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Open AccessReview

The Activation Status of the TGF-β Transducer Smad2 Is Associated with a Reduced Survival in Gastrointestinal Cancers: A Systematic Review and Meta-Analysis

1
Department of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134 Verona, Italy
2
National Institute of Gastroenterology “S. de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy
3
The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge CB1 1PT, UK
4
Primary Care Department, Azienda USL Toscana Sud Est, 58100 Grosseto, Italy
5
Department of Diagnostics, Section of Pathology, San Bortolo Hospital, 36100 Vicenza, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2019, 20(15), 3831; https://doi.org/10.3390/ijms20153831
Received: 9 July 2019 / Revised: 31 July 2019 / Accepted: 1 August 2019 / Published: 5 August 2019
(This article belongs to the Special Issue TGF-Beta Super Family Signaling 2.0)

Abstract

Aberrant function of Smad2, a crucial member of transforming growth factor beta (TGF-β) signaling, is associated with the development of malignancies, particularly in the gastrointestinal district. However, little is known about its possible prognostic role in such tumor types. With the first meta-analysis on this topic, we demonstrated that the lack of the activated form of Smad2 (phosphor-Smad2 or pSmad2), which was meant to be the C-terminally phosphorylated form, showed a statistically significant association with an increased risk of all-cause mortality in patients with gastrointestinal cancers (RR, 1.58; 95% CI, 1.05–2.37, p = 0.029, I2 = 84%), also after having adjusted for potential confounders (RR, 1.65; 95% CI, 1.24–2.18; p < 0.001; I2 = 4%). This finding highlights the importance of the TGF-β signaling in this type of cancer. In this line, further studies are needed to explore more in depth this important molecular pathway, focusing also on potential therapeutic strategies based on its effectors or molecular targets.
Keywords: Smad2; TGF-β; pSmad2; phosphorylation; signaling Smad2; TGF-β; pSmad2; phosphorylation; signaling

1. Introduction

Transforming growth factor beta (TGF-β) signaling plays an essential role throughout development and later in adult homeostasis, interacting and coordinating different cell mechanisms. Notably, biological activities of TGF-β initiate with its binding to a heteromeric complex of two types of transmembrane receptors, namely type I and type II receptors; TGF-β occupancy induces an association between the type I and II receptors, causing the phosphorylation of the type I receptor by the constitutively active type II receptor [1,2,3,4,5,6]. The phosphorylated type I receptor then triggers activation of important cofactors, namely Smad2 and Smad3, by phosphorylating their C-terminal serine residues. Activated Smad2 and Smad3 form heteromeric complexes with Smad4 and other mediators, and translocate into the nucleus, forming a transcription complex with other cofactors, as well as participating also in the expression of target genes [1,2,3,4,5,6] (Figure 1).
Aberrant function of members of the TGF-β superfamily is associated with a wide range of human diseases, including cancer. Particularly, alterations in the activation of the protein Smad2, which is the product of the homonymous gene located on the q21.1 of the chromosome 18 (genomic location: chr18:47,808,957-47,931,193; www.genecards.org, last access 07/22/2019), appear very important in tumorigenesis [7,8,9,10,11,12].
The most important effect of TGF-β mediated by pSmad2 in cancer regards the loss of the role of tumor-suppressor, with a change to a pro-tumorigenic action for tumor progression. The pro-cancer progression consequences of aberrant TGF-β pathway signaling involves stromal remodeling, promotion of tumor cell plasticity (facilitating migration, invasion and metastasis), neo-angiogenesis and immunosuppression with loss of immunosurveillance [7,8,9,10,11,12]. pSmad2 expression is commonly used to describe the degree of TGF-β signaling activation, and nuclear pSmad2 is considered a good marker of activated TGF-beta signaling [13]. The expression of nuclear pSmad2 has been mainly investigated with immunohistochemistry (IHC), using different cut-off levels in varying studies to establish absent, low or high expression [13,14,15,16].
However, to further complicate the TGF-β landscape, recent evidence has indicated that the activation of this signaling pathway via Smad2, above all in late stages tumors, may promote tumorigenesis activating the epithelial-to-mesenchymal transition [17]. This dual role of TGF-β/Smad2 pathway renders its comprehension as a possible prognostic moderator in cancer more difficult. Moreover, the literature lacks a comprehensive summary on this topic. Given that this pathway is very important, among others, in gastrointestinal cancers [10,11,12], we decided to study the possible prognostic role of Smad2 in this type of tumor with the first systematic review and meta-analysis on this topic.

2. Results

2.1. Search Results

Altogether, 1197 non-duplicated articles were identified through the literature search. After excluding 1171 articles based on title/abstract review, 26 articles were retrieved for full text review and, following the application of the inclusion criteria, six unique articles were considered as eligible for the meta-analysis (Figure S1) [18,19,20,21,22,23].

