Yuan Yuan, Liu Lingxiang, Chen Hu, Wang Yumeng, Xu Yanxun, Mao Huzhang, Li Jun, Mills Gordon B, Shu Yongqian, Li Liang, Liang Han
Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Cancer Cell. 2016 May 9;29(5):711-722. doi: 10.1016/j.ccell.2016.04.001.
An individual's sex has been long recognized as a key factor affecting cancer incidence, prognosis, and treatment responses. However, the molecular basis for sex disparities in cancer remains poorly understood. We performed a comprehensive analysis of molecular differences between male and female patients in 13 cancer types of The Cancer Genome Atlas and revealed two sex-effect groups associated with distinct incidence and mortality profiles. One group contains a small number of sex-affected genes, whereas the other shows much more extensive sex-biased molecular signatures. Importantly, 53% of clinically actionable genes (60/114) show sex-biased signatures. Our study provides a systematic molecular-level understanding of sex effects in diverse cancers and suggests a pressing need to develop sex-specific therapeutic strategies in certain cancer types.
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