Prognostic Significance of SOCS3 in Patients With Solid Tumors: A Meta-Analysis

Background: The identification of reliable biomarkers for predicting disease recurrence and the survival of patients with cancer is of great importance. Numerous previous studies have revealed that the abnormal expression of the suppressor of cytokine signaling 3 (SOCS3) was associated with patient outcomes. However, these results were inconsistent. The aim of the present study was to assess the prognostic value of SOCS3 in patients with solid tumors.

Methods: Studies focusing on the prognostic value of SOCS3 in solid tumors were searched for in the PubMed, Embase, Web of Science, and Scopus databases. We included studies that compared disease-free survival (DFS) and overall survival based on different levels of SOCS3. Other outcomes (e.g., Edmondson grading, tumor size, tumor vascular invasion, lymph node invasion, and distant metastasis) were also considered. The hazard ratio (HR)/risk ratio (RR) and corresponding 95% CI were determined.

Results: Twelve studies with 1,551 patients were included in this meta-analysis. The pooled analysis demonstrated that the higher expression of SOCS3 was significantly associated with better disease-free survival (HR:0.36, 95% CI:0.17–0.77, P < 0.001) and overall survival (HR:0.45, 95% CI:0.32–0.62, P < 0.001) compared with low expression. Moreover, SOCS3 expression was closely correlated with the Edmondson grading [odds ratio (OR):0.77, 95% CI:0.61–0.98, P = 0.033], vascular invasion (OR:0.63, 95% CI:0.52–0.78, P < 0.001), and distant metastasis (OR:0.73, 95% CI:0.51–1.03, P = 0.076). However, the levels of SOCS3 were not significantly associated with tumor size (OR:0.85, 95% CI:0.71–1.03, P = 0.090) and lymph node invasion (OR:0.73, 95% CI:0.51–1.03, P = 0.076).

Conclusion: Increased SOCS3 expression in tumor mass was associated with better DFS and OS, suggesting it might be a novel and reliable biomarker for predicting the risk of cancer recurrence and mortality.

Introduction

According to the most recently published data, the global cancer-related morbidity and mortality rates in 2020 were estimatedto be 19.3 and 10.0 million, respectively. This evidence revealed that malignancy has become a major public health concern (1). Surgical resection is considered the main curative therapeutic strategy for most types of solid tumors. However, most patients with such tumors experience postoperative recurrence. Although chemotherapy, radiotherapy, and targeted therapy have made remarkable progress in cancer treatment, patients‘ survival remains limited. Immunotherapy, especially for immune checkpoint inhibitors, has been applied in a variety of tumors and prolonged patients‘ survival significantly. Immune-based combinations have been recommended as the first-line therapy in most malignancies such as hepatocellular carcinoma (HCC) (2, 3). Nonetheless, some patients did not respond to this novel treatment option with unsatisfactory survival. According to previous studies, it is necessary to identify biomarkers to predict the outcomes in patients who received immune-based therapy (4). Thus far, risk factors linked to patients‘ outcomes have been poorly understood. Therefore, the identification of hypersensitive and specific biomarkers for predicting patient outcomes is urgently warranted.

Currently, various clinicopathological factors (e.g., Edmondson grading, tumor size, lymph nodes invasion, and distant metastasis) have been recognized as common predictors of patient outcome. Accordingly, multiple tumor staging systems (e.g., TNM) have been developed and applied to the management of cancer in clinical practice. However, the accuracy of these systems remains unsatisfactory.

Owing to their inhibitory effect on multiple cytokine-related signaling pathways, members of the suppressor of cytokine signaling (SOCS) protein family are considered potential prognostic molecules in patients with cancer. Particularly, it has been found that the SOCS 3 (SOCS3) expression is lower in tumor tissues compared with adjacent tissues; this difference in expression may influence patient outcomes (5, 6). Interestingly, SOCS3 acts as a double-edged sword in the regulation of cancer biology. For example, a recent study suggested that SOCS3 inhibited the proliferation of breast cancer cells in vitro (7). However, another study demonstrated that SOCS3 mediated interferon-α resistance in renal cell carcinoma (8).