2.2. Study and Patient Characteristics

The studies included in this meta-analysis regarded patient-cohorts from Asia (four studies) [18,19,20,22] or Europe (two studies) [21,23] and were equally divided among the most important gastrointestinal cancers, investigating indeed esophageal tumors (two studies) [18,19], gastric cancer (two studies) [20,22], and colorectal cancer (two studies) [21,23] (Table S1).
Altogether, the studies followed-up 890 patients, 393 (44.2%) of which were pSmad2-. The mean Newcastle-Ottawa Scale (NOS) score was 8.5 points (range: 8–9), with no manuscript considered as at high risk of bias (Table S2). All studies reported adjusted analyses, but for one the specific values of pSmad2 after multivariable analysis were not available [18]; the median number of confounders considered in the multivariate analysis in the remaining studies was 6.4 (Tables S1 and S3). There were no statistically significant differences between pSmad2− and pSmad2+ groups of patients regarding gender, TNM stage or tumor grading. All data presented in this meta-analysis were derived from studies that have taken into account only the C-terminally phosphorylated Smad2.

2.3. Association between pSmad2- and pSmad2+ and Survival

Pooling data from five studies [18,19,20,21,22], there was an increased risk ratio (RR) of all-cause mortality in patients with pSmad2-, which was statistically significant (RR, 1.58; 95% CI, 1.05–2.37, p = 0.029, I2 = 84%) (Table 1).
This association has also been highlighted by a forest-plot (Figure 2).
In five studies reporting available adjusted data from multivariate analysis [19,20,21,22,23], after adjusting for a median of five covariates (range: 5–8) (Table S3), pSmad2- carried a significantly higher risk of all-cause mortality compared to pSmad2+, increasing its statistical significance (RR, 1.65; 95% CI, 1.24–2.18; p < 0.001; I2 = 4%) (Table 1, Figure 3).

2.4. Publication Bias and Meta-Regression Analyses

There was no risk of publication bias for both analyzed indexes, i.e., unadjusted RR for survival (Egger’s test, 8.62 ± 12.51, p = 0.54) and adjusted estimates (Egger’s test, −2.28 ± 2.83, p = 0.48).
There was high heterogeneity only for (unadjusted) RR of all-cause mortality and, therefore we investigated if differences in TNM III-IV or G3 prevalence between Smad2+ and Smad2- could be significant moderators of the heterogeneity found. Neither the difference in stage, as measured by TNM III-IV between the two groups (slope = 0.005 ± 0.008; p = 0.55) or grading, measured as the prevalence in G3 cancers (slope = 0.02 ± 0.006; p = 0.09), were moderators of the heterogeneity.

