncogene in HPV-positive HNSCC, whereas genomic alterations in HPV-negative HNSCC were mostly limited to tumor suppressor genes, including TP53, NOTCH1, and FAT1 mutations and CDKN2A inactivation [58,77,78,79,80]. While a previous study found that high PIK3CA copy number gain in HNSCC tumor samples was significantly associated with lower disease-specific survival and larger tumor volume, no studies have been found to date examining the prognostic value of PIK3CA mutations in the ctDNA of HNSCC patients [81]. The detection of TP53 mutations in ctDNA has been associated with the presence of disease at last visit, regional metastasis, and decreased progression-free and overall survival, potentially making TP53 a valuable biomarker for prognostication [23,24]. While FAT1 mutations have been associated with better overall survival in HPV-negative HNSCC patients, their relationship to prognosis has not been examined in the exclusive context of ctDNA [82]. Lastly, CDKN2A and NOTCH1 ctDNA mutations were not found to have any prognostic value [23]. Further research exploring the role of specific mutations present in the ctDNA of HNSCC and other HNC patients and their relation to prognosis is warranted.
While PIK3CA mutations are more frequent in HPV-positive HNSCCs compared to HPV-negative HNSCC, PIK3CA is also commonly mutated in HPV-negative HNSCC [83]. Another target for the detection of HPV-positive HNSCC via liquid biopsy is ctHPVDNA, which results from the integration of HPV DNA into the genome of the host–cell [65,84]. The use of digital droplet PCR (ddPCR) to detect HPV-associated E7 exhibits greater efficiency and accuracy in diagnosis compared to tissue biopsy while also increasing the ability to discriminate HNSCC according to HPV status [65]. Ferrandino et al. found that the use of liquid biopsy to test for tumor tissue-modified viral-HPV DNA in peripheral blood samples for diagnosis and testing for recurrence of high-risk HPV-positive oropharyngeal SCC had a sensitivity of over 88% and a specificity of 100% [63]. Saliva samples from HPV-positive HNSCC patients have also shown increased ctHPVDNA levels and have high concordance rates with peripheral blood samples [85]. In addition to saliva and blood samples, urine is another bodily fluid in which ctDNA can be detected. While the use of urine samples has previously been limited to detection of cancers of the urinary tract, transrenal ctDNA, which refers to ctDNA that passes from the bloodstream to the urine via filtration by the kidneys, has been shown to have diagnostic value in HNSCC [86]. A recent study by Bhambhani et al. found that ultrashort fragments comprising less than 50 base pairs, which are likely to be overlooked by traditional ctDNA assays, of HPV-16 transrenal ctDNA were detectable in patient urine samples by a newly developed ctDNA assay [86]. Testing for ctHPVDNA via liquid biopsy has been shown to have potential prognostic value, with ctHPVDNA levels exhibiting correlations with tumor burden, disease progression and metastasis, treatment response, residual disease, recurrence, and survival [84,85]. Preliminary data have also shown that ctHPVDNA has potential in the diagnosis of HPV-positive sinonasal and nasopharyngeal squamous cell carcinomas (SCC), which differ genotypically from HPV-positive oropharyngeal SCCs in that HPV-16 is less predominant compared to other HPV types [87].
E6 and E7, the two major HPV-related oncoproteins, affect DNA methylation patterns, with hypermethylation of specific genetic sequences being reported in HPV-positive HNSCC [88]. Of note, methylation of genes CALML5, DNAJC5G, and LY6D in ctDNA was highly effective in differentiating between HPV-positive oropharyngeal SCC patients and healthy controls and is an identifiable target in ctDNA studies [25]. Specifically, hypermethylation of EDNRB in ctDNA was found to be significantly associated with HNSCC when comparing a pooled group of HPV-positive and HPV-negative HNSCC patients to healthy controls; however, hypermethylation of EDNRB was only detectable in a minority of HNSCC patients, limiting its value as a diagnostic biomarker [26]. When considering methylation patterns in ctDNA of salivary samples, Lim et al. found that genes RASSF1α, CDKN2A, TIMP3, and PCQAP/MED15 had higher levels of methylation in HPV-negative HNSCC patients compared to healthy controls, while the same genes had lower levels of methylation in HPV-positive HNSCC patients compared to healthy controls [27]. Other findings on methylation patterns in HNSCC previously described in the literature include associations between levels of primary tumor and ctDNA gene methylation levels, hypomethylation of Alu elements in ctDNA samples of HNSCC patients, and hypermethylation of gene promoter sequences in ctDNA of HNSCC patients, including the promoter sequences of CDKN2A, CDKN2B, DAPK1, MGMT, GSTP1, PRDM2, RASSF1, DLEC1, UCHL1, RARβ2, WIF1, DCC, MLH1, and CDH1 [28]. Further elucidation of ctDNA methylation patterns and their implications in the characterization of HNSCCs will further inform the development of future diagnosis and treatment modalities.

5. EBV+ Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) is a rare cancer that originates from the mucosal epithelium of the nasopharynx and most commonly arises from the fossa of Rosenmüller [89]. Rates vary by geographical region, with over 70 to 80% of new cases being diagnosed in East and Southeast Asia [89,90]. Geographical differences in incidence and prevalence of NPC may be due to various environmental, genetic, viral, and dietary factors, as well as the interplay between them [91,92]. Of note, in endemic regions, EBV infection is implicated as contributing to carcinogenesis in about 96% of NPC cases [92].
Traditionally, NPC has been diagnosed via nasal endoscopy and direct sampling and biopsy of the lesion, followed by imaging scans for staging [53]. An early study examining cell-free EBV DNA (cfEBVDNA) was published in 1999, which found that cfEBVDNA was detectable via real-time quantitative PCR in the peripheral blood plasma samples of 55 of 57 patients with histologically confirmed diagnoses of NPC compared to 3 of 43 healthy controls [93]. Detected cfEBVDNA levels were significantly higher in patients with stage III/IV NPC compared to those with stage I/II NPC, and 7 of 15 patients demonstrated decreased cfEBVDNA following the completion of radiotherapy [93].
The diagnostic and prognostic utility of plasma cfEBVDNA has been further highlighted by findings showing significant correlations between plasma cfEBVDNA concentrations and gross tumor volume of the primary lesion and metastatic lymph nodes [94]. Overall survival, disease-free survival, distant metastasis-free survival, and distant metastasis are all significantly associated with the detection of pretreatment plasma cfEBVDNA, while posttreatment plasma cfEBVDNA levels are significantly associated with distant metastasis and locoregional recurrence [94,95]. It should be noted that plasma cfEBVDNA was preferable to MRI in detecting distant metastasis, whereas MRI was preferable to cfEBVDNA in detecting locoregional occurrence, highlighting the complementary roles that liquid biopsy and MRI could play in post-treatment monitoring of NPC [95].
It has been demonstrated that testing plasma samples for cfEBVDNA carries potential utility in screening for early-stage NPC in Hong Kong, where NPC is endemic [68]. Chan et al. found that 34 of the 309 participants had persistently elevated levels of plasma cfEBVDNA were ultimately diagnosed with NPC. Screened patients were diagnosed with early-stage disease at a greater proportion than in a previous study; screening was associated with greater progression-free survival; and screening for NPC via plasma cfEBVDNA had a sensitivity and specificity greater than 97% [68]. To differentiate between individuals with and without NPC who tested positive for cfEBVDNA in the plasma, a follow-up study molecularly profiled cfEBVDNA and found that NPC patients had generally longer fragment lengths than their non-NPC counterparts [96]. While promising, it has been argued that screening for NPC via quantification of cfEBVDNA should be used in conjunction with other screening modalities: an estimated 130 patients with NPC would be missed annually in Hong Kong if plasma cfEBVDNA was implemented as the sole population screening tool [97].
Several DNA sequences have been identified as targets for hypermethylation in samples from patients with NPC. Higher rates of gene-silencing EBV-associated hypermethylation of CpG islands have been noted in the cfDNA promoter sequences of tumor suppressor genes RASSF1, CDKN2A, CDKN2B, DLEC1, DAPK1, UCHL1, WIF1, RARβ2, and CDH1 of NPC patients compared to healthy controls [29,30,31,32]. ctDNA analysis of peripheral blood samples shows the highest levels of methylation in patients with metastatic NPC of the gene bodies and intragenic regions of chromosomes 1 and 2, with greater hypermethylation levels of the open sea region compared to other regions of the CpG islands, which differs from DNA hypermethylation patterns of NPC tumor tissue [33]. More specifically, genes PLCB3, C18orf1, ZNF516, FGR, PLCB3, FGR, PRKCZ, KDM4B, HLX, MGRN1, UHRF1, SPI1, PLEC1, MPO, ADRBK1, COL11A2, MLLT1, FUT4, MBP, and FLNB were hypermethylated, whereas genes SMTN, KCNT1, APEH, and HLA-DRB5 were hypomethylated [33]. Quantitative PCR of NPC patient saliva samples was also able to reliably differentiate between patients with NPC and healthy controls on the basis of cfEBVDNA CpG island methylation levels, with decreases and increases in methylation levels relative to the cut-off value of the assay after therapy and after recurrence, respectively [98]. Given these findings, hypermethylation patterns of ctDNA carry potential for prognosis in addition to diagnosis.
Other biomarkers for NPC include CTCs, whose levels in the peripheral blood have been found to positively correlate with N stage and overall clinical stage and negatively correlate with survival in patients with stage III-IVA NPC [99]. Post-chemoradiotherapy, mesenchymal CTC detection in peripheral blood samples was positively correlated with N stage and negatively correlated with 3 year survival [99]. MicroRNAs, which are approximately 22 nucleotide RNA fragments, encoding the BART region of EBV DNA are tissue-specific and can be released into the bloodstream similarly to ctDNA, with suggestions that BART microRNA could be used for the detection of NPC due to being present in higher levels in the peripheral blood of NPC patients compared to healthy controls [53,100]. Lastly, there is recent evidence that tumor-educated platelet-long non-coding RNA regulators of reprogramming plasma levels are negatively associated with NPC and carry a similar diagnostic value to cfEBVDNA [101].