Although SOCS3 methylation has been demonstrated as a reliable prognostic factor in HBV infection-related HCC cases (9), previous clinical studies have yielded inconsistent data regarding the prognostic significance of SOCS3. Multiple retrospective cohort studies revealed that elevated SOCS3 expression was correlated with favorable disease-free survival (DFS) and overall survival (OS) in patients with HCC (10, 11), colorectal cancer (12), gastric cancer (13–15), breast cancer (16), cholangiocarcinoma (17), ovarian cancer (18), and prostatic cancer (19). However, Jiang et al. (20). have demonstrated that the expression of SOCS3 cannot predict the postoperative risk of tumor recurrence in patients with HCC. Conversely, a study reported by Bekki et al. (21) suggested that higher levels of SOCS3 were associated with an increased risk of recurrence in undifferentiated pleomorphic sarcoma.

Therefore, we performed a meta-analysis of data collected from published research studies to re-assess the prognostic value of SOCS3 in patients with solid tumors.

Methods

Search Strategy

Published studies potentially related to solid tumors and SOCS3 expression were extracted from the PubMed, Embase, Scopus, and Web of Science databases in October 2020. The keywords “cancer,” “carcinoma,” “suppressor of cytokine signaling 3,” and “prognosis,” as well as related abbreviations, were used for the screening and identification of candidate studies to be included in the meta-analysis. Multiple synonyms were also utilized.

Inclusion and Exclusion Criteria

Eligible studies were identified using the following criteria: (1) research addressing the relationship between the outcomes of patients with solid tumors and SOCS3 expression, (2) detection of SOCS3 expression in tumor tissues using immunohistochemistry, and (3) confirmation of all solid tumors through pathological examination.

The exclusion criteria for this meta-analysis were: (1) other types of publications (i.e., reviews, conference abstracts, case reports, or comments); (2) in vivo or in vitro research studies; (3) lack of data on DFS or OS; (4) use of data from public databases; and (5) lack of hazard ratios (HRs) and 95% confidence intervals (CIs) as effective measurements.

Data Management and Outcome Assessment

Using the aforementioned criteria, available articles were independently selected and reviewed by two investigators through abstract and full-text reading. In case of disagreement between the investigators, a consensus was reached through discussion with a senior investigator. The HRs and 95% CIs of OS and DFS were collected and recognized as effective measurements. Univariate and multivariate analyses were performed, and the studies or data with more accurate HRs and 95% CIs were subsequently selected for the meta-analysis.

Quality Assessment

The UK Cochrane Center of Evidence (2009) was used to estimate the level of evidence in the studies. The quality of the retrospective cohort studies was assessed using the Newcastle–Ottawa scale (22). This scale consists of three factors, namely the selection of patients, comparability of the study groups, and assessment of outcome. The maximum total score is nine; scores ≥6 denoted high-quality studies and were also a pre-setting selection criterion in this report.

Statistical Analysis

Hazard ratios (HRs) and the corresponding 95% CIs were calculated to pool the functional outcomes. Statistical heterogeneity among the studies was assessed using chi-square tests, with P < 0.05 or I² >50% denoting statistical significance. In the absence of evident heterogeneity, a fixed-effects model was utilized; otherwise, a random-effects model was selected to minimize the heterogeneity, followed by subgroup and sensitivity analyses. Funnel plots, Egger's test, and Begg's test were used to examine publication bias. All statistical analyses were performed using the STATA version 14.0 (StataCorp, College Station, TX, USA) software.

Results

Characteristics of Selected Articles

After removing duplicated publications (n = 319), 329 articles were selected for screening. By scanning the titles and abstracts of these articles, 279 publications were excluded; of those, 62 were unrelated, 51 were reviews, 102 described in vivo or in vitro studies, 52 were conference abstracts, and 12 were case reports. According to the aforementioned criteria, 38 studies were excluded for the following reasons: (1) lack of data on DFS and OS (n = 15), (2) lack of HRs and 95% CIs (n = 8), (3) lack of immunohistochemistry analysis for the detection of SOCS3 expression, and (4) exclusive focus on SOCS3 methylation (n = 12) (Figure 1).

FIGURE 1

Figure 1. Flow of studies selection.

