Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy tissues, provide critical information at molecular levels that can be used to differentiate aggressive tumors from indolent tumors. In this study, we analyzed 52 TAN samples from the Cancer Genome Atlas (TCGA) prostate cancer patients and developed a 10-gene prognostic model that can accurately predict biochemical recurrence-free survival based on the profiles of these genes in TAN tissues. The predictive ability was validated using TAN samples from an independent cohort. These 10 prognostic genes in tumor microenvironment are different from the prognostic genes detected in tumor tissues, indicating distinct progression-related mechanisms in two tissue types. Bioinformatics analysis showed that the prognostic genes in tumor microenvironment were significantly enriched by p53 signaling pathway, which may represent the crosstalk tunnels between tumor and its microenvironment and pathways involving cell-to-cell contact and paracrine/endocrine signaling. The insight acquired by this study has advanced our knowledge of the potential role of tumor microenvironment in prostate cancer progression.
Frontiers in oncology. 2021 Sep 23*** epublish ***
Rui Zhou, Yuanfa Feng, Jianheng Ye, Zhaodong Han, Yuxiang Liang, Qingbiao Chen, Xiaoming Xu, Yuhan Huang, Zhenyu Jia, Weide Zhong
School of Medicine, South China University of Technology, Guangzhou, China., Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China., Affiliated Foshan Hospital of Southern Medical University, Southern Medical University, Foshan, China., Department of Urology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China., Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, United States., Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, United States.