3. Discussion

The present meta-analysis investigating the prognostic role of pSmad2 in gastrointestinal cancers, found a statistically significant association between the absence of pSmad2+ (pSmad2-) and an increased risk of mortality. This finding appears robust also considering that the association of pSmad2- and risk of mortality has been confirmed using data from multivariate analyses. The independent prognostic value of pSmad2- was confirmed also observing that both cohorts of patients, pSmad2- vs. pSmad2+, showed no significant differences either in terms of TNM stage or of tumor grading. To further reinforce the reliability of the present finding, the risk of publication bias was not detected.
Smad2 is a specific intracellular mediator of TGF-β signaling and plays a pivotal role in the antiproliferative effects of this pathway [18]. A seminal paper in this field pointed out that the level of pSmad2 is inversely associated to histological differentiation in head and neck tumors [24], indicating a potential prognostic role of the loss of this marker as an indicator of poor prognosis. In our meta-analysis, pSMAD2- confirms its clinical value, being associated with a higher risk of mortality also considering potential confounders. However, the biological basis of this association is not well understood.
First, it is important to consider that, in the TGF-β signaling, Smad2 is activated by phosphorylation upon activation of the TGF-β receptor [25]. Notably, in this meta-analysis we have considered studies that have taken into account only the C-terminally phosphorylated Smad2, since different sites of phosphorylation may result in totally different biological functions. The levels of pSmad2 may directly reflect TGF-β-induced growth inhibitory/anti-proliferative effects [18,26]. Unresponsiveness to TGF-β-induced growth inhibition as a direct result of the lack of pSmad2 may have different effects in cancer biology, from the stimulation of tumor development and growth to distant metastasization. Notably, the phosphorylation of Smad2 is the most important step for this factor to control its function, and this explains that the vast majority of cancers with an impaired Smad2 action have only a dysregulated Smad2 phosphorylation and do not present a matched SMAD2 driver gene mutation [12,27]. Indeed, this gene has a low rate of mutations in gastrointestinal cancers, particularly if compared with its counterpart SMAD4, which is one of the most important driver genes in gastroentero-pancreatic tumors [28,29,30,31].
Another important aspect to be considered in interpreting the present results on the negative prognostic role of pSmad2- in gastrointestinal cancers regards the process of epithelial-to-mesenchymal transition (EMT). EMT is a cell mechanisms in which the epithelial elements lose their polarity and cell-to-cell contacts, undergo remodeling of the cytoskeleton with morphological modifications, acquiring also motility and migratory capacities [32]. Particularly, in cancer biology and in several cancer types, EMT is a fundamental process for tumor development and metastasization [33,34,35,36,37]. Particularly, EMT via TGF-β/Smad pathway has been investigated in different cancer types [38,39,40,41], where TGF-β emerges as a tumor suppressor in the early stages of tumorigenesis, whereas in later stages it may favor tumor progression and metastatization via EMT activation [17,21,42,43]. In later stages, indeed, tumor cells may undergo EMT through TGF-β signaling, becoming more invasive and with greater metastatic potential. TGF-β suppresses immune responses of non-transformed cancer cells, increasing neo-angiogenesis and leading to progression, metastasis and even to the unfavorable prognostic event of extranodal extension of nodal metastasis [17,21,42,43,44,45,46,47,48,49]. All these events may explain, at least partly, the biological reasons of the negative prognostic role of pSmad2- that has been demonstrated with this meta-analysis. The switching of TGF-β signaling from a tumor suppressor to a tumor promoter is essential to better understanding this specific step in the complex process of tumorigenesis.
Although the finding of a correlation of the absence of pSmad2 expression with a worse prognosis seems to contradict the general assumption that enhanced TGF-beta signaling activity favors tumor progression in late tumor stages, one possible further explanation is that tumor progression is driven by pSmad3, rather than pSmad2, and that pSmad2 acts as an endogenous inhibitor of the tumor-promoting function of pSmad3.
In this line, it is also of importance considering the role of Smad3 in the complex interaction of TGF-β pathway with EMT. Smad3 indeed has been demonstrated as an important mediator in such interaction. For example, renal tubular epithelial cells deficient in Smad3 fail to undergo EMT in response to TGF-β or mechanical stress, and keratinocytes from Smad3–/– mice demonstrate reduced migration in response to TGF-β [50]. Compared with Smad3, Smad2 may play an antagonistic role in the EMT process in vivo: In fact, loss of Smad2 has been frequently shown in human skin cancers, and Smad2 deficiency in keratinocytes promotes EMT accelerating skin tumorigenesis [50]. This has been explained by increased binding of the Smad3/4 complex to the promoter of the SNAIL gene and by increased SNAIL expression in the absence of Smad2, thus enhancing the progression of EMT [50]. In a similar way, also highlighting that Smad2 is important in different tissues, Smad2–/– hepatocytes appear mesenchymal and migrate faster than wild-type cells, whereas Smad3–/– hepatocytes retain their epithelial features [50].
Although the results of this systematic review with meta-analysis appears reliable, we recognize in it also some limitations, which are largely reflected by those within the primary studies. First, the design of the studies included in the present review were retrospective; moreover, in these studies, data about other co-morbidities (like cardio-vascular diseases) were not specifically considered, but it is known that such comorbidities also play an important clinical role in patients with cancer. A final limitation includes the high heterogeneity found for the unadjusted relative risk for all-cause mortality. However, using data from multivariable models, the heterogeneity became low and at the same time the statistical significance of the present results was preserved, further corroborating the reliability of the finding.
In conclusion, with this meta-analysis it has been demonstrated that lack of pSmad2 is strongly associated with an increased risk of mortality in gastrointestinal cancers. This finding highlights the importance of the TGF-β signaling in cancer. Further studies are now needed to explore more in depth this molecular pathway and also possible therapeutic strategies, taking into account its potential effectors or molecular targets.

4. Materials and Methods

This systematic review adhered to the Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, following a predetermined protocol [51,52].

4.1. Inclusion and Exclusion Criteria

Studies were eligible for inclusion upon meeting the following criteria: (1) a prospective cohort or retrospective study design; (2) it contained a comparison of prognostic factors between positive vs. negative pSmad2 with immunohistochemistry; (3) it considered only C-terminally phosphorylated Smad2; (4) a diagnosis of conventional gastrointestinal cancers; (5) it contained data about mortality/recurrence of disease; (6) it was published in a peer review journal or published abstract. Articles in any language were considered.
Exclusion criteria were: (1) no presence of specific data on pSma2, (2) no clear standards of immunohistochemical protocol and its interpretation, (3) no data about prognostic parameters in the title/abstract, (4) no comparison between positive vs. negative pSmad2 patients, and (5) in vitro or animal studies.
We selected research papers that investigated Smad2 with immunohistochemistry since this is the best method to study the effective Smad2 function, given that SMAD2 mutations are very rare in gastrointestinal cancers and do not represent a reliable indicator of Smad2 activity.