In total, 1,551 patients from 12 retrospective cohort studies were included in the present analysis (10–21). The level of evidence was 2a. Based on the Newcastle–Ottawa Scale, all studies received a quality score of 6–9 (Table 1).

TABLE 1

Table 1. Characteristics of included studies.

Predictive Role of SOCS3 in DFS and OS

Four studies including 693 patients investigated the relationship between SOCS3 expression and the risk of tumor recurrence. Considering the degree of heterogeneity (I² = 77.9%), a random-effects model was utilized for the analysis of these data. We found that an elevated SOCS3 expression in tumor tissues was significantly correlated with better DFS (HR:0.36, 95% CI:0.17–0.77, P < 0.001) vs. low expression (Figure 2A). Similarly, a pooled analysis of 10 studies with 1,119 cases using the random-effects model (I² = 72.9%) revealed that higher levels of SOCS3 were significantly associated with better OS vs. low levels (HR:0.45, 95% CI:0.32–0.62, P < 0.001) (Figure 2B, Table 2).

FIGURE 2

Figure 2. Overexpressed suppressor of cytokine signaling 3 (SOCS3) was associated with better disease-free survival (A) and overall survival (B).

TABLE 2

Table 2. Results of meta-analysis of interested outcomes.

Correlation Between SOCS3 Expression and Clinicopathological Features

Eight studies involving 1,118 patients focused on the relationship between SOCS3 expression and Edmondson grading. A pooled analysis with a random-effects model (I² = 72.9%) revealed that the lower expression of SOCS3 was correlated with poorly differentiated tumors [risk ratio (RR):0.77, 95% CI:0.61–0.98, P = 0.033] (Figure 3A). However, according to the results of a meta-analysis of seven studies using a random-effects model (I² = 67.2), SOCS3 expression was not associated with tumor size (RR:0.85, 95% CI:0.71–1.03, P = 0.090) (Figure 3B).

FIGURE 3

Figure 3. SOCS3 expression was associated with Edmondson grading (A), vascular invasion (C), distant metastasis (E) instead of tumor size (B) or lymph nodes invasion (D).

Using a fixed-effects model (I² = 9.40%), a pooled analysis of six studies (including 876 cases) demonstrated that the lower expression of SOCS3 increased the risk of tumor vascular invasion (RR:0.63, 95% CI:0.52–0.78, P < 0.001) (Figure 3C). In contrast, an analysis of eight studies with a random-effects model (I² = 85.0%) revealed that SOCS3 expression did not have an obvious impact on lymph node invasion (RR:0.73, 95% CI:0.51–1.03, P = 0.076) (Figure 3D). An analysis of four studies with a fixed-effects model showed that higher SOCS3 expression significantly reduced the risk of metastasis vs. low expression (RR:0.56, 95% CI:0.40–0.78, P < 0.001) (Figure 3E).

Sensitivity, Stratification, and Bias Analysis

For the sensitivity analysis, we employed a leave-one-out approach to examine the stability of the pooled analysis results concerning DFS and OS. The exclusion of any single study did not alter the statistical significance of the results, indicating that the results of this meta-analysis were stable and robust (Figures 4A,B).

FIGURE 4

Figure 4. Sensitivity and stratification analysis results. (A) Sensitivity analysis of disease-free survival. (B) Sensitivity analysis of overall survival. (C) Stratification analysis of disease-free survival. (D) Stratification analysis of overall survival.

Subsequently, we performed a stratification analysis by the studies that enrolled HCC (n = 3) or non-HCC cases. It revealed that an increased SOCS3 expression was associated with a better DFS and OS in both patients with HCC or other types of solid tumor cases (Figures 4C,D). These results were consistent with the above pooled analysis.

Publication bias was investigated using Begg's and Egger's tests, as well as funnel plots. All P-values obtained from Egger's and Begg's tests for each endpoint were >0.05 (Table 2). Additionally, the visual inspection of the funnel plots did not show obvious asymmetry for the DFS (Figure 5A) or OS (Figure 5B) analyses. These results confirmed the absence of publication bias risk among the included studies in the present meta-analysis.

FIGURE 5

Figure 5. No significant publication bias existed in the pooled analysis about disease-free survival (A) or overall survival (B).