6. Other Types of Head and Neck Cancers

Salivary gland primary tumors are rare and most commonly affect the parotid gland, although they can also arise from the smaller salivary glands, in which case they are generally malignant [102]. Diagnosis is performed via FNA and subsequent histological analysis, yet diagnosis can be challenging due to the histological heterogeneity of salivary gland neoplasms and the difficulty to differentiate between benign and malignant tumor cells on cytology [102]. Consequentially, determination of the neoplasm’s histology is typically performed post-surgery via immunohistology [102].
Several potentially targetable biomarkers for the detection and monitoring of salivary gland cancers via liquid biopsy have been explored; however, there is a paucity of previous literature on the topic. Genomic profiling of ctDNA in a set of patients with various histological types of salivary gland carcinomas determined the most commonly altered genes to be TP53, PIK3CA, ERBB2, ATM, EGFR, and HRAS, while BRAF and KRAS mutations and EGFR amplification were identified as potentially targetable alterations that were newly detected on serial testing [34]. When examining ctDNA alterations by histological subtype of salivary gland carcinoma, it was found that PI3KCA mutations were common in adenoid cystic carcinoma and salivary duct carcinoma, ERBB2 mutations were common in salivary gland adenocarcinoma, and EGFR mutations were common in salivary gland mucoepidermoid carcinoma [34]. Additionally, in patients with metastatic adenoid cystic carcinoma, copy number analysis detected chromosomal alterations in ctDNA that were consistent with genetic mutations from samples taken from the primary tumor site, and CDK6 gene amplification in chromosome 7q was identified in peripheral blood samples as a potential biomarker for disease progression [35]. Other identified potential biomarkers include elevated plasma levels of IL-33 in benign and malignant salivary gland neoplasms and its receptor, sST2, among metastatic acini cell carcinomas and benign pleomorphic adenomas, elevated levels of IL-4 in the peripheral blood of patients with malignant salivary duct carcinomas, and elevated levels of CA 19-9 in salivary samples of patients with malignant parotid cancers [102]. Preliminary studies have also noted that increased levels of expression of the androgen receptor splicing variant ARv7 by CTCs in peripheral blood samples of a single patient with metastatic salivary gland carcinoma predicted treatment resistance to combined androgen blockade therapy, and that detection of CTCs in peripheral blood samples of patients with adenoid cystic carcinoma could indicate local recurrence or distant metastasis [103,104].
Sinonasal cancers are rare tumors of the head and neck that may present with nasal and neurological symptoms, and they carry a significant risk of metastasis and local recurrence [54]. Current recommendations state that sinonasal cancers should be diagnosed via endoscopy and tumor biopsy followed by imaging with CT, MRI, and 18 F-FDG PET/CT to evaluate localization, histology, and size of the tumor, invasion into nearby bony and soft tissue structures, and presence of metastasis [54]. As noted in past literature, data on the utility of liquid biopsy in the diagnosis and monitoring of sinonasal cancers is sparse [59]. Micro RNA has been identified as a potential indicator of disease progression in patients with sinonasal intestinal-type adenocarcinomas (ITAC), with levels of miR-34c levels in nasal washings being increased in patients with increased levels of tumor differentiation and decreased in patients with signs of tumor intracranial extension, orbital extension, and advanced tumor staging [105]. Additionally, Cabezas-Camarero et al. discussed a case of the use of liquid biopsy to detect KRAS mutations in exon 2 codon 12 of CTC DNA in the peripheral blood of a patient with recurrent and anti-EGFR therapy-resistant ITAC, which were concordant with mutations found in the solid tumor biopsies via BEAMing, a technique that was previously found effective in detecting colorectal cancer-related genetic mutations [36]. A case series by Freiberger et al. on three patients with immunotherapy-resistant sinonasal melanoma found that NRAS mutations arose in the ctDNA collected from plasma samples during or after finishing treatment [37]. Lastly, two of three patients with sinonasal cancer who had CTCs detected in their peripheral blood samples had locally advanced sinonasal differentiated carcinoma [106]. While these findings may suggest promise in the use of liquid biopsy in the care of patients with sinonasal cancers, larger scale studies need to be carried out before broader conclusions are made.
Thyroid cancer refers to various malignancies that originate from thyroid tissue follicular cells, or C-cells, and differ in regard to histology and clinical implications [38]. The current standard for the diagnosis of thyroid cancers is detection by ultrasound imaging followed by confirmation via fine needle aspiration cytology (FNAC); however, in addition to being invasive, FNAC is operator-dependent and results in indeterminate findings in 15–30% of cases, and is limited in differentiating between benign follicular adenomas and malignant follicular carcinomas [39]. Monitoring for recurrence of thyroid cancer post-total thyroidectomy is carried out by serial measurements of serum thyroglobulin levels, but this is limited by variations in results of different assays and the interference of serum thyroglobulin antibodies [39]. Liquid biopsy has the potential to address these limitations.
Genomic patterns of plasma ctDNA samples have been found to vary between patients with different types of thyroid cancer, with TP53 being the most commonly mutated across histological subtypes [38]. Other altered genes included BRAF, RAS, RET, ALK, NTRK, PIK3CA, and PTEN [38,39,40]. Specifically, one study reported that the BRAFV600E mutation has been detected in the serum samples of some patients with papillary thyroid cancer but was not found to be associated with lymphatic invasion, lymph node metastasis, or extra-nodal extension [41]. Conversely, the prognostic utility of BRAFV600E-mutated ctDNA is supported by the findings of Almubarak et al., who found that BRAFV600E-mutated ctDNA levels were higher in patients with metastatic compared to non-metastatic papillary thyroid carcinoma (PTC) [42]. Additionally, ctDNA serum levels were found to have a higher sensitivity and specificity (86% and 90%, respectively) in diagnosing PTC than the standard thyroglobulin assay (78% and 65%, respectively) [42]. Hypermethylation of RASSF1 and SLC5A8 promoter regions was found to be higher in both tumor tissue samples and ctDNA of patients with PTC compared to those with benign thyroid nodules, and hypermethylation of the promoter regions of SLC5A8 in ctDNA was significantly associated with stage of PTC [43]. Another study reported that concordance of BRAFV600E-mutated plasma ctDNA and primary lesion DNA collected via FNAC was noted in 73.08% of a cohort of participants composed of 22 patients with PTC and four comparators with benign thyroid nodules, and that five out of six patients with PTC that were positive for BRAFV600E-mutated ctDNA were found to be negative 24 h post-surgery [44]. Yet, this is not the case across thyroid cancer subtypes: A study on patients diagnosed with medullary thyroid carcinoma found that detection of mutually exclusive RET and RAS mutations in ctDNA did not significantly associate with patients being pre- or post-surgery [45]. In terms of anaplastic thyroid carcinoma, the most aggressive subtype of thyroid cancer, Sandulache et al. reported that the most commonly detected ctDNA mutations in a sample of 23 patients were TP53 and BRAF (65% and 48%, respectively), and treatment-naive patients had higher concordance rates between ctDNA and tDNA [40].
Apart from ctDNA, other biomarkers that can be targeted by liquid biopsy include CTCs and various types of cfRNA. CTC detection and monitoring has been claimed to be effective in distinguishing between benign and malignant thyroid nodules, distinguishing between patients with differentiated thyroid cancer and healthy controls, determining initial tumor stage, prognosticating patients with metastatic disease, determining primary tumor size and presence of vascular invasion, and monitoring patient response to radioiodine therapy [39,107]. cfRNA had utility in diagnosis, identification of recurrence, staging, prognostication, and informing treatment in several types of thyroid cancer [39].

7. Challenges and Limitations

Although promising, the use and implementation of liquid biopsy in HNC care is not without challenges and limitations. Several technological advancements in liquid biopsy techniques have allowed for increased effectiveness and precision in its use as a diagnostic and monitoring modality. For example, next-generation sequencing (NGS) and ddPCR were found to have greater sensitivity than qualitative PCR in detecting ctHPVDNA in patient plasma samples, while NGS had greater sensitivity than ddPCR and qualitative PCR in detecting ctHPVDNA in oral rinses of patients with HPV-associated HNSCC [64]. Furthermore, NGS of ctDNA in blood samples of patients with various types of recurrent and metastatic HNCs identified new genetic mutations not detected on NGS of tDNA [108]. In addition to NGS of plasma having a higher sensitivity in the detection of genetic mutations than NGS of tumor tissue, it is also less invasive [108,109]. However, high costs and convoluted data analyses of technologies like ddPCR and NGS present a barrier for the widespread clinical adoption of liquid biopsy [110].
Other issues relating to costs include the need for adequate materials and infrastructure for the storage of patient samples, which could affect the reliability and accuracy of liquid biopsy if suboptimal [111]. For example, ddPCR requires certain reagents with high costs to function [58]. Additionally, carrying out higher-order multiplexing, in which ddPCR quantifies the amount of more than two targets within a single reaction, is complicated and would require further training of laboratory technicians responsible for performing these techniques [58,112]. Nevertheless, costs and convoluted data manipulation, among other factors limiting the accessibility of these technologies and their use in routine clinical care, have been identified, and efforts are being undertaken to address them [51,57,110]. For example, Nonaka and Wong have developed a diagnostic liquid biopsy alternative to traditional assays, known as EFIRM (electric field-induced release and measurement), which requires low volumes of bodily fluids and can reliably detect ctDNA and exosomal RNA [110]. Proposals have been made to require further computational training for scientific researchers to obtain the necessary skills for the management and analysis of complicated data originating from NGS, and this suggestion should also apply to personnel responsible for the analysis of results of assays used in clinical care [113]. In addition to training interventions, user-friendly software has been developed to facilitate the management of NGS data and overcome barriers associated with it, such as the expensive computational infrastructure required for NGS data analyses [114]. Future efforts to further increase the accessibility of these technologies will be necessary if liquid biopsy is to become widespread in clinical adoption.
Another barrier that has been identified is the necessity for more data from prospective, longitudinal studies on the clinical utility of liquid biopsy to ascertain the effectiveness of various assays in patient care [115]. Such studies could help refine the sensitivity and specificity values of these assays, which have been noted by some to be clinically suboptimal [56,58]. Furthermore, in specific relation to the diagnosis and monitoring of HPV-related HNSCC, improvement of current technologies is warranted to expand the currently limited set of HPV types that are able to be detected via liquid biopsy assays [116]. The lack of FDA-approved, HNC-related liquid biopsy biomarkers poses another challenge that prevents its adoption for clinical use [58].
Other considerations to note concern disease-, treatment-, and data collection-related limitations of liquid biopsy. Due to the tumor heterogeneity-related discordance often found between circulating biomarkers and those of the primary tumor tissue, liquid biopsy may be limited in its ability to comprehensively characterize malignancies from which the analyzed biomarkers originate [76,110]. Furthermore, recurrence at primary sites may be less detectable, especially in the setting of altered lymphatics. Additionally, variables including undergoing radiochemotherapy, gastrostomy tube placement, having an infection, and antibiotic use were associated with increased cfDNA levels in blood samples of HNC patients, which could be confounding variables in the use of liquid biopsy for the monitoring of treatment response and cancer recurrence [117]. The capability of liquid biopsies to distinguish between biomarkers originating from cancerous and non-cancerous tissues poses another hurdle [56]. Given that multiple factors contribute to levels of cfDNA detected in patient bodily fluids, the clinical context should be accounted for when considering the implications of liquid biopsy test results. Serial repetition of cfDNA concentration measurements would help discern between transient inflammatory states, such as a spike in detected ctDNA levels following recent radiotherapy, and cancer recurrence or persistence [9]. The delineation of cfDNA levels associated with certain inflammatory states and severity of inflammation, use of complementary testing and imaging in addition to liquid biopsy, establishing the baseline ctDNA concentration of patients prior to and following treatment for comparative use in monitoring, and identifying mutations or genetic sequences that are malignancy-specific and can be tested for and reliably detected can potentially mitigate these limitations [9,117,118].
There are other limitations intrinsic to the use of ctDNA and current liquid biopsy technologies. False positive and negative test results have been discussed, and this has clinical implications that can affect treatment plans and cause distress among patients [119,120,121]. To address variations in sensitivities of different assays, multigene panel analyses of ctDNA have been suggested [119]. Similar concerns regarding the sensitivity and specificity of using other biomarkers in liquid biopsy assays, such as CTCs, have been identified and are currently being researched [121]. Other challenges identified that are necessary to address prior to widespread clinical adoption of liquid biopsy technologies include the need to establish practical standards regarding the optimal biological samples to be used, methods of sample storage, and clinically relevant biomarkers to be tested for, which may differ according to cancer histopathology or anatomical location [119]. There is also the need to standardize preanalytical variables to control for confounding effects on assay results and perform studies comparing various liquid biopsy assays to identify which are most appropriate in specific clinical scenarios [122].
It should be noted that ctDNA in peripheral blood samples comprises a small fraction of the cfDNA present in circulation, with the majority of cfDNA originating from hematopoietic cells [120]. Thus, non-cancer cfDNA may dilute the amount of circulating genetic material directly relevant to oncological care [120]. This is further compounded by the possibility of low amounts of tumor shedding related to various factors, including tumor burden and location [123]. The cfDNA originating from these hematopoietic cells may gain somatic mutations known as clonal hematopoiesis of indeterminate potential (CHIP) mutations [120,123,124]. This would contribute to complicating the ability to differentiate between oncogenic mutations in ctDNA and spontaneous somatic mutations present in non-cancer cfDNA, thus increasing the risk for false positive results [120,123,124]. Suggestions to reduce the amount of potentially confounding nontumorous cfDNA in liquid biopsy analytes include maintaining samples at ambient temperatures, performing double plasma centrifugation and using special cfDNA blood collection tubes to separate different-size fragments of cfDNA from one another, performing laboratory testing soon after sample collection, sequencing normal leukocytes to identify CHIP mutations, and avoiding sample collection in periods of heightened cfDNA levels [124]. Furthermore, low levels of ctDNA are present in bodily fluids in the early stages of cancer, which may lead to false negative test results due to ctDNA needing to comprise at least ten percent of the cfDNA to provide accurate information on tumor characteristics [125]. While increasing the sensitivity of liquid biopsy assays by expanding upon the depth of sequencing may seem like a potential solution, false-positive rates would increase due to genetic sequences of oncogenic mutations being detected in cfDNA not originating from tumors [125].
Furthermore, the management algorithm for patients with early recurrences detected via liquid biopsy without clinical or radiographic evidence of disease has yet to be established. Haring et al. argue that liquid biopsy may be limited in its ability to characterize the burden or location of disease recurrence [126]. For example, there are no agreed-upon ctHPVDNA levels to differentiate between local, regional, and distant recurrences [127]. This limits the effectiveness of liquid biopsy in informing therapeutic interventions, which differ in appropriateness depending on location of recurrence [126]. In terms of surveillance schedules, positive liquid biopsy testing without clinicoradiological correlates can prompt more frequent testing and imaging to ensure earlier detection of clinical disease [128]. Clinical trials and other future investigations will quantify the utility of liquid biopsy in this regard.
The ethical and psychological implications of liquid biopsy’s technical limitations must also be noted. False liquid biopsy results stemming from the suboptimal reliability of certain assays may cause undue psychological distress to patients [129]. False positives can increase patient stress, anxiety, and fear of death while also subjecting patients to the psychological and physical effects of unnecessary treatment [129]. False negatives can lead to delays in necessary care and treatment, thus decreasing chances of positive patient outcomes and leading to further future deterioration in patient quality of life due to unchecked disease progression [129]. Additionally, the lack of clear clinical guidelines on how to proceed in patients with recurrences detected via liquid biopsy without clinical or radiographic evidence of disease, as was discussed above, can contribute to patient anxiety secondary to increased patient uncertainty [130]. On the other hand, liquid biopsy has the potential of decreasing patient discomfort and distress by offering a less invasive alternative to current diagnostic and monitoring approaches, decreasing financial burden and associated stress by early identification and treatment of disease, and reassuring patients by providing greater insight on their disease and prognosis [129,131].