4.2. Data Sources and Literature Search Strategy

Two investigators (I.G., N.V.) independently searched PubMed, Embase and SCOPUS until 05/31/2019. The search terms used in PubMed included combinations of the following keywords: (SMAD2 OR JV18 OR JV18-1 OR MADH2 OR MADR2 OR hMAD-2 OR hSMAD2) AND (cancer OR neoplasm OR neoplasia OR carcinoma OR adenocarcinoma) AND (mortality OR mortalities OR fatality OR fatalities OR death* OR survival OR “hazard ratio” OR HR OR “relative risk” OR RR OR progression OR recurrence). A similar research was made in SCOPUS and Embase. We considered the reference lists of all included articles and of previous related reviews.

4.3. Study Selection

Following the searches as outlined above, after removal of duplicates, two independent reviewers (I.G., L.S.) screened titles and abstracts of all potentially eligible articles. The two authors applied the eligibility criteria, considered the full texts, and a final list of included articles was reached through consensus with a third author (A.N.).

4.4. Data Extraction

Two authors were involved in data extraction in a standardized Microsoft Excel database. Specifically, one author (N.V.) extracted data from the included articles and a second independent author (A.N.) validated the data. For each article, the following information was extracted: Authors, year of publication, country, exclusion criteria, other genes/proteins abnormalities that have been studied in the specific work, number of participants and gender, age, pathologic TNM stage, tumor grading, type of IHC analysis (whole section vs. tissue micro-array), number of adjustments in survival analyses and duration of follow-up.

4.5. Outcomes

The primary outcome was the number of deaths after treatment during the follow-up period in patients with positive vs. negative pSmad2. The secondary outcome was the risk, adjusted for the maximum number of confounders available in each paper, regarding the same outcome, taking those with positive pSmad2 as reference.

4.6. Assessment of Study Quality

We used the Newcastle-Ottawa Scale (NOS) to evaluate study quality [53]. The NOS provides an assessment of the methodological quality of observational studies and its content validity and reliability have been widely assessed [54]. Included studies are assessed on 8 items across three key areas: selection of the participants, comparability of the participants and outcomes. Two authors (A.N., N.V.) completed the NOS and each study received an overall score for methodological quality of up to 9 points with a score of ≤5 (out of 9) indicating high risk of bias.

4.7. Data Synthesis and Statistical Analysis

All analyses were performed using Comprehensive Meta-Analysis (CMA) 2 (Biostat, Englewood, NJ, USA). In our primary analyses, pooled risk ratios (RRs) and 95% confidence intervals (CIs) of risk of mortality between positive pSmad2 vs. negative pSmad2 were calculated using DerSimonian-Laird random-effects models [55]. In secondary analyses, pooled hazard ratios (HRs) with 95% CIs adjusted for the maximum number of covariates available in the articles were also calculated for providing additional information if the relationship between pSmad2 status and survival was influenced by potential confounders. Heterogeneity across studies was assessed by the I2 metric and chi square statistics [56]. In the presence of significant heterogeneity (p < 0.05) after removing outlier studies, a series of meta-regression analyses according to pSmad2 status and each of prognostic parameters were considered. Finally, publication bias was investigated for the primary meta-analysis with a visual inspection of funnel plots coupled with the Egger bias test [57].

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/15/3831/s1. Figure S1. PRISMA checklist for this meta-analysis; Table S1. Characteristics of The Studies According to the Expression of SMAD2; Table S2. Methodological Quality of Cohort Studies Included in the Meta-Analysis; Table S3. Type and number of adjustments (in addiction of pSMAD2 status) for each study.

Author Contributions

Conceptualization, I.G. and A.N.; methodology, I.G., N.V., L.S. and A.N.; data analysis and interpretation, I.G., N.V., L.S., M.G.C., R.R., G.L., J.D., A.N.; discussion of the findings, I.G., N.V., L.S., M.G.C., R.R., G.L., J.D., A.N.; writing—original draft preparation, I.G., N.V., L.S. and A.N.; final editing, I.G., N.V., L.S., M.G.C., R.R., G.L., J.D., A.N.; project administration and supervision, A.N.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

TGF-βTransforming growth factor beta
IHCimmunohistochemistry
TNMTumor Nodes Metastasis staging system
GGrading
MOOSEMeta-analyses Of Observational Studies in Epidemiology guidelines
PRISMAPreferred Reporting Items for Systematic Reviews and Meta-Analyses