Discussion

Due to the heterogeneity of cancer, the exploration of reliable prognostic biomarkers is highly important in the era of precision medicine. According to preclinical research studies, SOCS3 is a differently expressive gene between tumors and adjacent tissues (7, 23). However, its prognostic value in patients with cancer remains poorly understood. In the present study, we screened the available literature and performed a meta-analysis to assess the correlation between SOCS3 expression and the risk of cancer relapse and mortality. The findings demonstrated that higher SOCS3 expression in tumor tissues was associated with a significantly better DFS and OS compared with low expression. The results were stable without obvious publication bias. Meanwhile, we uncovered that SOCS3 was obviously related to Edmondson grading, vascular invasion, and metastasis instead of with tumor size and lymph nodes invasion. Generally, a few genes perform different effects on tumor biology or reflect inconsistent clinicopathological features. We believe the different results were mainly due to the limited sizes of available studies and different cancer types. According to these results, SOCS3 may be a novel prognostic biomarker in patients with solid tumors.

The exact mechanism through which SOCS3 affects patient outcomes remains unclear. Nevertheless, its inhibitory effect on multiple cytokine-related signaling pathways has been widely acknowledged. The incidence and progression of cancer may be ascribed to a variety of cytokines and growth factors, which are abundant in the tumor microenvironment (TME). In fact, a complex network of growth exists in TME and plays a critical role in cell-cell communication. The interaction of these cytokines with their receptors activates multiple signaling pathways, thus resulting in cell proliferation, angiogenesis, immune escape, and other biological processes which are hallmarks of cancer.

As mentioned above, members of the SOCS family of genes exert their anti-cancer function by inhibiting multiple signaling pathways related to cytokines and growth factors. In particular, SOCS3 mainly suppresses the activity of the interleukin 6/Janus kinase/signal transducer and the activator of the transcription 3 (IL6/JAK/STAT3) pathway in a feedback manner (24). It has been reported that SOCS3 is frequently silenced by hypermethylation and suppresses cell growth in human lung cancer (25). An in vivo study revealed that SOCS3 deficiency would induce gastric cancer by enhancing the STAT3 signaling pathway (26).

Cytokine IL6 is secreted by tumor cells or tumor stem cells and can promote cancer progression by mediating drug resistance, immune escape, angiogenesis, and metabolic disorder (27). Therefore, IL6 is considered an effective anti-cancer target. Accordingly, several monoclonal antibodies against IL6 or its receptor have been investigated in early-phase clinical trials for the treatment of hematological malignancy (28, 29), prostate cancer (30), renal cancer (31), and ovarian cancer (32). Targeting IL6 has shown a favorable safety profile and promising efficacy in the field of cancer management.

STAT3 is activated by JAK and IL6 and is a multi-function gene. Based on previous findings, STAT3 can facilitate cancer progression by increasing the expression of programmed cell death 1 ligand 1 (PD-L1), vascular epidermal growth factor A (VEGFA), matrix metalloproteinase (MMP), etc. (33). Importantly, STAT3 phosphorylation has been linked to worse and better prognosis in patients with solid tumors and hematological malignancy, respectively (34, 35). A previous meta-analysis confirmed that the overexpression of p-STAT3 was significantly correlated with poor outcomes in patients with cancer (36–38). Therefore, STAT3 is commonly considered a potential anti-cancer target (39). Recently, multiple promising STAT3 inhibitors have been used in clinical trials for the treatment of patients with cancer. Based on these data, we propose that the SOCS3-induced suppression of the IL6/JAK/STAT3 pathway may be one of the main mechanisms influencing patient outcomes (40).

To our knowledge, this is the first meta-analysis confirming the prognostic value of SOCS3 in patients with solid tumors. In clinical practice, SOCS3 could be recommended as a general molecular to be detected in tumor mass, which may assist physicians in recognizing high-risk patients and, consequently, achieve precision management. However, a well-designed prospective study is necessary to validate the prognostic value of SOCS3 in cancer patients.