8. Conclusions and Future Directions

Liquid biopsy carries the potential to revolutionize HNC care. It has shown promise in diagnosis, staging, prognosis, and treatment monitoring of various types of HNCs; however, more research is warranted to resolve contradictions presented by the results of different studies and elucidate liquid biopsy’s clinical applicability and utility. Recent clinical trials exploring the use of liquid biopsy in HNC care are listed in Table 4.
Future avenues for investigative studies include determining ways to simplify and increase accessibility and affordability of liquid biopsy assays, refining current technologies to ensure adequate clinical standards are met, and identifying other disease-specific biomarkers and elucidating the implications of their detection at different points in a patient’s disease course. In terms of accessibility, specific barriers have been identified that may limit underserved populations’ access to liquid biopsy. Barriers faced by patients from underserved backgrounds include providers being less likely to recommend new technologies to these patients, patient mistrust of the medical establishment and decreased willingness to be subject to emergent medical techniques, and poor health literacy impeding the understanding of the pros and cons of liquid biopsy [131]. In addition to recruiting samples representative of the HNC patient population at large for enrollment in clinical trials, complementing clinical trial findings with findings from studies examining the utility of liquid biopsy among larger and more generalizable study populations can provide valuable insight on the large-scale applicability and utility of liquid biopsy [131]. With the continued refinement and development of liquid biopsy assays, the establishment of clinical guidelines and standards, and the identification of clinically relevant biomarkers, liquid biopsy promises to increase the possibilities for individualized and personalized approaches to HNC patient care and oncology care at large.

Author Contributions

Conceptualization, S.I.N., S.A.N., D.A., J.P. and C.-A.O.N.; investigation, S.I.N., A.S., D.A. and J.P.; writing—original draft preparation, S.I.N., A.S., S.A.N., D.A., J.P. and C.-A.O.N.; writing—review and editing, S.I.N., A.S., S.A.N., D.A., J.P. and C.-A.O.N.; supervision, S.A.N., D.A., J.P. and C.-A.O.N.; project administration, S.A.N. and C.-A.O.N. All authors have read and agreed to the published version of the manuscript.