References

  1. Ooshima, A.; Park, J.; Kim, S.J. Phosphorylation status at Smad3 linker region modulates transforming growth factor-β-induced epithelial-mesenchymal transition and cancer progression. Cancer Sci. 2019, 110, 481–488. [Google Scholar] [CrossRef] [PubMed]
  2. Matsuzaki, K. Cytokine & Growth Factor Reviews Smad phospho-isoforms direct context-dependent TGF-b signaling. Cytokine Growth Factor Rev. 2013, 24, 385–399. [Google Scholar] [PubMed]
  3. Wrana, J.L. Regulation of Smad activity. Cell 2000, 100, 189–192. [Google Scholar] [CrossRef]
  4. Derynck, R.; Zhang, Y.; Feng, X.H. Smads: Transcriptional activators of TGF-beta responses. Cell 1998, 95, 737–740. [Google Scholar] [CrossRef]
  5. Matsuzaki, K. Smad phosphoisoform signaling specificity: The right place at the right time. Carcinogenesis 2011, 32, 1578–1588. [Google Scholar] [CrossRef] [PubMed]
  6. Yoshida, K.; Matsuzaki, K.; Murata, M.; Yamaguchi, T.; Suwa, K.; Okazaki, K. Clinico-Pathological Importance of TGF-β/Phospho-Smad Signaling during Human Hepatic Fibrocarcinogenesis. Cancers 2018, 10, 183. [Google Scholar] [CrossRef] [PubMed]
  7. Tang, J.; Gifford, C.C.; Samarakoon, R.; Higgins, P.J. Deregulation of negative controls on TGF-β1 signaling in tumor progression. Cancers 2018, 10, 159. [Google Scholar] [CrossRef] [PubMed]
  8. Pickup, M.; Novitskiy, S.; Moses, H.L. The roles of TGFβ in the tumour microenvironment. Nat. Rev. Cancer 2013, 13, 788–799. [Google Scholar] [CrossRef] [PubMed]
  9. Ding, Z.; Wu, C.-J.; Chu, G.C.; Xiao, Y.; Ho, D.; Zhang, J.; Perry, S.R.; Labrot, E.S.; Wu, X.; Lis, R.; et al. SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression. Nature 2011, 470, 269–273. [Google Scholar] [CrossRef]
  10. Katz, L.H.; Likhter, M.; Jogunoori, W.; Belkin, M.; Ohshiro, K.; Mishra, L. TGF-β signaling in liver and gastrointestinal cancers. Cancer Lett. 2016, 379, 166–172. [Google Scholar] [CrossRef]
  11. Achyut, B.R.; Yang, L. Transforming growth factor-β in the gastrointestinal and hepatic tumor microenvironment. Gastroenterology 2011, 141, 1167–1178. [Google Scholar] [CrossRef] [PubMed]
  12. Fleming, N.I.; Jorissen, R.N.; Mouradov, D.; Christie, M.; Sakthianandeswaren, A.; Palmieri, M.; Day, F.; Li, S.; Tsui, C.; Lipton, L.; et al. SMAD2, SMAD3 and SMAD4 Mutations in Colorectal Cancer. Cancer Res. 2013, 73, 725–735. [Google Scholar] [CrossRef] [PubMed]
  13. Capper, D.; von Deimling, A.; Brandes, A.; Carpentier, A.; Kesari, S.; Sepulveda-Sanchez, J.; Wheeler, H.; Chinot, O.; Cher, L.; Steinbach, J.; et al. Biomarker and Histopathology Evaluation of Patients with Recurrent Glioblastoma Treated with Galunisertib, Lomustine, or the Combination of Galunisertib and Lomustine. Int. J. Mol. Sci. 2017, 18, 995. [Google Scholar] [CrossRef] [PubMed]
  14. Bruna, A.; Darken, R.S.; Rojo, F.; Ocaña, A.; Peñuelas, S.; Arias, A.; Paris, R.; Tortosa, A.; Mora, J.; Baselga, J.; et al. High TGFβ-Smad Activity Confers Poor Prognosis in Glioma Patients and Promotes Cell Proliferation Depending on the Methylation of the PDGF-B Gene. Cancer Cell 2007, 11, 147–160. [Google Scholar] [CrossRef] [PubMed]
  15. Gutgold, N.; Davidson, B.; Catane, L.J.; Holth, A.; Hellesylt, E.; Tropé, C.G.; Dørum, A.; Reich, R. TGFβ splicing and canonical pathway activation in high-grade serous carcinoma. Virchows Arch. 2017, 470, 665–678. [Google Scholar] [CrossRef] [PubMed]
  16. Chen, Y.; Xing, P.; Chen, Y.; Zou, L.; Zhang, Y.; Li, F.; Lu, X. High p-Smad2 expression in stromal fibroblasts predicts poor survival in patients with clinical stage I to IIIA non-small cell lung cancer. World J. Surg. Oncol. 2014, 12, 328. [Google Scholar] [CrossRef] [PubMed]
  17. Moustakas, A.; Pardali, K.; Gaal, A.; Heldin, C.H. Mechanisms of TGF-beta signaling in regulation of cell growth and differentiation. Immunol. Lett. 2002, 82, 85–91. [Google Scholar] [CrossRef]