However, some limitations in the present study should be acknowledged. Firstly, all included investigations were retrospective cohort studies with a modest level of evidence. Secondly, most participants in these studies were from Asian countries (e.g., China and Japan), which may restrict the applicability of these findings to populations residing in other regions. Thirdly, the heterogeneity detected in the present study may result from the quality of the studies included and multiple tumor types. Lastly, the cut-off value of SOCS3 expression in each study was inconsistent; this inconsistency may have affected our results.

Conclusion

The anti-oncogene SOCS3 may be a novel biomarker for predicting the outcomes of patients with solid tumors. This molecule can be applied to clinical practice and may be a therapeutic target.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author Contributions

JQ and YG: conception and design. XZ: data analysis and interpretation. JS and SW: collection and assembly of data. All authors wrote the manuscript and approved the final version of the manuscript.

Funding

This study was funded by National Traditional Chinese Medicine Inheritance and Innovation Platform Construction Project by National Administration of Traditional Chinese Medicine, College Project of Jiangsu Province Hospital of Chinese Medicine (NO. Y2020CX570).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2021) 71:209–49. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Rizzo A, Ricci AD, Brandi G. Immune-based combinations for advanced hepatocellular carcinoma: shaping the direction of first-line therapy. Future Oncol. (2021) 17:755–7. doi: 10.2217/fon-2020-0986

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Rizzo A, Dadduzio V, Ricci AD, Massari F, Di Federico A, Gadaleta-Caldarola G, et al. Lenvatinib plus pembrolizumab: the next frontier for the treatment of hepatocellular carcinoma? Expert Opin Investig Drugs. (2021) 1–8. doi: 10.1080/13543784.2021.1948532

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Rizzo A, Brandi G. Biochemical predictors of response to immune checkpoint inhibitors in unresectable hepatocellular carcinoma. Cancer Treat Res Commun. (2021) 27:100328. doi: 10.1016/j.ctarc.2021.100328

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Zhou QY, Peng PL, Xu YH. MiR-221 affects proliferation and apoptosis of gastric cancer cells through targeting SOCS3. Eur Rev Med Pharmacol Sci. (2019) 23:9427–35. doi: 10.26355/eurrev_201911_19436

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Ghafouri-Fard S, Oskooei VK, Azari I, Taheri M. Suppressor of cytokine signaling (SOCS) genes are downregulated in breast cancer. World J Surg Oncol. (2018) 16:226. doi: 10.1186/s12957-018-1529-9

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Barclay JL, Anderson ST, Waters MJ, Curlewis JD. SOCS3 as a tumor suppressor in breast cancer cells, and its regulation by PRL. Int J Cancer. (2009) 124:1756–66. doi: 10.1002/ijc.24172

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Tomita S, Ishibashi K, Hashimoto K, Sugino T, Yanagida T, Kushida N, et al. Suppression of SOCS3 increases susceptibility of renal cell carcinoma to interferon-α. Cancer Sci. (2011) 102:57–63. doi: 10.1111/j.1349-7006.2010.01751.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Zhang X, You Q, Zhang X, Chen X. SOCS3 methylation predicts a poor prognosis in HBV infection-related hepatocellular carcinoma. Int J Mol Sci. (2015) 16:22662–75. doi: 10.3390/ijms160922662

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Chen L, Huang X, Zhang W, Liu Y, Chen B, Xiang Y, et al. Correlation of PD-L1 and SOCS3 co-expression with the prognosis of hepatocellular carcinoma patients. J Cancer. (2020) 11:5440–8. doi: 10.7150/jca.46158

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Zhao R, Chen K, Zhou J, He J, Liu J, Guan P, et al. The prognostic role of BORIS and SOCS3 in human hepatocellular carcinoma. Medicine. (2017) 96:e6420. doi: 10.1097/MD.0000000000006420

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Chu Q, Shen D, He L, Wang H, Liu C, Zhang W. Prognostic significance of SOCS3 and its biological function in colorectal cancer. Gene. (2017) 627:114–22. doi: 10.1016/j.gene.2017.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Xu W, Fu J, Wu H, Sun W. Human epidermal growth factor receptor 2 expressions and Janus-activated kinase/signal transducer and activator of transcription 3-suppressor of cytokine signaling 3 pathway may be associated with clinicopathological features and prognosis of gastric cancer. J Cancer Res Ther. (2018) 14(Suppl):S311–8. doi: 10.4103/0973-1482.235348