Funding

The authors have received no funding for this study and have no disclosures.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Mody, M.D.; Rocco, J.W.; Yom, S.S.; Haddad, R.I.; Saba, N.F. Head and neck cancer. Lancet 2021, 398, 2289–2299. [Google Scholar] [CrossRef] [PubMed]
  2. Amin, M.B. AJCC Cancer Staging Manual, 8th Up to date with Vulva Version 9 protocol ed.; Mahul, B., Amin, S.B.E., Eds.; American College of Surgeons: Essex, CT, USA, 2017. [Google Scholar]
  3. Gormley, M.; Creaney, G.; Schache, A.; Ingarfield, K.; Conway, D.I. Reviewing the epidemiology of head and neck cancer: Definitions, trends and risk factors. Br. Dent. J. 2022, 233, 780–786. [Google Scholar] [CrossRef] [PubMed]
  4. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  5. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef] [PubMed]
  6. Mandel, P.; Metais, P. Nucleic acids of human blood plasma. Comptes Rendus Seances Soc. Biol. Ses Fil. 1948, 142, 241–243. [Google Scholar]
  7. Pös, O.; Biró, O.; Szemes, T.; Nagy, B. Circulating cell-free nucleic acids: Characteristics and applications. Eur. J. Hum. Genet. 2018, 26, 937–945. [Google Scholar] [CrossRef]
  8. Grabuschnig, S.; Bronkhorst, A.J.; Holdenrieder, S.; Rosales Rodriguez, I.; Schliep, K.P.; Schwendenwein, D.; Ungerer, V.; Sensen, C.W. Putative origins of cell-free DNA in humans: A review of active and passive nucleic acid release mechanisms. Int. J. Mol. Sci. 2020, 21, 8062. [Google Scholar] [CrossRef]
  9. Spector, B.L.; Harrell, L.; Sante, D.; Wyckoff, G.J.; Willig, L. The methylome and cell-free DNA: Current applications in medicine and pediatric disease. Pediatr. Res. 2023, 94, 89–95. [Google Scholar] [CrossRef]
  10. Celec, P.; Vlková, B.; Lauková, L.; Bábíčková, J.; Boor, P. Cell-free DNA: The role in pathophysiology and as a biomarker in kidney diseases. Expert Rev. Mol. Med. 2018, 20, e1. [Google Scholar] [CrossRef]
  11. Polina, I.A.; Ilatovskaya, D.V.; DeLeon-Pennell, K.Y. Cell free DNA as a diagnostic and prognostic marker for cardiovascular diseases. Clin. Chim. Acta 2020, 503, 145–150. [Google Scholar] [CrossRef]
  12. Xu, Y.; Song, Y.; Chang, J.; Zhou, X.; Qi, Q.; Tian, X.; Li, M.; Zeng, X.; Xu, M.; Zhang, W. High levels of circulating cell-free DNA are a biomarker of active SLE. Eur. J. Clin. Investig. 2018, 48, e13015. [Google Scholar] [CrossRef] [PubMed]
  13. Leon, S.; Shapiro, B.; Sklaroff, D.; Yaros, M. Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res. 1977, 37, 646–650. [Google Scholar] [PubMed]
  14. Dao, J.; Conway, P.J.; Subramani, B.; Meyyappan, D.; Russell, S.; Mahadevan, D. Using cfDNA and ctDNA as oncologic markers: A path to clinical validation. Int. J. Mol. Sci. 2023, 24, 13219. [Google Scholar] [CrossRef] [PubMed]
  15. Jahr, S.; Hentze, H.; Englisch, S.; Hardt, D.; Fackelmayer, F.O.; Hesch, R.-D.; Knippers, R. DNA fragments in the blood plasma of cancer patients: Quantitations and evidence for their origin from apoptotic and necrotic cells. Cancer Res. 2001, 61, 1659–1665. [Google Scholar]
  16. Alix-Panabières, C.; Pantel, K. Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer Discov. 2016, 6, 479–491. [Google Scholar] [CrossRef]
  17. Bellairs, J.A.; Hasina, R.; Agrawal, N. Tumor DNA: An emerging biomarker in head and neck cancer. Cancer Metastasis Rev. 2017, 36, 515–523. [Google Scholar] [CrossRef]
  18. Pessoa, L.S.; Heringer, M.; Ferrer, V.P. ctDNA as a cancer biomarker: A broad overview. Crit. Rev. Oncol. Hematol. 2020, 155, 103109. [Google Scholar] [CrossRef]
  19. Heitzer, E.; Haque, I.S.; Roberts, C.E.; Speicher, M.R. Current and future perspectives of liquid biopsies in genomics-driven oncology. Nat. Rev. Genet. 2019, 20, 71–88. [Google Scholar] [CrossRef]
  20. Mastoraki, S.; Strati, A.; Tzanikou, E.; Chimonidou, M.; Politaki, E.; Voutsina, A.; Psyrri, A.; Georgoulias, V.; Lianidou, E. ESR1 methylation: A liquid biopsy–based epigenetic assay for the follow-up of patients with metastatic breast cancer receiving endocrine treatment. Clin. Cancer Res. 2018, 24, 1500–1510. [Google Scholar] [CrossRef]
  21. Méhes, G. Liquid biopsy for predictive mutational profiling of solid cancer: The pathologist’s perspective. J. Biotechnol. 2019, 297, 66–70. [Google Scholar] [CrossRef]
  22. Huang, X.; Leo, P.; Jones, L.; Duijf, P.H.; Hartel, G.; Kenny, L.; Vasani, S.; Punyadeera, C. A comparison between mutational profiles in tumour tissue DNA and circulating tumour DNA in head and neck squamous cell carcinoma—A systematic review. Mutat. Res. Rev. Mutat. Res. 2023, 793, 108477. [Google Scholar] [CrossRef] [PubMed]
  23. Wilson, H.L.; D’Agostino, R.B., Jr.; Meegalla, N.; Petro, R.; Commander, S.; Topaloglu, U.; Zhang, W.; Porosnicu, M. The prognostic and therapeutic value of the mutational profile of blood and tumor tissue in head and neck squamous cell carcinoma. Oncologist 2021, 26, e279–e289. [Google Scholar] [CrossRef]
  24. Kampel, L.; Feldstein, S.; Tsuriel, S.; Hannes, V.; Carmel Neiderman, N.N.; Horowitz, G.; Warshavsky, A.; Leider-Trejo, L.; Hershkovitz, D.; Muhanna, N. Mutated TP53 in Circulating Tumor DNA as a Risk Level Biomarker in Head and Neck Squamous Cell Carcinoma Patients. Biomolecules 2023, 13, 1418. [Google Scholar] [CrossRef]
  25. Misawa, K.; Imai, A.; Matsui, H.; Kanai, A.; Misawa, Y.; Mochizuki, D.; Mima, M.; Yamada, S.; Kurokawa, T.; Nakagawa, T. Identification of novel methylation markers in HPV-associated oropharyngeal cancer: Genome-wide discovery, tissue verification and validation testing in ctDNA. Oncogene 2020, 39, 4741–4755. [Google Scholar] [CrossRef] [PubMed]
  26. Mydlarz, W.K.; Hennessey, P.T.; Wang, H.; Carvalho, A.L.; Califano, J.A. Serum biomarkers for detection of head and neck squamous cell carcinoma. Head Neck 2016, 38, 9–14. [Google Scholar] [CrossRef] [PubMed]
  27. Lim, Y.; Wan, Y.; Vagenas, D.; Ovchinnikov, D.A.; Perry, C.F.; Davis, M.J.; Punyadeera, C. Salivary DNA methylation panel to diagnose HPV-positive and HPV-negative head and neck cancers. BMC Cancer 2016, 16, 749. [Google Scholar] [CrossRef]
  28. Pall, A.H.; Jakobsen, K.K.; Grønhøj, C.; von Buchwald, C. Circulating tumour DNA alterations as biomarkers for head and neck cancer: A systematic review. Acta Oncol. 2020, 59, 845–850. [Google Scholar] [CrossRef]
  29. Tian, F.; Yip, S.P.; Kwong, D.L.W.; Lin, Z.; Yang, Z.; Wu, V.W.C. Promoter hypermethylation of tumor suppressor genes in serum as potential biomarker for the diagnosis of nasopharyngeal carcinoma. Cancer Epidemiol. 2013, 37, 708–713. [Google Scholar] [CrossRef]
  30. Yang, X.; Dai, W.; Kwong, D.L.w.; Szeto, C.Y.; Wong, E.H.w.; Ng, W.T.; Lee, A.W.; Ngan, R.K.; Yau, C.C.; Tung, S.Y. Epigenetic markers for noninvasive early detection of nasopharyngeal carcinoma by methylation-sensitive high resolution melting. Int. J. Cancer 2015, 136, E127–E135. [Google Scholar] [CrossRef]
  31. Wong, T.-S.; Kwong, D.L.-W.; Sham, J.S.-T.; Wei, W.I.; Kwong, Y.-L.; Yuen, A.P.-W. Quantitative plasma hypermethylated DNA markers of undifferentiated nasopharyngeal carcinoma. Clin. Cancer Res. 2004, 10, 2401–2406. [Google Scholar] [CrossRef]
  32. Tan, R.; Phua, S.K.A.; Soong, Y.L.; Oon, L.L.E.; Chan, K.S.; Lucky, S.S.; Mong, J.; Tan, M.H.; Lim, C.M. Clinical utility of Epstein-Barr virus DNA and other liquid biopsy markers in nasopharyngeal carcinoma. Cancer Commun. 2020, 40, 564–585. [Google Scholar] [CrossRef] [PubMed]
  33. Chatterjee, K.; Mal, S.; Ghosh, M.; Chattopadhyay, N.R.; Roy, S.D.; Chakraborty, K.; Mukherjee, S.; Aier, M.; Choudhuri, T. Blood-based DNA methylation in advanced Nasopharyngeal Carcinoma exhibited distinct CpG methylation signature. Sci. Rep. 2023, 13, 22086. [Google Scholar] [CrossRef] [PubMed]
  34. Russell, J.S.; Kerrigan, K.C.; Yang, D. Circulating tumor DNA profiling and serial analysis in salivary gland carcinomas reveal unique mutational subsets and actionable alterations. J. Clin. Oncol. 2022, 40, 6097. [Google Scholar] [CrossRef]
  35. Metcalf, R.; Mohan, S.; Hilton, S.; Pierce, J.; Hudson, J.; Betts, G.; Chaturvedi, A.; Homer, J.; Leong, H.; Schofield, P. The application of liquid biopsies in metastatic salivary gland cancer to identify candidate therapeutic targets. Ann. Oncol. 2017, 28, vii8. [Google Scholar] [CrossRef]
  36. Cabezas-Camarero, S.; de la Orden García, V.; García-Barberán, V.; Mediero-Valeros, B.; Subhi-Issa, A.I.; Llovet García, P.; Bando-Polaino, I.; Merino Menéndez, S.; Pérez-Segura, P.; Díaz-Rubio, E. Nasoethmoidal intestinal-type adenocarcinoma treated with cetuximab: Role of liquid biopsy and BEAMing in predicting response to anti-epidermal growth factor receptor therapy. Oncologist 2019, 24, 293–300. [Google Scholar] [CrossRef]
  37. Freiberger, S.N.; Turko, P.; Hüllner, M.; Dummer, R.; Morand, G.B.; Levesque, M.P.; Holzmann, D.; Rupp, N.J. Who’s driving? Switch of drivers in immunotherapy-treated progressing sinonasal melanoma. Cancers 2021, 13, 2725. [Google Scholar] [CrossRef]
  38. Tarasova, V.D.; Tsai, J.; Masannat, J.; Hernandez Prera, J.C.; Hallanger Johnson, J.; Veloski, C.; Agosto Salgado, S.; McIver, B.; Drusbosky, L.M.; Chung, C.H. Characterization of the Thyroid Cancer Genomic Landscape by Plasma-Based Circulating Tumor DNA Next-Generation Sequencing. Thyroid 2024, 34, 197–205. [Google Scholar] [CrossRef]
  39. Wang, W.; Zheng, Z.; Lei, J. CTC, ctDNA, and exosome in thyroid cancers: A review. Int. J. Mol. Sci. 2023, 24, 13767. [Google Scholar] [CrossRef]
  40. Sandulache, V.C.; Williams, M.D.; Lai, S.Y.; Lu, C.; William, W.N.; Busaidy, N.L.; Cote, G.J.; Singh, R.R.; Luthra, R.; Cabanillas, M.E. Real-time genomic characterization utilizing circulating cell-free DNA in patients with anaplastic thyroid carcinoma. Thyroid 2017, 27, 81–87. [Google Scholar] [CrossRef]
  41. Lee, T.H.; Jeon, H.J.; Choi, J.H.; Kim, Y.J.; Hwangbo, P.-N.; Park, H.S.; Son, C.Y.; Choi, H.-G.; Kim, H.N.; Chang, J.W. A high-sensitivity cfDNA capture enables to detect the BRAF V600E mutation in papillary thyroid carcinoma. Korean J. Chem. Eng. 2023, 40, 429–435. [Google Scholar] [CrossRef]
  42. Almubarak, H.; Qassem, E.; Alghofaili, L.; Alzahrani, A.S.; Karakas, B. Non-invasive molecular detection of minimal residual disease in papillary thyroid cancer patients. Front. Oncol. 2020, 9, 1510. [Google Scholar] [CrossRef] [PubMed]
  43. Khatami, F.; Larijani, B.; Heshmat, R.; Nasiri, S.; Haddadi-Aghdam, M.; Teimoori-Toolabi, L.; Tavangar, S.M. Hypermethylated RASSF1 and SLC5A8 promoters alongside BRAFV600E mutation as biomarkers for papillary thyroid carcinoma. J. Cell. Physiol. 2020, 235, 6954–6968. [Google Scholar] [CrossRef] [PubMed]
  44. Wei, J.; Wang, Y.; Gao, J.; Li, Z.; Pang, R.; Zhai, T.; Ma, Y.; Wang, Z.; Meng, X. Detection of BRAFV600E mutation of thyroid cancer in circulating tumor DNA by an electrochemical-enrichment assisted ARMS-qPCR assay. Microchem. J. 2022, 179, 107452. [Google Scholar] [CrossRef]
  45. Ciampi, R.; Romei, C.; Ramone, T.; Matrone, A.; Prete, A.; Gambale, C.; Materazzi, G.; De Napoli, L.; Torregrossa, L.; Basolo, F. Pre-and post-operative circulating tumoral DNA in patients with medullary thyroid carcinoma. J. Clin. Endocrinol. Metab. 2022, 107, e3420–e3427. [Google Scholar] [CrossRef] [PubMed]
  46. Santos, V.; Freitas, C.; Fernandes, M.G.; Sousa, C.; Reboredo, C.; Cruz-Martins, N.; Mosquera, J.; Hespanhol, V.; Campelo, R. Liquid biopsy: The value of different bodily fluids. Biomark. Med. 2022, 16, 127–145. [Google Scholar] [CrossRef]
  47. Pantel, K.; Alix-Panabières, C. Circulating tumour cells in cancer patients: Challenges and perspectives. Trends Mol. Med. 2010, 16, 398–406. [Google Scholar] [CrossRef]
  48. Schwarzenbach, H.; Hoon, D.S.; Pantel, K. Cell-free nucleic acids as biomarkers in cancer patients. Nat. Rev. Cancer 2011, 11, 426–437. [Google Scholar] [CrossRef]
  49. Alix-Panabières, C.; Pantel, K. Liquid biopsy: From discovery to clinical application. Cancer Discov. 2021, 11, 858–873. [Google Scholar] [CrossRef]
  50. Schmidt, H.; Kulasinghe, A.; Perry, C.; Nelson, C.; Punyadeera, C. A liquid biopsy for head and neck cancers. Expert Rev. Mol. Diagn. 2016, 16, 165–172. [Google Scholar] [CrossRef]
  51. Schmidt, H.; Kulasinghe, A.; Kenny, L.; Punyadeera, C. The development of a liquid biopsy for head and neck cancers. Oral Oncol. 2016, 61, 8–11. [Google Scholar] [CrossRef]
  52. Spector, M.E.; Farlow, J.L.; Haring, C.T.; Brenner, J.C.; Birkeland, A.C. The potential for liquid biopsies in head and neck cancer. Discov. Med. 2018, 25, 251. [Google Scholar] [PubMed]
  53. Hsu, C.-L.; Chang, Y.-S.; Li, H.-P. Molecular Diagnosis of Nasopharyngeal Carcinoma: Past and Future. Biomed. J. 2024, 23, 100748. [Google Scholar] [CrossRef] [PubMed]
  54. Jakimovska, F.; Stojkovski, I.; Kjosevska, E. Nasal Cavity and Paranasal Sinus Cancer: Diagnosis and Treatment. Curr. Oncol. Rep. 2024, 2024, 1–13. [Google Scholar] [CrossRef]
  55. Nikanjam, M.; Kato, S.; Kurzrock, R. Liquid biopsy: Current technology and clinical applications. J. Hematol. Oncol. 2022, 15, 131. [Google Scholar] [CrossRef]