  18. Fukuchi, M.; Nakajima, M.; Miyazaki, T.; Masuda, N.; Osawa, H.; Manda, R.; Tsukada, K.; Kato, H.; Kuwano, H. Lack of activated Smad2 in transforming growth factor-beta signaling is an unfavorable prognostic factor in patients with esophageal squamous cell carcinoma. J. Surg. Oncol. 2006, 94, 51–56. [Google Scholar] [CrossRef]
  19. Guo, W.; Zhang, M.; Shen, S.; Guo, Y.; Kuang, G.; Yang, Z.; Dong, Z. Aberrant methylation and decreased expression of the TGF-β/Smad target gene FBXO32 in esophageal squamous cell carcinoma. Cancer 2014, 120, 2412–2423. [Google Scholar] [CrossRef]
  20. Guo, W.; Zhang, M.; Guo, Y.; Shen, S.; Guo, X.; Dong, Z. FBXO32, a new TGF-β/Smad signaling pathway target gene, is epigenetically inactivated in gastric cardia adenocarcinoma. Neoplasma 2015, 62, 646–657. [Google Scholar] [CrossRef]
  21. Lampropoulos, P.; Zizi-Sermpetzoglou, A.; Rizos, S.; Kostakis, A.; Nikiteas, N.; Papavassiliou, A.G. Prognostic significance of transforming growth factor beta (TGF-β) signaling axis molecules and E-cadherin in colorectal cancer. Tumour Biol. 2012, 33, 1005–1014. [Google Scholar] [CrossRef]
  22. Shinto, O.; Yashiro, M.; Toyokawa, T.; Nishii, T.; Kaizaki, R.; Matsuzaki, T.; Noda, S.; Kubo, N.; Tanaka, H.; Doi, Y.; et al. Phosphorylated Smad2 in Advanced Stage Gastric Carcinoma. BMC Cancer 2010, 10, 652. [Google Scholar] [CrossRef]
  23. Voorneveld, P.W.; Jacobs, R.J.; De Miranda, N.F.C.C.; Morreau, H.; Van Noesel, C.J.M.; Offerhaus, G.J.A.; Kodach, L.L.; Hardwick, J.C.H. Evaluation of the prognostic value of pSMAD immunohistochemistry in colorectal cancer. Eur. J. Cancer Prev. 2013, 22, 420–424. [Google Scholar] [CrossRef]
  24. Muro-Cacho, C.A.; Rosario-Ortiz, K.; Livingston, S.; Muñoz-Antonia, T. Defective transforming growth factor beta signaling pathway in head and neck squamous cell carcinoma as evidenced by the lack of expression of activated Smad2. Clin. Cancer Res. 2001, 7, 1618–1626. [Google Scholar]
  25. Heldin, C.H.; Miyazono, K.; ten Dijke, P. TGF-beta signalling from cell membrane to nucleus through SMAD proteins. Nature 1997, 390, 465–471. [Google Scholar] [CrossRef]
  26. Prunier, C.; Ferrand, N.; Frottier, B.; Pessah, M.; Atfi, A. Mechanism for mutational inactivation of the tumor suppressor Smad2. Mol. Cell. Biol. 2001, 21, 3302–3313. [Google Scholar] [CrossRef]
  27. Osawa, H.; Shitara, Y.; Shoji, H.; Mogi, A.; Kuwano, H.; Hagiwara, K.; Takenoshita, S. Mutation analysis of transforming growth factor beta type II receptor, Smad2, Smad3 and Smad4 in esophageal squamous cell carcinoma. Int. J. Oncol. 2000, 17, 723–728. [Google Scholar] [CrossRef]
  28. Luchini, C.; Capelli, P.; Scarpa, A. Pancreatic Ductal Adenocarcinoma and Its Variants. Surg. Pathol. Clin. 2016, 9, 547–560. [Google Scholar] [CrossRef]
  29. Liao, X.; Hao, Y.; Zhang, X.; Ward, S.; Houldsworth, J.; Polydorides, A.D.; Harpaz, N. Clinicopathological characterization of SMAD4-mutated intestinal adenocarcinomas: A case-control study. PLoS ONE 2019, 14, e0212142. [Google Scholar] [CrossRef]
  30. Riva, G.; Pea, A.; Pilati, C.; Fiadone, G.; Lawlor, R.T.; Scarpa, A.; Luchini, C. Histo-molecular oncogenesis of pancreatic cancer: From precancerous lesions to invasive ductal adenocarcinoma. World J. Gastrointest. Oncol. 2018, 10, 317–327. [Google Scholar] [CrossRef]
  31. Luchini, C.; Pea, A.; Lionheart, G.; Mafficini, A.; Nottegar, A.; Veronese, N.; Chianchiano, P.; Brosens, L.A.; Noë, M.; Offerhaus, G.J.A.; et al. Pancreatic undifferentiated carcinoma with osteoclast-like giant cells is genetically similar to, but clinically distinct from, conventional ductal adenocarcinoma. J. Pathol. 2017, 243, 148–154. [Google Scholar] [CrossRef]
  32. Dongre, A.; Weinberg, R.A. New insights into the mechanisms of epithelial-mesenchymal transition and implications for cancer. Nat. Rev. Mol. Cell Biol. 2019, 20, 69–84. [Google Scholar] [CrossRef]