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Li G, Xu J, Wang Z, Yuan Y, Li Y, Cai S, et al. Low expression of SOCS-1 and SOCS-3 is a poor prognostic indicator for gastric cancer patients. J Cancer Res Clin Oncol. (2015) 141:443–52. doi: 10.1007/s00432-014-1838-5

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Deng J, Jiao X, Liu H, Wu L, Zhang R, Wang B, et al. Lymph node metastasis is mediated by suppressor of cytokine signaling-3 in gastric cancer. Tumour Biol. (2013) 34:3627–36. doi: 10.1007/s13277-013-0944-3

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ying M, Li D, Yang L, Wang M, Wang N, Chen Y, et al. Loss of SOCS3 expression is associated with an increased risk of recurrent disease in breast carcinoma. J Cancer Res Clin Oncol. (2010) 136:1617–26. doi: 10.1007/s00432-010-0819-6

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Wang Y, Wan M, Zhou Q, Wang H, Wang Z, Zhong X, et al. The prognostic role of SOCS3 and A20 in human cholangiocarcinoma. PLoS ONE. (2015) 10:e0141165. doi: 10.1371/journal.pone.0141165

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Shang AQ, Wu J, Bi F, Zhang YJ, Xu LR, Li LL, et al. Relationship between HER2 and JAK/STAT-SOCS3 signaling pathway and clinicopathological features and prognosis of ovarian cancer. Cancer Biol Ther. (2017) 18:314–22. doi: 10.1080/15384047.2017.1310343

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Pierconti F, Martini M, Cenci T, Larocca LM. The immunohistochemical analysis of SOCS3 protein identifies a subgroup of prostatic cancer biopsies with aggressive behavior. Appl Immunohistochem Mol Morphol. (2018) 26:324–9. doi: 10.1097/PAI.0000000000000438

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Jiang LH, Hao YL, Zhu JW. Expression and prognostic value of HER-2/neu, STAT3 and SOCS3 in hepatocellular carcinoma. Clin Res Hepatol Gastroenterol. (2019) 43:282–91. doi: 10.1016/j.clinre.2018.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Bekki H, Kohashi K, Yamada Y, Iura K, Ishii T, Maekawa A, et al. Phosphorylation of STAT3 in undifferentiated pleomorphic sarcoma is correlated with a favorable prognosis. Pathobiology. (2017) 84:161–9. doi: 10.1159/000448524

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lo CK, Mertz D, Loeb M. Newcastle-ottawa scale: comparing reviewers' to authors' assessments. BMC Med Res Methodol. (2014) 14:45. doi: 10.1186/1471-2288-14-45

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Zhang S, Wang W, Wang E, Qiu X. SOCS3 expression is inversely correlated with Pyk2 in non-small cell lung cancer and exogenous SOCS3 inhibits proliferation and invasion of A549 cells. Pathology. (2012) 44:434–40. doi: 10.1097/PAT.0b013e328354ffdf

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Yu T, Zuo Y, Cai R, Huang X, Wu S, Zhang C, et al. SENP1 regulates IFN-γ-STAT1 signaling through STAT3-SOCS3 negative feedback loop. J Mol Cell Biol. (2017) 9:144–53. doi: 10.1093/jmcb/mjw042

PubMed Abstract | CrossRef Full Text | Google Scholar

25. He B, You L, Uematsu K, Zang K, Xu Z, Lee AY, et al. SOCS-3 is frequently silenced by hypermethylation and suppresses cell growth in human lung cancer. Proc Natl Acad Sci U S A. (2003) 100:14133–8. doi: 10.1073/pnas.2232790100

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Inagaki-Ohara K, Mayuzumi H, Kato S, Minokoshi Y, Otsubo T, Kawamura YI, et al. Enhancement of leptin receptor signaling by SOCS3 deficiency induces development of gastric tumors in mice. Oncogene. (2014) 33:74–84. doi: 10.1038/onc.2012.540

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Kumari N, Dwarakanath BS, Das A, Bhatt AN. Role of interleukin-6 in cancer progression and therapeutic resistance. Tumour Biol. (2016) 37:11553–72. doi: 10.1007/s13277-016-5098-7

