Shu Sen Wang
Sun Yat-sen University
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Featured researches published by Shu Sen Wang.
Oncotarget | 2015
Tao Qin; Yin Duo Zeng; Ge Qin; Fei Xu; Jia Bin Lu; Wen Feng Fang; Cong Xue; Jian Hua Zhan; Xin Ke Zhang; Qiu Fan Zheng; Rou Jun Peng; Zhong Yu Yuan; Li Zhang; Shu Sen Wang
Background To investigate the role of PD-L1 expression in tumor recurrence and metastasis in Chinese patients with breast cancer. Methods Suitable tissue samples were available from 870 patients with breast cancer. Paraffin-embedded tumor sections were stained with PD-L1 antibody. The correlations between PD-L1 expression and clinical characteristics, ER/PR/HER2 status and survival parameters were analyzed. Kaplan-Meier and univariate Cox proportional hazards model analyses were used to compare the survival of patients with high PD-L1 expression and patients with no PD-L1 expression. Results The median follow-up time was 98 months(range, 17–265 months). The positive rate of PD-L1 expression in breast cancer was 21.7% (189/870). PD-L1 high expression was inversely associated with larger tumor size, higher tumor grade, more positive lymph node number, as well as negative ER and PR status. PD-L1 expression was particularly higher in TNBC compared with non-TNBC, although no statistical significance was observed. Nomogram logistic regression results based on clinical and pathological features showed that the following factors were more likely associated with high PD-L1 expression: patient age younger than 35 years, larger tumor size, lymphovascular invasion and advanced stage. Our data indicated that patients with high PD-L1 expression had poor DFS, DMFS and overall survival compared with those with no PD-L1 expression. Univariate Cox proportional hazards model analysis showed that PD-L1 was an independent prognostic factor for tumor prognosis. Conclusions PD-L1 expression is an important indicator of unfavorable prognosis in breast cancer patients.
Chinese Journal of Cancer | 2014
Jing Wei; Yu Ting Tan; Yu Cen Cai; Zhong Yu Yuan; Dong Yang; Shu Sen Wang; Rou Jun Peng; Xiao Yu Teng; Dong Geng Liu; Yan Xia Shi
The local recurrence rate of phyllodes tumors of the breast varies widely among different subtypes, and distant metastasis is associated with poor survival. This study aimed to identify factors that are predictive of local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and overall survival (OS) in patients with phyllodes tumors of the breast. Clinical data of all patients with a phyllodes tumor of the breast (n = 192) treated at Sun Yat-sen University Cancer Center between March 1997 and December 2012 were reviewed. The Pearson χ2 test was used to investigate the relationship between clinical features of patients and histotypes of tumors. Univariate and multivariate Cox regression analyses were performed to identify factors that are predictive of LRFS, DMFS, and OS. In total, 31 (16.1%) patients developed local recurrence, and 12 (6.3%) developed distant metastasis. For the patients who developed local recurrence, the median age at the diagnosis of primary tumor was 33 years (range, 17-56 years), and the median size of primary tumor was 6.0 cm (range, 0.8-18 cm). For patients who developed distant metastasis, the median age at the diagnosis of primary tumor was 46 years (range, 24-68 years), and the median size of primary tumor was 5.0 cm (range, 0.8-18 cm). In univariate analysis, age, size, hemorrhage, and margin status were found to be predictive factors for LRFS (P = 0.009, 0.024, 0.004, and 0.001, respectively), whereas histotype, epithelial hyperplasia, margin status, and local recurrence were predictors of DMFS (P = 0.001, 0.007, 0.007, and < 0.001, respectively). In multivariate analysis, independent prognostic factors for LRFS included age [hazard ratio (HR) = 3.045, P = 0.005], tumor size (HR = 2.668, P = 0.013), histotype (HR = 1.715, P = 0.017), and margin status (HR = 4.530, P< 0.001). Histotype (DMFS: HR = 4.409, P = 0.002; OS: HR = 4.194, P = 0.003) and margin status (DMFS: HR = 2.581, P = 0.013; OS: HR = 2.507, P = 0.020) were independent predictors of both DMFS and OS. In this cohort, younger age, a larger tumor size, a higher tumor grade, and positive margins were associated with lower rates of LRFS. Histotype and margin status were found to be independent predictors of DMFS and OS.
OncoTargets and Therapy | 2014
Zhong Yu Yuan; Ting Dai; Shu Sen Wang; Rou Jun Peng; Xing Hua Li; Tao Qin; Li Bing Song; Xi Wang
Background Patients with triple-negative breast cancer (TNBC) present a higher probability of distant metastasis and lack of effective targeted therapy. ETS translocation variant 4 (ETV4) is an ETS (E-26) transcription factor and has been associated with tumor metastasis. However, the clinical and functional significance of ETV4 in TNBC still remains unclear. Methods A human tumor metastasis polymerase chain reaction array was used to profile differential expression of tumor metastasis-related genes in TNBC tissue. Real-time reverse transcription and Western blot analyses were performed to verify ETV4 expression in TNBC cells and tissue. Immunohistochemistry was used to detect expression of ETV4 protein in 135 TNBC tissue samples for association between ETV4 protein expression and clinical outcomes. Results A total total of eight upregulated (CCL7, KISS1, MET, MMP7, NR4A3, ETV4, TIMP3, and TSHR) and three downregulated (ITGA7, SSTR, and MMP2) genes were identified between TNBC tissue and the luminal subtype of breast cancer tissue. ETV4 messenger ribonucleic acid was more than five-fold upregulated in TNBC tissue compared with the control tissue. ETV4 overexpression was found in 57.0% of 135 TNBC cases. Overexpression of ETV4 protein was associated with an advanced stage and a higher proportion of positive lymph node and lymphovascular invasion. Patients with an ETV4-overexpressed tumor had a significantly higher risk of developing distant metastasis (P<0.0001) and shorter overall survival and disease-free survival. Overexpression of ETV4 protein was an independent predictor of short disease-free survival of TNBC patients (P=0.021). Conclusion Overexpression of ETV4 protein increases risk of developing distant metastasis and results in a poor prognosis for TNBC patients. Thus, ETV4 might be a novel target for developing an alternative therapeutic strategy for prevention of TNBC distant metastasis.
