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Ying Chen,1,2,* Wen-Xia Li,1,2,* Jia-Hua Wu,1,2 Geng-Hang Chen,2 Chun-Min Yang,1,2 Hai Lu,1,2 Xi Wang,3 Shu-Sen Wang,4 Heng Huang,5 Li Cai,6 Li Zhao,7 Rou-Jun Peng,8 Ying Lin,9 Jun Tang,3 Jian Zeng,10 Le-Hong Zhang,11 Yong-Li Ke,12 Xian-Ming Wang,13 Xin-Mei Liu,14 An-Qin Zhang,15 Fei Xu,4 Xi-Wen Bi,4 Jia-Jia Huang,4 Ji-Bin Li,16 Dan-Mei Pang,17 Cong Xue,4 Yan-Xia Shi,4 Zhen-Yu He,18 Huan-Xin Lin,18 Xin An,4 Wen Xia,4 Ye Cao,16 Ying Guo,16 Ruo-Xi Hong,4 Kui-Kui Jiang,4 Yong-Yi Zhong,4 Ge Zhang,19 Piyawan Tienchaiananda,20 Masahiro Oikawa,21 Zhong-Yu Yuan,4 Qian-Jun Chen22,23 1Department of Breast Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, People’s Republic of China; 2Department of Breast Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China; 3Department of Breast Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 4Department of Medical Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 5Department of Breast Oncology, Lianjiang People’s Hospital, Lianjiang, People’s Republic of China; 6Department of Medical Oncology, The Affiliated Tumour Hospital of Harbin Medical University, Harbin, People’s Republic of China; 7Department of Breast Oncology, Guangzhou First People Hospital, Guangzhou, People’s Republic of China; 8Department of Integrated Therapy in Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 9Department of Breast Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Re

Li Wang,1,&ast; Yu-Ling Zhang,2,&ast; Chang Jiang,1,&ast; Fang-Fang Duan,1 Zhong-Yu Yuan,1 Jia-Jia Huang,1 Xi-Wen Bi1 1Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People’s Republic of China; 2Department of Endocrinology, Jiangxi Provincial People’s Hospital, Nanchang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xi-Wen Bi; Jia-Jia Huang, Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People’s Republic of China, Email bixw@sysucc.org.cn; huangjiaj@sysucc.org.cnBackground: The value of the lymphocyte-to-C-reactive protein (CRP) ratio (LCR) in early breast cancer (BC) is unclear. We explored the correlation between the LCR and survival of patients with early BC and established effective LCR-based prognostic signatures for predicting prognosis.Methods: In this retrospective study, we randomized 623 patients with early-stage BC diagnosed in December 2010 to October 2012 at the Sun Yat-sen University Cancer Center to training and verification datasets. The median follow-up of all patients was 109 months. The survival differences were calculated by Kaplan–Meier method using the Log rank test. For overall survival (OS) and disease-free survival (DFS), the independent factors in the training dataset were identified using univariate and multivariate Cox analyses, in which two-tailed P-values < 0.05 were considered statistically significant. Based on this, we respectively constructed novel signatures for survival prediction and validated the efficiency of signatures through the concordance index (C-index), calibration and receiver operating characteristic (ROC) curves in both datasets.Results: The LC

Zhong-Yu Yuan,1–3,* Ting Dai,1,2,* Shu-Sen Wang,1–3 Rou-Jun Peng,1–3 Xing-Hua Li,1,2 Tao Qin,1–3 Li-Bing Song,1,2 Xi Wang1,2,41State Key Laboratory of Oncology in South China, Guangzhou, People's Republic of China; 2Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China; 3Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China; 4Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China  *These authors contributed equally to this work 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 an

Zhong-Yu Yuan,1–3* Rong-Zhen Luo,1,2,4,* Rou-Jun Peng,1–3 Shu-Sen Wang,1–3 Cong Xue1–3 1State Key Laboratory of Oncology in South China, 2Collaborative Innovation Center for Cancer Medicine, 3Departments of Medical Oncology, Sun Yat-Sen University Cancer Center, 4Departments of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, People’s Republic of China  *These authors contributed equally to this work Background: Triple-negative breast cancer (TNBC) is associated with poor prognosis and high probability of distant metastases. Tumor microenvironments play a pivotal role in tumor metastasis. Tumor-associated macrophages (TAMs) are one of the main cell components, and they are correlated with increasing metastatic risk. The aim of this study is to analyze the prognostic significance of the infiltration of TAMs in patients with TNBC. Materials and methods: Immunohistochemical staining for cluster of differentiation (CD)68 (a marker for macrophages) was performed on tissue microarrays of operable breast cancer among 287 patients with TNBC, and the number of infiltrating TAMs was correlated with clinicopathological parameters. Results: We found that TNBC with a large number of infiltrating TAMs had a significantly higher risk of distant metastasis, as well as lower rates of disease-free survival and overall survival than those with a smaller number of infiltrating TAMs. Multivariate analysis indicated that the number of infiltrating TAMs was a significant independent prognostic factor of disease-free survival (P=0.001) in all patients. Conclusion: Our results suggested that high infiltrating TAMs are a significantly unfavorable prognostic factor for patients with TNBC, and they could become a potentially useful prognostic marker for TNBC. Keywords: breast carcinoma, triple-negative, tumor-associated macrophages, prognosis

Rong-Zhen Luo,1,2,* Zhong-Yu Yuan,1,3,* Mei Li,1,2 Shao-Yan Xi,1,2 Jia Fu,1,2 Jiehua He1,21State Key Laboratory of Oncology in South China, 2Department of Pathology, 3Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China*These authors contributed equally to this workBackground: Triple-negative breast cancer (TNBC) is associated with poor prognosis. There is an urgent need for elucidation of novel targets for TNBC therapy and to improve the prognosis of patients. The aim of this study was to evaluate the prognostic value of p62 expression in TNBC.Methods and results: Expression of p62 in tissue microarray was evaluated by immunohistochemistry in 163 patients with TNBC. The prognostic value of p62 expression was assessed by a Cox regression model adjusted for clinical characteristics. Overexpression of p62 was observed in 51 (31.3%) of 163 TNBC, and significantly correlated with advanced stage and a higher proportion of positive lymph nodes and lymphovascular invasion. A significant correlation was found between p62 expression and disease-free survival and overall survival. Accordingly, the 10-year distant metastasis-free survival for p62-overexpression and p62-underexpression patients were 58.9% and 92.5%, respectively (P<0.0001). Multivariate analysis indicated that p62-negative was a significant independent prognostic factor of disease-free survival (P=0.017), but not for overall survival (P=0.845) in all patients.Conclusion: Our results suggest that overexpression of p62 in TNBC is associated with a higher risk of distant metastases. This finding could open new avenues for the development of novel therapy strategies for TNBC.Keywords: triple-negative breast cancer, p62, prognosis, tissue microarrays