  56. Kong, L.; Birkeland, A.C. Liquid biopsies in head and neck cancer: Current state and future challenges. Cancers 2021, 13, 1874. [Google Scholar] [CrossRef]
  57. Patel, A.; Patel, S.; Patel, P.; Tanavde, V. Saliva based liquid biopsies in head and neck cancer: How far are we from the clinic? Front. Oncol. 2022, 12, 828434. [Google Scholar] [CrossRef]
  58. Mishra, V.; Singh, A.; Chen, X.; Rosenberg, A.J.; Pearson, A.T.; Zhavoronkov, A.; Savage, P.A.; Lingen, M.W.; Agrawal, N.; Izumchenko, E. Application of liquid biopsy as multi-functional biomarkers in head and neck cancer. Br. J. Cancer 2022, 126, 361–370. [Google Scholar] [CrossRef]
  59. Cabezas-Camarero, S.; Pérez-Segura, P. Liquid biopsy in head and neck cancer: Current evidence and future perspective on squamous cell, salivary gland, paranasal sinus and nasopharyngeal cancers. Cancers 2022, 14, 2858. [Google Scholar] [CrossRef]
  60. Rutkowski, T.W.; Mazurek, A.M.; Śnietura, M.; Hejduk, B.; Jędrzejewska, M.; Bobek-Billewicz, B.; d’Amico, A.; Pigłowski, W.; Wygoda, A.; Składowski, K.; et al. Circulating HPV16 DNA may complement imaging assessment of early treatment efficacy in patients with HPV-positive oropharyngeal cancer. J. Transl. Med. 2020, 18, 167. [Google Scholar] [CrossRef]
  61. Lele, S.J.; Adilbay, D.; Lewis, E.; Pang, J.; Asarkar, A.A.; Nathan, C.A.O. ctDNA as an Adjunct to Posttreatment PET for Head and Neck Cancer Recurrence Risk. JAMA Otolaryngol.-Head Neck Surg. 2024, 171, 439–444. [Google Scholar] [CrossRef]
  62. Chen, M.; Zhao, H. Next-generation sequencing in liquid biopsy: Cancer screening and early detection. Hum. Genom. 2019, 13, 34. [Google Scholar] [CrossRef] [PubMed]
  63. Ferrandino, R.M.; Chen, S.; Kappauf, C.; Barlow, J.; Gold, B.S.; Berger, M.H.; Westra, W.H.; Teng, M.S.; Khan, M.N.; Posner, M.R.; et al. Performance of Liquid Biopsy for Diagnosis and Surveillance of Human Papillomavirus-Associated Oropharyngeal Cancer. JAMA Otolaryngol.-Head Neck Surg. 2023, 149, 971–977. [Google Scholar] [CrossRef] [PubMed]
  64. Mattox, A.K.; D’Souza, G.; Khan, Z.; Allen, H.; Henson, S.; Seiwert, T.Y.; Koch, W.; Pardoll, D.M.; Fakhry, C. Comparison of next generation sequencing, droplet digital PCR, and quantitative real-time PCR for the earlier detection and quantification of HPV in HPV-positive oropharyngeal cancer. Oral Oncol. 2022, 128, 105805. [Google Scholar] [CrossRef] [PubMed]
  65. Siravegna, G.; O’Boyle, C.J.; Varmeh, S.; Queenan, N.; Michel, A.; Stein, J.; Thierauf, J.; Sadow, P.M.; Faquin, W.C.; Perry, S.K. Cell-free HPV DNA provides an accurate and rapid diagnosis of HPV-associated head and neck cancer. Clin. Cancer Res. 2022, 28, 719–727. [Google Scholar] [CrossRef]
  66. Chera, B.S.; Kumar, S.; Beaty, B.T.; Marron, D.; Jefferys, S.; Green, R.; Goldman, E.C.; Amdur, R.; Sheets, N.; Dagan, R. Rapid clearance profile of plasma circulating tumor HPV type 16 DNA during chemoradiotherapy correlates with disease control in HPV-associated oropharyngeal cancer. Clin. Cancer Res. 2019, 25, 4682–4690. [Google Scholar] [CrossRef]
  67. Damerla, R.R.; Lee, N.Y.; You, D.; Soni, R.; Shah, R.; Reyngold, M.; Katabi, N.; Wu, V.; McBride, S.M.; Tsai, C.J. Detection of early human papillomavirus–associated cancers by liquid biopsy. JCO Precis. Oncol. 2019, 3, 1–17. [Google Scholar] [CrossRef]
  68. Chan, K.A.; Woo, J.K.; King, A.; Zee, B.C.; Lam, W.J.; Chan, S.L.; Chu, S.W.; Mak, C.; Tse, I.O.; Leung, S.Y. Analysis of plasma Epstein–Barr virus DNA to screen for nasopharyngeal cancer. N. Engl. J. Med. 2017, 377, 513–522. [Google Scholar] [CrossRef]
  69. Ahn, S.M.; Chan, J.Y.; Zhang, Z.; Wang, H.; Khan, Z.; Bishop, J.A.; Westra, W.; Koch, W.M.; Califano, J.A. Saliva and plasma quantitative polymerase chain reaction–based detection and surveillance of human papillomavirus–related head and neck cancer. JAMA Otolaryngol.-Head Neck Surg. 2014, 140, 846–854. [Google Scholar] [CrossRef]
  70. Rapado-González, Ó.; Rodríguez-Ces, A.M.; López-López, R.; Suárez-Cunqueiro, M.M. Liquid biopsies based on cell-free DNA as a potential biomarker in head and neck cancer. Jpn. Dent. Sci. Rev. 2023, 59, 289–302. [Google Scholar] [CrossRef]
  71. 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. Prim. 2020, 6, 92. [Google Scholar] [CrossRef]
  72. Marur, S.; Forastiere, A.A. Head and neck squamous cell carcinoma: Update on epidemiology, diagnosis, and treatment. Mayo Clin. Proc. 2016, 91, 386–396. [Google Scholar] [CrossRef] [PubMed]
  73. Pannone, G.; Santoro, A.; Papagerakis, S.; Lo Muzio, L.; De Rosa, G.; Bufo, P. The role of human papillomavirus in the pathogenesis of head & neck squamous cell carcinoma: An overview. Infect. Agents Cancer 2011, 6, 4. [Google Scholar]
  74. Economopoulou, P.; Kotsantis, I.; Kyrodimos, E.; Lianidou, E.; Psyrri, A. Liquid biopsy: An emerging prognostic and predictive tool in head and neck squamous cell carcinoma (HNSCC). Focus on circulating tumor cells (CTCs). Oral Oncol. 2017, 74, 83–89. [Google Scholar] [CrossRef] [PubMed]
  75. Payne, K.; Spruce, R.; Beggs, A.; Sharma, N.; Kong, A.; Martin, T.; Parmar, S.; Praveen, P.; Nankivell, P.; Mehanna, H. Circulating tumor DNA as a biomarker and liquid biopsy in head and neck squamous cell carcinoma. Head Neck 2018, 40, 1598–1604. [Google Scholar] [CrossRef]
  76. Payne, K.F.; Brotherwood, P.; Suriyanarayanan, H.; Brooks, J.M.; Batis, N.; Beggs, A.D.; Gendoo, D.M.; Mehanna, H.; Nankivell, P. Circulating tumour DNA detects somatic variants contributing to spatial and temporal intra-tumoural heterogeneity in head and neck squamous cell carcinoma. Front. Oncol. 2024, 14, 1374816. [Google Scholar] [CrossRef]
  77. Hudečková, M.; Koucký, V.; Rottenberg, J.; Gál, B. Gene mutations in circulating tumour DNA as a diagnostic and prognostic marker in head and neck cancer—A systematic review. Biomedicines 2021, 9, 1548. [Google Scholar] [CrossRef]
  78. Lawrence, M.S.; Sougnez, C.; Lichtenstein, L.; Cibulskis, K.; Lander, E.; Gabriel, S.B.; Getz, G.; Ally, A.; Balasundaram, M.; Birol, I.; et al. Comprehensive genomic characterization of head and neck squamous cell carcinomas. Nature 2015, 517, 576–582. [Google Scholar] [CrossRef]
  79. Agrawal, N.; Frederick, M.J.; Pickering, C.R.; Bettegowda, C.; Chang, K.; Li, R.J.; Fakhry, C.; Xie, T.-X.; Zhang, J.; Wang, J. Exome sequencing of head and neck squamous cell carcinoma reveals inactivating mutations in NOTCH1. Science 2011, 333, 1154–1157. [Google Scholar] [CrossRef]
  80. Nwachuku, K.; Johnson, D.E.; Grandis, J.R. The mutational landscape of head and neck squamous cell carcinoma: Opportunities for detection and monitoring via analysis of circulating tumor DNA. In Early Detection and Treatment of Head & Neck Cancers: Theoretical Background and Newly Emerging Research; Springer: Berlin/Heidelberg, Germany, 2021; pp. 107–122. [Google Scholar]
  81. Brauswetter, D.; Dános, K.; Gurbi, B.; Félegyházi, É.F.; Birtalan, E.; Meggyesházi, N.; Krenács, T.; Tamás, L.; Peták, I. Copy number gain of PIK3CA and MET is associated with poor prognosis in head and neck squamous cell carcinoma. Virchows Arch. 2016, 468, 579–587. [Google Scholar] [CrossRef]
  82. Kim, K.T.; Kim, B.S.; Kim, J.H. Association between FAT1 mutation and overall survival in patients with human papillomavirus–negative head and neck squamous cell carcinoma. Head Neck 2016, 38, E2021–E2029. [Google Scholar] [CrossRef]
  83. Cochicho, D.; Esteves, S.; Rito, M.; Silva, F.; Martins, L.; Montalvão, P.; Cunha, M.; Magalhães, M.; Gil da Costa, R.M.; Felix, A. PIK3CA gene mutations in HNSCC: Systematic review and correlations with HPV status and patient survival. Cancers 2022, 14, 1286. [Google Scholar] [CrossRef]
  84. Hanna, G.; Supplee, J.; Kuang, Y.; Mahmood, U.; Lau, C.; Haddad, R.; Jänne, P.; Paweletz, C. Plasma HPV cell-free DNA monitoring in advanced HPV-associated oropharyngeal cancer. Ann. Oncol. 2018, 29, 1980–1986. [Google Scholar] [CrossRef] [PubMed]
  85. Ferrier, S.T.; Tsering, T.; Sadeghi, N.; Zeitouni, A.; Burnier, J.V. Blood and saliva-derived ctDNA is a marker of residual disease after treatment and correlates with recurrence in human papillomavirus-associated head and neck cancer. Cancer Med. 2023, 12, 15777–15787. [Google Scholar] [CrossRef] [PubMed]
  86. Bhambhani, C.; Kang, Q.; Hovelson, D.H.; Sandford, E.; Olesnavich, M.; Dermody, S.M.; Wolfgang, J.; Tuck, K.L.; Brummel, C.; Bhangale, A.D. ctDNA transiting into urine is ultrashort and facilitates noninvasive liquid biopsy of HPV+ oropharyngeal cancer. JCI Insight 2024, 9, e177759. [Google Scholar] [CrossRef]
  87. Naegele, S.; Efthymiou, V.; Das, D.; Sadow, P.M.; Richmon, J.D.; Iafrate, A.J.; Faden, D.L. Detection and monitoring of circulating tumor HPV DNA in HPV-associated sinonasal and nasopharyngeal cancers. JAMA Otolaryngol.-Head Neck Surg. 2023, 149, 179–181. [Google Scholar] [CrossRef]
  88. Chantre-Justino, M.; Alves, G.; Delmonico, L. Clinical applications of liquid biopsy in HPV-negative and HPV-positive head and neck squamous cell carcinoma: Advances and challenges. Explor. Target. Anti-Tumor Ther. 2022, 3, 533. [Google Scholar] [CrossRef]
  89. Chen, Y.-P.; Chan, A.T.; Le, Q.-T.; Blanchard, P.; Sun, Y.; Ma, J. Nasopharyngeal carcinoma. Lancet 2019, 394, 64–80. [Google Scholar] [CrossRef]
  90. Tsao, S.W.; Yip, Y.L.; Tsang, C.M.; Pang, P.S.; Lau, V.M.Y.; Zhang, G.; Lo, K.W. Etiological factors of nasopharyngeal carcinoma. Oral Oncol. 2014, 50, 330–338. [Google Scholar] [CrossRef]
  91. Lee, H.M.; Okuda, K.S.; González, F.E.; Patel, V. Current perspectives on nasopharyngeal carcinoma. In Human Cell Transformation—Advances in Cell Models for the Study of Cancer and Aging; Springer: Berlin/Heidelberg, Germany, 2019; pp. 11–34. [Google Scholar]
  92. Su, Z.Y.; Siak, P.Y.; Lwin, Y.Y.; Cheah, S.-C. Epidemiology of nasopharyngeal carcinoma: Current insights and future outlook. Cancer Metastasis Rev. 2024, 43, 919–939. [Google Scholar] [CrossRef]
  93. Lo, Y.D.; Chan, L.Y.; Lo, K.-W.; Leung, S.-F.; Zhang, J.; Chan, A.T.; Lee, J.C.; Hjelm, N.M.; Johnson, P.J.; Huang, D.P. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res. 1999, 59, 1188–1191. [Google Scholar]
  94. Peng, L.; Yang, Y.; Guo, R.; Mao, Y.P.; Xu, C.; Chen, Y.P.; Sun, Y.; Ma, J.; Tang, L.L. Relationship between pretreatment concentration of plasma Epstein-Barr virus DNA and tumor burden in nasopharyngeal carcinoma: An updated interpretation. Cancer Med. 2018, 7, 5988–5998. [Google Scholar] [CrossRef]
  95. Lv, J.; Wu, C.; Li, J.; Chen, F.; He, S.; He, Q.; Zhou, G.; Ma, J.; Sun, Y.; Wei, D. Improving on-treatment risk stratification of cancer patients with refined response classification and integration of circulating tumor DNA kinetics. BMC Med. 2022, 20, 268. [Google Scholar] [CrossRef]
  96. Lam, W.J.; Jiang, P.; Chan, K.A.; Cheng, S.H.; Zhang, H.; Peng, W.; Tse, O.O.; Tong, Y.K.; Gai, W.; Zee, B.C. Sequencing-based counting and size profiling of plasma Epstein–Barr virus DNA enhance population screening of nasopharyngeal carcinoma. Proc. Natl. Acad. Sci. USA 2018, 115, E5115–E5124. [Google Scholar] [CrossRef]
  97. Nicholls, J.M.; Lee, V.H.-F.; Chan, S.-K.; Tsang, K.-C.; Choi, C.-W.; Kwong, D.L.-W.; Lam, K.-O.; Chan, S.-Y.; Tong, C.-C.; So, T.-H. Negative plasma Epstein-Barr virus DNA nasopharyngeal carcinoma in an endemic region and its influence on liquid biopsy screening programmes. Br. J. Cancer 2019, 121, 690–698. [Google Scholar] [CrossRef]
  98. Zheng, X.H.; Deng, C.M.; Zhou, T.; Li, X.Z.; Tang, C.L.; Jiang, C.T.; Liao, Y.; Wang, T.M.; He, Y.Q.; Jia, W.H. Saliva biopsy: Detecting the difference of EBV DNA methylation in the diagnosis of nasopharyngeal carcinoma. Int. J. Cancer 2023, 153, 882–892. [Google Scholar] [CrossRef]
  99. Liu, T.; Liu, J.; Wang, G.; Chen, C.; He, L.; Wang, R.; Ouyang, C. Circulating tumor cells: A valuable indicator for locally advanced nasopharyngeal carcinoma. Eur. Arch. Oto-Rhino-Laryngol. 2024, 2024, 1–10. [Google Scholar] [CrossRef]
  100. Wu, L.; Wang, J.; Zhu, D.; Zhang, S.; Zhou, X.; Zhu, W.; Zhu, J.; He, X. Circulating Epstein-Barr virus microRNA profile reveals novel biomarker for nasopharyngeal carcinoma diagnosis. Cancer Biomark. 2020, 27, 365–375. [Google Scholar] [CrossRef]
  101. Wei, J.; Meng, X.; Wei, X.; Zhu, K.; Du, L.; Wang, H. Down-regulated lncRNA ROR in tumor-educated platelets as a liquid-biopsy biomarker for nasopharyngeal carcinoma. J. Cancer Res. Clin. Oncol. 2023, 149, 4403–4409. [Google Scholar] [CrossRef]
  102. Britze, T.E.; Jakobsen, K.K.; Grønhøj, C.; von Buchwald, C. A systematic review on the role of biomarkers in liquid biopsies and saliva samples in the monitoring of salivary gland cancer. Acta Oto-Laryngol. 2023, 143, 709–713. [Google Scholar] [CrossRef] [PubMed]
  103. Cappelletti, V.; Miodini, P.; Reduzzi, C.; Alfieri, S.; Daidone, M.; Licitra, L.; Locati, L. Tailoring treatment of salivary duct carcinoma (SDC) by liquid biopsy: ARv7 expression in circulating tumor cells. Ann. Oncol. 2018, 29, 1599–1601. [Google Scholar] [CrossRef]