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Kurzrock R, Voorhees PM, Casper C, Furman RR, Fayad L, Lonial S, et al. A phase I, open-label study of siltuximab, an anti-IL-6 monoclonal antibody, in patients with B-cell non-Hodgkin lymphoma, multiple myeloma, or castleman disease. Clin Cancer Res. (2013) 19:3659–70. doi: 10.1158/1078-0432.CCR-12-3349

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Orlowski RZ, Gercheva L, Williams C, Sutherland H, Robak T, Masszi T, et al. A phase 2, randomized, double-blind, placebo-controlled study of siltuximab (anti-IL-6 mAb) and bortezomib versus bortezomib alone in patients with relapsed or refractory multiple myeloma. Am J Hematol. (2015) 90:42–9. doi: 10.1002/ajh.23868

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Karkera J, Steiner H, Li W, Skradski V, Moser PL, Riethdorf S, et al. The anti-interleukin-6 antibody siltuximab down-regulates genes implicated in tumorigenesis in prostate cancer patients from a phase I study. Prostate. (2011) 71:1455–65. doi: 10.1002/pros.21362

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Rossi JF, Négrier S, James ND, Kocak I, Hawkins R, Davis H, et al. A phase I/II study of siltuximab (CNTO 328), an anti-interleukin-6 monoclonal antibody, in metastatic renal cell cancer. Br J Cancer. (2010) 103:1154–62. doi: 10.1038/sj.bjc.6605872

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Dijkgraaf EM, Santegoets SJ, Reyners AK, Goedemans R, Wouters MC, Kenter GG, et al. A phase I trial combining carboplatin/doxorubicin with tocilizumab, an anti-IL-6R monoclonal antibody, and interferon-α2b in patients with recurrent epithelial ovarian cancer. Ann Oncol. (2015) 26:2141–9. doi: 10.1093/annonc/mdv309

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Yu H, Jove R. The STATs of cancer–new molecular targets come of age. Nat Rev Cancer. (2004) 4:97–105. doi: 10.1038/nrc1275

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Pan YM, Wang CG, Zhu M, Xing R, Cui JT, Li WM, et al. STAT3 signaling drives EZH2 transcriptional activation and mediates poor prognosis in gastric cancer. Mol Cancer. (2016) 15:79. doi: 10.1186/s12943-016-0561-z

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Pectasides E, Egloff AM, Sasaki C, Kountourakis P, Burtness B, Fountzilas G, et al. Nuclear localization of signal transducer and activator of transcription 3 in head and neck squamous cell carcinoma is associated with a better prognosis. Clin Cancer Res. (2010) 16:2427–34. doi: 10.1158/1078-0432.CCR-09-2658

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Tong M, Wang J, Jiang N, Pan H, Li D. Correlation between p-STAT3 overexpression and prognosis in lung cancer: a systematic review and meta-analysis. PLoS ONE. (2017) 12:e0182282. doi: 10.1371/journal.pone.0182282

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Wu P, Wu D, Zhao L, Huang L, Shen G, Huang J, et al. Prognostic role of STAT3 in solid tumors: a systematic review and meta-analysis. Oncotarget. (2016) 7:19863–83. doi: 10.18632/oncotarget.7887

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kong H, Zhang Q, Zeng Y, Wang H, Wu M, Zheng T, et al. Prognostic significance of STAT3/phosphorylated-STAT3 in tumor: a meta-analysis of literatures. Int J Clin Exp Med. (2015) 8:8525–39.

PubMed Abstract | Google Scholar

39. Furtek SL, Backos DS, Matheson CJ, Reigan P. Strategies and approaches of targeting STAT3 for cancer treatment. ACS Chem Biol. (2016) 11:308–18. doi: 10.1021/acschembio.5b00945

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Okusaka T, Ueno H, Ikeda M, Mitsunaga S, Ozaka M, Ishii H, et al. Phase 1 and pharmacological trial of OPB-31121, a signal transducer and activator of transcription-3 inhibitor, in patients with advanced hepatocellular carcinoma. Hepatol Res. (2015) 45:1283–91. doi: 10.1111/hepr.12504

PubMed Abstract | CrossRef Full Text | Google Scholar