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International Journal of Women's Health Volume 13, 2021 - Issue
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Original Research

An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Breast Cancer

Jing Yuan1 Departments of Experimental Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Fangfang Duan2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-7887-5232View further author information
ORCID Icon,
Wenyu Zhai3 Departments of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Chenge Song2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Li Wang2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Wen Xia2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Xin Hua2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-2045-1293View further author information
ORCID Icon,
Zhongyu Yuan2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
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Xiwen Bi2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaView further author information
&
Jiajia Huang2 Departments of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence[email protected] [email protected]
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Pages 1053-1064 | Published online: 03 Nov 2021

Citations (7)

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Read on this site (2)

Xu Hong, Hui Liu, Chu Chen, Tian Lai & Jingui Lin. (2023) Bioinformatics Identification and Validation of Aging‑Related Molecular Subtype and Prognostic Signature in Sarcoma. Cancer Investigation 41:5, pages 512-523.
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Xin Hua, Fangfang Duan, Wenyu Zhai, Chenge Song, Chang Jiang, Li Wang, Jiajia Huang, Huanxin Lin & Zhongyu Yuan. (2022) A Novel Inflammatory-Nutritional Prognostic Scoring System for Patients with Early-Stage Breast Cancer. Journal of Inflammation Research 15, pages 381-394.
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Articles from other publishers (5)

Jingtai Li, Fangfang Gao, Jiezhi Su & Tao Pan. (2023) Bioinformatics identification and validation of aging‑related molecular subtype and prognostic signature in breast cancer. Medicine 102:19, pages e33605.
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Jian Li, Chunling Qi, Qing Li & Fei Liu. (2022) Construction and validation of an aging‐related gene signature for prognosis prediction of patients with breast cancer. Cancer Reports 6:3.
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Bo Liu, Huina Wang, Xin Wang, Junqi Long, Xujie Zhuang, Xinchan Ji, Nian Zhu, Jinmeng Li, Ting Gao, Xuehui Zhang, Jiangyong Yu & Shuangtao Zhao. (2022) Four‐gene signature based on machine learning filtration could predict prognosis of patients with breast cancer. Expert Systems 40:2.
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Jiaying Li, Chengpeng Gui, Haohua Yao, Chenggong Luo, Hongde Song, Haishan Lin, Quanhui Xu, Xu Chen, Yong Huang, Junhang Luo & Wei Chen. (2022) An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma. Frontiers in Genetics 13.
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Jie Zhu, Weikaixin Kong, Liting Huang, Shixin Wang, Suzhen Bi, Yin Wang, Peipei Shan & Sujie Zhu. (2022) MLSP: A bioinformatics tool for predicting molecular subtypes and prognosis in patients with breast cancer. Computational and Structural Biotechnology Journal 20, pages 6412-6426.
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