  104. Fisher, B.M.; Tang, K.; Warkiani, M.; Punyadeera, C.; Batstone, M. A pilot study for presence of circulating tumour cells in adenoid cystic carcinoma. Int. J. Oral Maxillofac. Surg. 2021, 50, 994–998. [Google Scholar] [CrossRef]
  105. Bigagli, E.; Maggiore, G.; Cinci, L.; D’Ambrosio, M.; Locatello, L.G.; Nardi, C.; Palomba, A.; Leopardi, G.; Orlando, P.; Licci, G. Low levels of miR-34c in nasal washings as a candidate marker of aggressive disease in wood and leather exposed workers with sinonasal intestinal-type adenocarcinomas (ITACs). Transl. Oncol. 2022, 25, 101507. [Google Scholar] [CrossRef]
  106. Buglione, M.; Grisanti, S.; Almici, C.; Mangoni, M.; Polli, C.; Consoli, F.; Verardi, R.; Costa, L.; Paiar, F.; Pasinetti, N. Circulating tumour cells in locally advanced head and neck cancer: Preliminary report about their possible role in predicting response to non-surgical treatment and survival. Eur. J. Cancer 2012, 48, 3019–3026. [Google Scholar] [CrossRef]
  107. Zeyghami, W.; Hansen, M.-L.U.; Jakobsen, K.K.; Groenhøj, C.; Feldt-Rasmussen, U.; von Buchwald, C.; Hahn, C.H. Liquid biopsies in thyroid cancers: A systematic review and meta-analysis. Endocr. Relat. Cancer 2023, 30, e230002. [Google Scholar] [CrossRef]
  108. Porter, A.; Natsuhara, M.; Daniels, G.A.; Patel, S.P.; Sacco, A.G.; Bykowski, J.; Banks, K.C.; Cohen, E.E. Next generation sequencing of cell free circulating tumor DNA in blood samples of recurrent and metastatic head and neck cancer patients. Transl. Cancer Res. 2020, 9, 203. [Google Scholar] [CrossRef]
  109. Lanman, R.B.; Mortimer, S.A.; Zill, O.A.; Sebisanovic, D.; Lopez, R.; Blau, S.; Collisson, E.A.; Divers, S.G.; Hoon, D.S.; Kopetz, E.S. Analytical and clinical validation of a digital sequencing panel for quantitative, highly accurate evaluation of cell-free circulating tumor DNA. PLoS ONE 2015, 10, e0140712. [Google Scholar] [CrossRef]
  110. Nonaka, T.; Wong, D. Liquid biopsy in head and neck cancer: Promises and challenges. J. Dent. Res. 2018, 97, 701–708. [Google Scholar] [CrossRef]
  111. Araujo, A.L.D.; Santos-Silva, A.R.; Kowalski, L.P. Diagnostic accuracy of liquid biopsy for Oral potentially malignant disorders and head and neck cancer: An overview of systematic reviews. Curr. Oncol. Rep. 2023, 25, 279–292. [Google Scholar] [CrossRef]
  112. Whale, A.S.; Huggett, J.F.; Tzonev, S. Fundamentals of multiplexing with digital PCR. Biomol. Detect. Quantif. 2016, 10, 15–23. [Google Scholar] [CrossRef] [PubMed]
  113. Nekrutenko, A.; Taylor, J. Next-generation sequencing data interpretation: Enhancing reproducibility and accessibility. Nat. Rev. Genet. 2012, 13, 667–672. [Google Scholar] [CrossRef] [PubMed]
  114. Iacoangeli, A.; Al Khleifat, A.; Sproviero, W.; Shatunov, A.; Jones, A.; Morgan, S.; Pittman, A.; Dobson, R.; Newhouse, S.; Al-Chalabi, A. DNAscan: Personal computer compatible NGS analysis, annotation and visualisation. BMC Bioinform. 2019, 20, 213. [Google Scholar] [CrossRef] [PubMed]
  115. Schirmer, M.A.; Beck, J.; Leu, M.; Oellerich, M.; Rave-Fränk, M.; Walson, P.D.; Schütz, E.; Canis, M. Cell-free plasma DNA for disease stratification and prognosis in head and neck cancer. Clin. Chem. 2018, 64, 959–970. [Google Scholar] [CrossRef] [PubMed]
  116. Rosing, F.; Meier, M.; Schroeder, L.; Laban, S.; Hoffmann, T.; Kaufmann, A.; Siefer, O.; Wuerdemann, N.; Klußmann, J.P.; Rieckmann, T. Quantification of human papillomavirus cell-free DNA from low-volume blood plasma samples by digital PCR. Microbiol. Spectr. 2024, 12, e00024. [Google Scholar] [CrossRef] [PubMed]
  117. Zwirner, K.; Hilke, F.J.; Demidov, G.; Ossowski, S.; Gani, C.; Rieß, O.; Zips, D.; Welz, S.; Schroeder, C. Circulating cell-free DNA: A potential biomarker to differentiate inflammation and infection during radiochemotherapy. Radiother. Oncol. 2018, 129, 575–581. [Google Scholar] [CrossRef] [PubMed]
  118. Frank, M.O. Circulating cell-free DNA differentiates severity of inflammation. Biol. Res. Nurs. 2016, 18, 477–488. [Google Scholar] [CrossRef]
  119. Ma, M.; Zhu, H.; Zhang, C.; Sun, X.; Gao, X.; Chen, G. “Liquid biopsy”-ctDNA detection with great potential and challenges. Ann. Transl. Med. 2015, 3, 235. [Google Scholar] [CrossRef]
  120. Di Capua, D.; Bracken-Clarke, D.; Ronan, K.; Baird, A.-M.; Finn, S. The liquid biopsy for lung cancer: State of the art, limitations and future developments. Cancers 2021, 13, 3923. [Google Scholar] [CrossRef]
  121. Allen, T.A. The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance. Cancers 2024, 16, 1377. [Google Scholar] [CrossRef]
  122. Rossi, G.; Ignatiadis, M. Promises and pitfalls of using liquid biopsy for precision medicine. Cancer Res. 2019, 79, 2798–2804. [Google Scholar] [CrossRef]
  123. Boukovala, M.; Westphalen, C.B.; Probst, V. Liquid biopsy into the clinics: Current evidence and future perspectives. J. Liq. Biopsy 2024, 4, 100146. [Google Scholar] [CrossRef]
  124. Heidrich, I.; Ačkar, L.; Mossahebi Mohammadi, P.; Pantel, K. Liquid biopsies: Potential and challenges. Int. J. Cancer 2021, 148, 528–545. [Google Scholar] [CrossRef] [PubMed]
  125. Liu, S.-C. Circulating tumor DNA in liquid biopsy: Current diagnostic limitation. World J. Gastroenterol. 2024, 30, 2175. [Google Scholar] [CrossRef] [PubMed]
  126. Haring, C.T.; Kana, L.A.; Dermody, S.M.; Brummel, C.; McHugh, J.B.; Casper, K.A.; Chinn, S.B.; Malloy, K.M.; Mierzwa, M.; Prince, M.E. Patterns of recurrence in head and neck squamous cell carcinoma to inform personalized surveillance protocols. Cancer 2023, 129, 2817–2827. [Google Scholar] [CrossRef] [PubMed]
  127. Xie, D.X.; Kut, C.; Quon, H.; Seiwert, T.Y.; D’souza, G.; Fakhry, C. Clinical uncertainties of circulating tumor DNA in human papillomavirus–related oropharyngeal squamous cell carcinoma in the absence of National Comprehensive Cancer Network Guidelines. J. Clin. Oncol. 2023, 41, 2483. [Google Scholar] [CrossRef]
  128. Hanna, G.J.; Patel, N.; Tedla, S.G.; Baugnon, K.L.; Aiken, A.; Agrawal, N. Personalizing surveillance in head and neck cancer. Am. Soc. Clin. Oncol. Educ. Book 2023, 43, e389718. [Google Scholar] [CrossRef]
  129. Mannelli, C. Tissue vs. liquid biopsies for cancer detection: Ethical issues. J. Bioethical Inq. 2019, 16, 551–557. [Google Scholar] [CrossRef]
  130. Ignatiadis, M.; Sledge, G.W.; Jeffrey, S.S. Liquid biopsy enters the clinic—Implementation issues and future challenges. Nat. Rev. Clin. Oncol. 2021, 18, 297–312. [Google Scholar] [CrossRef]
  131. Febbo, P.G.; Allo, M.; Alme, E.B.; Cuyun Carter, G.; Dumanois, R.; Essig, A.; Kiernan, E.; Kubler, C.B.; Martin, N.; Popescu, M.C. Recommendations for the equitable and widespread implementation of liquid biopsy for cancer care. JCO Precis. Oncol. 2024, 8, e2300382. [Google Scholar] [CrossRef]
  132. Guan, J. A Bidirectional Study in Exploring the Dynamic Changes of Plasma and Urine Metabolites During the Occurrence and Development of Head and Neck Cancer in Southern China. ClinicalTrials.gov identifier: NCT05969262. 2023. Available online: https://clinicaltrials.gov/study/NCT05969262?cond=Head%20and%20Neck%20Cancer&intr=ctDNA&term=NCT05969262%20&rank=1 (accessed on 3 September 2024).
  133. Ofo, E. Liquid Biopsy for Early DiagNosis of Squamous Cell Carcinoma of the Head and Neck Region (ENHANCE Study). ClinicalTrials.gov Identifier: NCT05645783. 2023. Available online: https://clinicaltrials.gov/study/NCT05645783?term=NCT05645783%20&rank=1 (accessed on 3 September 2024).
  134. Pilka, R. Liquid Biopsies—A Possible Tool for Treatment Monitoring and Early Recurrence Detection in HPV-associated Diseases. ClinicalTrials.gov Identifier: NCT05774561. 2024. Available online: https://clinicaltrials.gov/study/NCT05774561?term=NCT05774561%20&rank=1 (accessed on 3 September 2024).
  135. Guan, J. A Bidirectional Study in Exploring the Dynamic Changes of Plasma and Urine Metabolites During the Occurrence and Development of Nasopharyngeal Carcinoma in Southern China. ClinicalTrials.gov Identifier: NCT05682703. 2023. Available online: https://clinicaltrials.gov/study/NCT05682703?term=NCT05682703%20&rank=1 (accessed on 3 September 2024).
  136. Jonsson Comprehensive Cancer Centre. Isolation and Characterization of Extracellular Vesicles in Patients with Thyroid Nodules and Thyroid Cancer. ClinicalTrials.gov Identifier: NCT04742608. 2024. Available online: https://clinicaltrials.gov/study/NCT04742608?term=NCT04742608%20&rank=1 (accessed on 3 September 2024).
  137. Princess Margaret Cancer Center. Real-Time Detection of ctDNA and/or HPV DNA in High-Risk Locally-Advanced Head and Neck Squamous Cell Carcinoma (LA-HNSCC): The Pre-MERIDIAN (Molecular Residual Disease Interception in High-Risk LA-HNSCC) Study. ClinicalTrials.gov Identifier: NCT04599309. 2024. Available online: https://clinicaltrials.gov/study/NCT04599309?term=NCT04599309%20&rank=1 (accessed on 3 September 2024).
  138. Princess Margaret Cancer Center. Study of Circulating Tumor DNA (ctDNA) Kinetics in Immuno-oncology: Intense Dynamic Monitoring of ctDNA in Advanced/Metastatic Head and Neck Squamous Cell Carcinoma (HNSCC) Patients Treated with Immune Checkpoint Inhibitors. ClinicalTrials.gov Identifier: NCT04606940. 2022. Available online: https://clinicaltrials.gov/study/NCT04606940?term=NCT04606940%20&rank=1 (accessed on 3 September 2024).
  139. Pharmissist Ltd. A Clinical Performance Study to Validate the Use of Novel Molecular Diagnostic Assays for the Detection of Cancer Biomarkers in Peripheral Blood and Primary Tumor Tissue of Patients With Recurrent/Metastatic HNSCC, NSCLC or Melanoma. ClinicalTrials.gov Identifier: NCT04490564. 2023. Available online: https://clinicaltrials.gov/study/NCT04490564?term=NCT04490564%20&rank=1 (accessed on 3 September 2024).
  140. Minn, H. Genetic Profiling by Liquid Biopsy for Initial Characterization and Response Monitoring of Head and Neck Squamous Cell Carcinoma (HNSCC). ClinicalTrials.gov Identifier: NCT03926468. 2019. Available online: https://clinicaltrials.gov/study/NCT03926468?term=NCT03926468%20&rank=1 (accessed on 3 September 2024).
  141. Princess Margaret Cancer Centre. Multi-Omic Assessment of Squamous Cell Cancers Receiving Systemic Therapy. ClinicalTrials.gov Identifier: NCT03712566. 2024. Available online: https://clinicaltrials.gov/study/NCT03712566?term=NCT03712566%20&rank=1 (accessed on 3 September 2024).
  142. Grønhøj, C. Cell-Free Tumor DNAand HPV-DNA in Blood Samples From Newly Diagnosed Patients with Head and Neck Cancer. ClinicalTrial.gov Identifier: NCT03942380. 2021. Available online: https://clinicaltrials.gov/study/NCT03942380?term=NCT03942380%20&rank=1 (accessed on 3 September 2024).
  143. Wirth, M. Liquid Biopsy of Head and Neck Cancer Patients in Blood and Saliva. ClinicalTrial.gov Identifier: NCT05122507. 2023. Available online: https://clinicaltrials.gov/study/NCT05122507?term=NCT05122507%20&rank=1 (accessed on 3 September 2024).
Figure 1. Use of liquid biopsy in HNC care.
Figure 1. Use of liquid biopsy in HNC care.
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Figure 2. Reported sensitivity and specificity values of ctDNA in HNC care [41,42,44,63,64,65,66,67,68,69].
Figure 2. Reported sensitivity and specificity values of ctDNA in HNC care [41,42,44,63,64,65,66,67,68,69].
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Table 1. Identified altered genes in ctDNA by type of malignancy.
Table 1. Identified altered genes in ctDNA by type of malignancy.
Type of MalignancyIdentified Altered ctDNA Genes
Head and neck squamous cell carcinomas [22,23,24,25,26,27,28]
-
TP53
-
NOTCH1
-
CDKN2A
-
CALML5
-
DNAJC5G
-
LY6D
-
EDNRB
-
TIMP3
-
PCQAP/MED15
-
CDKN2B
-
DAPK1
-
MGMT
-
GSTP1
-
PRDM2
-
RASSF1
-
DLEC1
-
UCHL1
-
RARβ2
-
WIF1
-
DCC
-
MLH1
-
CDH1
Nasopharyngeal carcinoma [29,30,31,32,33]
-
RASSF1
-
CDKN2A
-
CDKN2B
-
DLEC1
-
DAPK1
-
UCHL1
-
WIF1
-
RARβ2
-
CDH1
-
PLCB3
-
C18orf1
-
ZNF516
-
FGR
-
PLCB3
-
PRKCZ
-
KDM4B
-
HLX
-
MGRN1
-
UHRF1
-
SPI1
-
PLEC1
-
MPO
-
ADRBK1
-
COL11A2
-
MLLT1
-
FUT4
-
MBP
-
FLNB
-
SMTN
-
KCNT1
-
APEH
-
HLA-DRB5
Salivary gland carcinomas [34,35]
-
TP53
-
PIK3CA
-
ERBB2
-
ATM
-
EGFR
-
HRAS
-
BRAF
-
KRAS
-
CDK6
Sinonasal carcinomas [36,37]
-
KRAS
-
NRAS
Thyroid carcinomas [38,39,40,41,42,43,44,45]
-
TP53
-
BRAF
-
RAS
-
RET
-
ALK
-
NTRK
-
PIK3CA
-
PTEN
-
RASSF1
-
SLC5A8
Table 2. Current standards for the diagnosis of head and neck cancers.
Table 2. Current standards for the diagnosis of head and neck cancers.
Type of MalignancyDiagnostic Standard
Head and neck squamous cell carcinomas [51]
-
Imaging
-
Endoscopy
-
Primary tumor biopsy and histological analysis
-
FNA with ultrasound guidance in hard-to-access areas
Nasopharyngeal carcinoma [53]
-
Primary tumor biopsy with assistance via nasal endoscopy
-
Imaging
Salivary gland carcinomas
-
FNA and cytological analysis; if unclear, immunohistology of excised tumor tissue can establish diagnosis