  33. Luchini, C.; Parcesepe, P.; Mafficini, A.; Nottegar, A.; Parolini, C.; Veronese, N.; Remo, A.; Manfrin, E. Specific expression patterns of epithelial to mesenchymal transition factors in gestational molar disease. Placenta 2015, 36, 1318–1324. [Google Scholar] [CrossRef]
  34. Zhang, Y.; Weinberg, R.A. Epithelial-to-mesenchymal transition in cancer: Complexity and opportunities. Front. Med. 2018, 12, 361–373. [Google Scholar] [CrossRef]
  35. Lawlor, R.T.; Veronese, N.; Nottegar, A.; Malleo, G.; Smith, L.; Demurtas, J.; Cheng, L.; Wood, L.D.; Silvestris, N.; Salvia, R.; et al. Prognostic Role of High-Grade Tumor Budding in Pancreatic Ductal Adenocarcinoma: A Systematic Review and Meta-Analysis with a Focus on Epithelial to Mesenchymal Transition. Cancers 2019, 11, 113. [Google Scholar] [CrossRef]
  36. Du, F.; Liu, H.; Lu, Y.; Zhao, X.; Fan, D. Epithelial-to-Mesenchymal Transition: Liaison between Cancer Metastasis and Drug Resistance. Crit. Rev. Oncog. 2017, 22, 275–282. [Google Scholar] [CrossRef]
  37. Cappellesso, R.; Luchini, C.; Veronese, N.; Lo Mele, M.; Rosa-Rizzotto, E.; Guido, E.; De Lazzari, F.; Pilati, P.; Farinati, F.; Realdon, S.; et al. Tumor budding as a risk factor for nodal metastasis in pT1 colorectal cancers: A meta-analysis. Hum. Pathol. 2017, 65, 62–70. [Google Scholar] [CrossRef]
  38. Yu, C.; Liu, Y.; Huang, D.; Dai, Y.; Cai, G.; Sun, J.; Xu, T.; Tian, Y.; Zhang, X. TGF-β1 mediates epithelial to mesenchymal transition via the TGF-β/Smad pathway in squamous cell carcinoma of the head and neck. Oncol. Rep. 2011, 25, 1581–1587. [Google Scholar]
  39. Kim, A.N.; Jeon, W.-K.; Lim, K.-H.; Lee, H.-Y.; Kim, W.J.; Kim, B.-C. Fyn mediates transforming growth factor-beta1-induced down-regulation of E-cadherin in human A549 lung cancer cells. Biochem. Biophys. Res. Commun. 2011, 407, 181–184. [Google Scholar] [CrossRef]
  40. Xu, Z.; Jiang, Y.; Steed, H.; Davidge, S.; Fu, Y. TGFβ and EGF synergistically induce a more invasive phenotype of epithelial ovarian cancer cells. Biochem. Biophys. Res. Commun. 2010, 401, 376–381. [Google Scholar] [CrossRef]
  41. Wendt, M.K.; Allington, T.M.; Schiemann, W.P. Mechanisms of the epithelial-mesenchymal transition by TGF-beta. Future Oncol. 2009, 5, 1145–1168. [Google Scholar] [CrossRef]
  42. Wieser, R. The transforming growth factor-beta signaling pathway in tumorigenesis. Curr. Opin. Oncol. 2001, 13, 70–77. [Google Scholar] [CrossRef]
  43. Pardali, K.; Moustakas, A. Actions of TGF-beta as tumor suppressor and pro-metastatic factor in human cancer. Biochim. Biophys. Acta 2007, 1775, 21–62. [Google Scholar]
  44. Pidugu, V.K.; Wu, M.M.; Yen, A.H.; Pidugu, H.B.; Chang, K.W.; Liu, C.J.; Lee, T.C. IFIT1 and IFIT3 promote oral squamous cell carcinoma metastasis and contribute to the anti-tumor effect of gefitinib via enhancing p-EGFR recycling. Oncogene 2019, 38, 3232–3247. [Google Scholar] [CrossRef]
  45. Luchini, C.; Veronese, N.; Pea, A.; Sergi, G.; Manzato, E.; Nottegar, A.; Solmi, M.; Capelli, P.; Scarpa, A. Extranodal extension in N1-adenocarcinoma of the pancreas and papilla of Vater: A systematic review and meta-analysis of its prognostic significance. Eur. J. Gastroenterol. Hepatol. 2016, 28, 205–209. [Google Scholar] [CrossRef]
  46. Luchini, C.; Nottegar, A.; Pea, A.; Solmi, M.; Stubbs, B.; Capelli, P.; Sergi, G.; Manzato, E.; Fassan, M.; Wood, L.D.; et al. Extranodal extension is an important prognostic parameter for both colonic and rectal cancer. Ann. Oncol. 2016, 27, 955–956. [Google Scholar] [CrossRef]
  47. Veronese, N.; Fassan, M.; Wood, L.D.; Stubbs, B.; Solmi, M.; Capelli, P.; Pea, A.; Nottegar, A.; Sergi, G.; Manzato, E.; et al. Extranodal extension of nodal metastases is a poor prognostic indicator in gastric cancer: A systematic review and meta-analysis. J. Gastrointest. Surg. 2016, 20, 1692–1698. [Google Scholar] [CrossRef]