Disease Markers | 2015
Hang Yang; Wen Qi Jiang; Ye Cao; Yong An Sun; Jing Wei; Xin An; Ying Chun Zhang; Ming Song; Shu Sen Wang; Zhong Yu Yuan; Rou Jun Peng; Tan Huan Chen; Li Ren Li; Yan Xia Shi
Aim. Data from The Cancer Genome Atlas (TCGA) show that the ZNF703 gene amplifies and overexpresses in head and neck squamous cell carcinomas (HNSCC). However, the clinical relevance of this observation in HNSCC is unclear. The purpose of this study was to clarify the expression of ZNF703 protein and its prognostic effect on HNSCC. Methods. Two hundred ten HNSCC patients from Sun Yat-Sen University Cancer Center with complete survival follow-up were included in this study. Tumor samples from primary sites were collected. The expression of the ZNF703 protein was tested by immunohistochemistry (IHC). Results. The high expression of ZNF703 in HNSCC tumor tissues was significantly higher than that of the matched noncancerous tissues (48.6% versus 11.6%, P < 0.001). ZNF703 overexpression was correlated with tumor position (laryngeal carcinoma) and recurrence (all P < 0.05). Multivariate analysis revealed that ZNF703 protein overexpression was an independent prognostic factor (P = 0.022, hazard ratio = 1.635, 95% CI 1.073–2.493) in HNSCC patients. Conclusion. ZNF703 overexpression is associated with adverse prognosis in HNSCC, which might be a novel biomarker of HNSCC.
Journal of Breast Cancer | 2015
Cong Xue; Rou Jun Peng; Shu Sen Wang; Yan Xia Shi; Xin An; Fei Xu; Zhong Yu Yuan
Purpose This study investigated the clinicopathological features of operable breast cancer lesions located in different hemispheres of the breast and determined related survival outcomes. Methods Data from 5,330 patients with invasive ductal carcinoma were retrospectively analyzed based on tumor location. Results The median follow-up time was 68 months (range, 18-176 months). Patients with breast cancer located in the outer hemisphere of the breast had lesions with more advanced nodal stages and more frequently received adjuvant chemotherapy than patients with breast cancer in the inner hemisphere. The 5-year disease-free survival (DFS) rates of patients with tumors located in outer versus inner hemispheres were 81.5% and 77.0%, respectively (p=0.004); the overall survival (OS) rates were 90.7% and 88.8%, respectively (p<0.001). The association between tumor location and the 5-year DFS rate was most apparent in node-positive patients (73.1% vs. 65.8% for outer vs. inner hemisphere lesions, p<0.001) and in patients with primary tumors greater than 2 cm in diameter (78.2% vs. 72.3%, p=0.002). Multivariate analysis showed that tumor location was an independent predictor of DFS (hazard ratio [HR], 1.23; p=0.002) and OS (HR, 1.28; p=0.006). There were no significant differences in 5-year DFS or OS rates between patients with outer versus inner hemisphere tumors when internal mammary node irradiation was performed. Conclusion This study demonstrated that tumor location was an independent prognostic factor for operable breast cancer. Internal mammary node irradiation is recommended for patients with breast cancer of the inner hemisphere and positive axillary lymph nodes or large primary tumors.
Journal of Cancer Research and Clinical Oncology | 2012
Yan Xia Shi; Qing Xia; Rou Jun Peng; Zhong Yu Yuan; Shu Sen Wang; Xin An; Ye Cao; Yu Ting Tan; Ying Jin; Xiu Yu Cai; Yue li Sun; Xiao Yu Teng; Dong Geng Liu; Wen Qi Jiang
Chinese journal of oncology | 2006
Shu Sen Wang; Yan qun Xiang; B. Wang; Tong Yu Lin; Wen Qi Jiang; Li Zhang; Hui zhong Zhang; Jing Hui Hou
Chinese journal of cancer | 2007
Ya Bing Cao; Shu Sen Wang; Hui Qiang Huang; Guang Chuan Xu; You Jian He; Tong Yu Lin
Chinese journal of cancer | 2008
Zhong Yu Yuan; Shu Sen Wang; Yan Gao; Zheng Yan Su; Wen Biao Luo
Chinese Journal of Cancer | 2010
Bing Bai; Zhong Yu Yuan; Dong Geng Liu; Xiao Yu Teng; Shu Sen Wang