Sinonasal carcinomas [54]
-
Imaging with both CT and MRI
-
Endoscopy
-
Primary tumor biopsy
-
“Metabolic biopsy” via 18 F-FDG PET/CT
Thyroid carcinomas [39]
-
FNA with ultrasound guidance
Table 3. Studies examining clinical applications of liquid biopsy assays in HNC care.
Table 3. Studies examining clinical applications of liquid biopsy assays in HNC care.
StudyAimType of CancerSample SizeMethod and Sample UsedSensitivity of Liquid Biopsy TechniqueSpecificity of Liquid Biopsy TechniqueMethod Compared toConclusionsLimitations
Ferrandino et al. (2023) [63]Determining performance metrics of ctHPVDNA in the diagnosis of oropharyngeal SCCOropharyngeal SCC163; 152 with HPV-positive SCC and 11 with HPV-negative SCCTTMV-HPV DNA testing; plasma 91.5%100%Using tumor samples, p16 staining confirmed diagnosis in 98.7% of patients, HPV PCR in 75%, and in situ hybridization assays in 10.5%Approximately 1 in 10 false negatives will result; ctHPVDNA assays should be used in conjunction with other testsAscertainment bias as patients were known to have HPV-positive oropharyngeal SCC
Determining performance metrics of ctHPVDNA in the detection of recurrence of HPV-positive oropharyngeal SCC at 3 months post treatment completionHPV-positive oropharyngeal SCC290TTMV-HPV DNA testing; plasma 88.4%100%Using tumor samples, p16 staining confirmed diagnosis in 95.5% of patients, HPV PCR in 84.8%, and in situ hybridization assays in 4.8%Prospective study where most patients did not have pretreatment ctHPVDNA measurements available; conservative definition of false-negative recurrence at 3-month follow-up potentially lowered the calculated sensitivity of the assay
Lee et al. (2023) [41]Detecting multifocality of papillary thyroid carcinoma (PTC)PTC37PDA/
SiO2-coated bead cfDNA detection assay; serum
100%89.3%Free T4 had a sensitivity of 33.3% and specificity of 82.1%; TSH had a sensitivity of 66.7% and specificity of 60.7%; Tg had a sensitivity of 11.1% and specificity of 64.3%; TgAb had a sensitivity of 33.3% and specificity of 82.1% PDA/SiO2-coated bead liquid biopsy assays effectively capture ctDNA that can permit analysis of multiple mutations associated with PTCSmall sample size, no control subjects
Mattox et al. (2022) [64]Comparing sensitivity of NGS, ddPCR, and qPCR assays in the detection of ctHPVDNA in plasma and oral rinse samplesHPV-16-positive oropharyngeal SCC66NGS; plasma 68.3%Not reportedCompared qPCR, ddPCR, and NGS sensitivity values for analysis of plasma and oral rinse samplesNGS and ddPCR have significantly higher sensitivity values for the detection of ctHPVDNA in plasma samples compared to qPCR, while NGS has a significantly higher sensitivity value for the detection of ctHPVDNA in oral rinse samples compared to ddPCR and qPCR. Levels of ctHPVDNA detected by NGS in plasma samples may reflect the clinical course of patients with HPV-positive oropharyngeal SCCSmall sample size, no control subjects
ddPCR; plasma 69.8%
qPCR; plasma 20.6%
NGS; oral rinse 75%
ddPCR; oral rinse 8.3%
qPCR; oral rinse 2.1%
Siravegna et al. (2022) [65]Comparing effectiveness of a non-invasive diagnostic approach using ctHPVDNA liquid biopsy and imaging/physical exam to a standard diagnostic clinical workup with tumor biopsyHPV-positive HNSCC (oropharyngeal, nasopharyngeal, and sinonasal SCCs)131, 61 patients with HPV-positive HNSCC, 45 controls with HPV-negative HNSCC, and 25 healthy controlsddPCR; plasma 98.4%98.6%Standard clinical workup with tumor biopsyNon-invasive techniques with liquid biopsy were significantly more effective in diagnosing HPV-positive HNSCC compared to the current standard of care with tumor biopsy (Youden index of 0.937 vs. 0.070)Selection and information biases due to observational study design, lack of details present in referenced outside medical records
Wei et al. (2022) [44]Testing the effectiveness of EC-ARMS-qPCR assay in the detection of BRAFV600E mutation in ctDNA from plasma samples of patients with PTCPTC74; 54 patients with PTC and 20 patients with benign thyroid nodulesEC-ARMS-qPCR assay; plasma68.42%85.71%EC-ARMS-qPCR assay using FNA samples (concordance of 73.08%)EC-ARMS-qPCR assay can detect BRAFV600E ctDNA mutations in plasma samples and is in good concordance with test results of EC-ARMS-qPCR assay performed using FNA tissue samplesSmall sample size, case–control design, only 26 patients (22 with PTC, 4 with benign thyroid nodules) underwent FNA for comparison
Almubarak et al. (2020) [42]Assessing the use of liquid biopsy to detect BRAFV600E mutations in plasma ctDNA of patients with PTC for monitoring of minimal residual tumor presencePTC383D digital PCR; plasma86%90%Serum Tg (sensitivity of 78%, sensitivity of 65%)The 3D digital PCR plasma assay using ctDNA had greater sensitivity and specificity for detecting minimal residual PTC tumors than serum Tg levels. The use of both techniques in conjunction could further increase sensitivity and specificity valuesSmall sample size
Chera et al. (2019) [66]Determining performance metrics of ddPCR in diagnosing non-metastatic HPV-positive oropharyngeal SCC and testing for disease control in patients post chemoradiotherapy using blood plasma ctDNAHPV-positive oropharyngeal SCC103ddPCR; plasma89%97%Did not have a method to compare to; patients were eligible if they had their diagnoses confirmed by tumor biopsyctHPVDNA is detectable in patients with newly diagnosed HPV-positive oropharyngeal SCC and liquid biopsy assays quantifying plasma ctHPVDNA levels can stratify patients by risk in the post-treatment periodLow power due to low rates of disease persistence, disease recurrence, and patient follow-up
Damerla et al. (2019) [67]Assess effectiveness of ddPCR using plasma ctHPVDNA in the detection of early-stage HPV-associated SCCHPV-positive oropharyngeal SCC132; 97 patients with HPV-positive oropharyngeal SCC, 8 patients with HPV-positive anal SCC, 7 controls with HPV-negative oropharyngeal SCC, and 20 healthy controls without cancerddPCR; plasma95.6% (only accounting for oropharyngeal SCC patients)100% (only accounting for oropharyngeal SCC patients)p16 immunohistochemistry assays and HPV DNA or RNA in situ hybridization assays using tumor tissue (sensitivity and specificity values not reported)ctHPVDNA has high sensitivity and specificity for the detection of intact HPV-positive tumors, even in patients with low tumor burden. This implies clinical utility in screening and treatment response monitoringDid not genotype all pathological specimens to identify specific HPV subtype, patients with low tumor burden had locoregional disease with potential micrometastatic lesions and thus may not be representative of all patients with early subclinical disease
Chan et al. (2017) [68]Determining utility of screening for nasopharyngeal carcinoma (NPC) using EBV DNA in the plasma of asymptomatic patientsNPC20,174qPCR; plasma97.1%98.6%No screening; diagnosis per standard of care using endoscopy and MRI. Screening cohort had a significantly higher proportion of stage I and II disease (71% vs. 20%) and significantly greater rates of 3-year progression-free survival (97% vs. 70%) Screening asymptomatic individuals for NPC using EBV DNA plasma levels is associated with earlier diagnosis and better outcomes compared to individuals not undergoing screeningSampling bias as participants were ethnically Chinese men aged 40 to 62 in Hong Kong, where NPC is endemic
Ahn et al. (2014) [69]Determining effectiveness of liquid biopsy assays using ctHPVDNA from plasma and oral rinses in detecting oropharyngeal SCC prior to beginning treatmentOropharyngeal SCC93; 81 patients with HPV-16 positive SCC and 12 with HPV-16 negative SCCqPCR; plasma and oral rinses76.1% (combined plasma and oral rinse sample results)100% (combined plasma and oral rinse sample results)Compared use of oral rinse samples and plasma samples to one another in effectiveness of corroborating HPV status of tumor biopsyUsing combination of findings from assays analyzing plasma and oral rinse samples increases the sensitivity of HPV-16 liquid biopsy assays in the screening for HPV-positive oropharyngeal SCC compared to use of either sample type alone. Liquid biopsy assays using these samples provide valuable prognostic information on recurrence free survival and overall survivalSmall sample size, retrospective design
Determining effectiveness of liquid biopsy assays using ctHPVDNA from plasma and oral rinses in predicting 3-year recurrence of oropharyngeal SCC90.7% (combined plasma and oral rinse sample results)69.5% (combined plasma and oral rinse sample results)
Table 4. Clinical trials examining liquid biopsy use in HNC *.
Table 4. Clinical trials examining liquid biopsy use in HNC *.
ClinicalTrials.gov Study IDAimStudy DesignType of HNCSample SizeSamples UsedEnrollment StatusYear of Study Start DateEstimated Year of Study Completion
NCT05969262 [132]Development of early intervention, detection, and treatment strategies for HNCs using combined proteomic and liquid biopsy techniques for analysis of patient plasma and urine samplesMixed methods study utilizing a retrospective cohort and prospective cohortHNCs; histopathological and anatomical subtypes not specified500; 250 in the retrospective cohort (125 HNC patients, 125 healthy controls) and 250 in the prospective cohort (125 HNC patients, 125 healthy controls)Plasma and urineRecruiting20232025
NCT05645783 [133]Determining the sensitivity and specificity of a NGS liquid biopsy assay in detecting HNSCC in high-risk patients with head and neck lesionsProspective observational studyHNSCC170BloodRecruiting20232024
NCT05774561 [134]Evaluate use of liquid biopsy in risk stratification of patients with HPV-positive HNC and cervical cancer according to disease recurrence Mixed methods study utilizing retrospective and prospective designs; prospective portion includes newly diagnosed patients and retrospective portion includes patients post-treatment follow-upHPV-positive oropharyngeal carcinoma480; 200 patients with oropharyngeal cancer and 280 patients with cervical cancer or high-grade cervical intraepithelial lesionsOropharyngeal swabs, oral rinses, exhaled breath condensate, and bloodRecruiting20222026
NCT05682703 [135]Examining changes in plasma and urine metabolites of patients with NPC at different points in the disease and treatment courseObservational cohort studyNPC2000Plasma and urineRecruiting20222025
NCT04742608 [136]Determining the sensitivity and specificity of extracellular vesicles liquid biopsy techniques in the diagnosis of thyroid cancerProspective cohort studyThyroid cancer; histopathological subtype not specified250BloodSuspended20202026
NCT04599309 [137]Comparing ctDNA and/or ctHPVDNA levels in blood samples of patients with locally advanced HNSCC before and after undergoing standard treatmentProspective cohort studyLocally advanced stage III/IV HNSCC35BloodActive, not recruiting20202024
NCT04606940 [138]Characterizing the levels of ctDNA in blood samples of patients with recurrent or metastatic HNSCC following the first dose of anti-PD1 antibody immune checkpoint inhibitor therapyProspective cohort studyHNSCC18BloodCompleted20202021
NCT04490564 [139]Establishing performance metrics for liquid biopsy assay that detects PD-L1 expression by CTCs in peripheral blood samples of patients with metastatic/recurrent HNSCC, Non-Small Cell Lung Cancer, or metastatic melanomaProspective cohort studyHNSCC155; 25 patients with metastatic/recurrent HNSCC, 120 patients with Non-Small Cell Lung Cancer, 10 patients with metastatic melanoma, and 30 healthy controlsPlasmaActive, not recruiting20192023
NCT03926468 [140]Determining diagnostic performance of ddPCR assay measuring ctDNA in peripheral blood samples of patients with stage III/IV HNSCC at baseline and 3 months after completing treatmentProspective cohort studyStage III/IV HNSCC30BloodUnknown status20192022
NCT03712566 [141]Serially characterizing the changes in genomic, epigenetic, and immune profiling attributes of peripheral blood samples obtained from patients with recurrent or metastatic SCC of the head and neck, esophagus, or anus who are undergoing treatment with platinum-based chemotherapy or immunotherapyProspective cohort studyRecurrent or metastatic HNSCC39BloodActive, not recruiting20182024
NCT03942380 [142]Testing if liquid biopsy assays using ctDNA, ctHPVDNA, or ctRNA in blood samples of patients can detect newly diagnosed or recurrent HNSCC Interventional, non-randomized studyHNSCC500BloodRecruiting20172025
NCT05122507 [143]Evaluating the use of NGS, ELISA, and PCR assays in monitoring tumor-associated nucleic acids and protein biomarkers to assess patient response to treatment, early detection of recurrence, and overall prognosis Prospective cohort studyHNSCC200Plasma, serum, and salivaRecruiting20172023
* Results were not made available.
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MDPI and ACS Style