  48. Veronese, N.; Luchini, C.; Nottegar, A.; Kaneko, T.; Sergi, G.; Manzato, E.; Solmi, M.; Scarpa, A. Prognostic impact of extra-nodal extension in thyroid cancer: A meta-analysis. J. Surg. Oncol. 2015, 112, 828–833. [Google Scholar] [CrossRef]
  49. Luchini, C.; Wood, L.D.; Cheng, L.; Nottegar, A.; Stubbs, B.; Solmi, M.; Capelli, P.; Pea, A.; Sergi, G.; Manzato, E.; et al. Extranodal extension of lymph node metastasis is a marker of poor prognosis in oesophageal cancer: A systematic review with meta-analysis. J. Clin. Pathol. 2016. [Google Scholar] [CrossRef]
  50. Xu, J.; Lamouille, S.; Derynck, R. TGF-beta-induced epithelial to mesenchymal transition. Cell Res. 2009, 19, 156–172. [Google Scholar] [CrossRef]
  51. Stroup, D.F.; Berlin, J.A.; Morton, S.C.; Olkin, I.; Williamson, G.D.; Rennie, D.; Moher, D.; Becker, B.J.; Sipe, T.A.; Thacker, S.B. Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000, 283, 2008–2012. [Google Scholar] [CrossRef]
  52. Liberati, A.; Altman, D.G.; Tetzlaff, J.; Mulrow, C.; Gøtzsche, P.C.; Ioannidis, J.P.A.; Clarke, M.; Devereaux, P.J.; Kleijnen, J.; Moher, D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: Explanation and elaboration. BMJ 2009, 339, b2700. [Google Scholar] [CrossRef]
  53. Wells, G.A.; Shea, B.; O’Connell, D.; Peterson, J.; Welch, V.; Losos, M. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonradomised Studies in Meta-Analyses. Available online: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp (accessed on 6 June 2019).
  54. Luchini, C.; Stubbs, B.; Solmi, M.; Veronese, N. Assessing the quality of studies in meta-analyses: Advantages and limitations of the Newcastle Ottawa Scale. World J. Meta-Anal. 2017, 5, 80. [Google Scholar] [CrossRef]
  55. DerSimonian, R.; Laird, N. Meta-analysis in clinical trials revisited. Contemp. Clin. Trials 2015, 45, 139–145. [Google Scholar] [CrossRef]
  56. Higgins, J.P.T.; Thompson, S.G. Quantifying heterogeneity in a meta-analysis. Stat. Med. 2002, 21, 1539–1558. [Google Scholar] [CrossRef]
  57. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the complex interactions involving TGF-β signaling and other important pathways in gastrointestinal tumors.
Figure 1. Schematic representation of the complex interactions involving TGF-β signaling and other important pathways in gastrointestinal tumors.
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Figure 2. Forest-plot of relative risk of all-cause mortality: patients with pSmad2- have an increased risk of all-cause mortality, statistically significant (p = 0.029).
Figure 2. Forest-plot of relative risk of all-cause mortality: patients with pSmad2- have an increased risk of all-cause mortality, statistically significant (p = 0.029).
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Figure 3. Forest-plot of adjusted risk of all-cause mortality: patients with pSmad2- have an increased risk of all-cause mortality, statistically significant after adjusting for potential confounders (p = 0.001).
Figure 3. Forest-plot of adjusted risk of all-cause mortality: patients with pSmad2- have an increased risk of all-cause mortality, statistically significant after adjusting for potential confounders (p = 0.001).
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Table 1. Risk ratios (unadjusted and adjusted) for all-cause mortality (ACM) of patients with gastrointestinal cancers, based on pSmad2- vs. pSmad2+ status.
Table 1. Risk ratios (unadjusted and adjusted) for all-cause mortality (ACM) of patients with gastrointestinal cancers, based on pSmad2- vs. pSmad2+ status.
ParameterN StudiesRisk Ratio
(95% CI)
p ValueHeterogeneity
(I2%); tau2
Egger Test ± SE
(p Value)
Unadjusted51.58
(1.05–2.37)
0.02984%, p < 0.00018.62 ± 12.51 (p = 0.54)
Adjusted51.65
(1.24–2.18)
<0.0014%; p = 0.38−2.28 ± 2.83 (p = 0.48)
Abbreviations: ACM: All-cause mortality; CI: Confidence intervals; SE: Standard error.
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