Nassar, S.I.; Suk, A.; Nguyen, S.A.; Adilbay, D.; Pang, J.; Nathan, C.-A.O. The Role of ctDNA and Liquid Biopsy in the Diagnosis and Monitoring of Head and Neck Cancer: Towards Precision Medicine. Cancers 2024, 16, 3129. https://doi.org/10.3390/cancers16183129

AMA Style

Nassar SI, Suk A, Nguyen SA, Adilbay D, Pang J, Nathan C-AO. The Role of ctDNA and Liquid Biopsy in the Diagnosis and Monitoring of Head and Neck Cancer: Towards Precision Medicine. Cancers. 2024; 16(18):3129. https://doi.org/10.3390/cancers16183129

Chicago/Turabian Style

Nassar, Sami I., Amber Suk, Shaun A. Nguyen, Dauren Adilbay, John Pang, and Cherie-Ann O. Nathan. 2024. "The Role of ctDNA and Liquid Biopsy in the Diagnosis and Monitoring of Head and Neck Cancer: Towards Precision Medicine" Cancers 16, no. 18: 3129. https://doi.org/10.3390/cancers16183129

APA Style

Nassar, S. I., Suk, A., Nguyen, S. A., Adilbay, D., Pang, J., & Nathan, C. -A. O. (2024). The Role of ctDNA and Liquid Biopsy in the Diagnosis and Monitoring of Head and Neck Cancer: Towards Precision Medicine. Cancers, 16(18), 3129. https://doi.org/10.3390/cancers16183129

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