• Xiazi Nie, Lina Song, Xiaohua Li, Yirong Wang, and Bo Qu.
• Department of Obstetrics and Gynaecology, Gansu Provincial Hospital, Lanzhou City, Gansu Province, China.
• Medicine (Baltimore). 2021 Jul 16; 100 (28): e26574e26574.

BackgroundOvarian cancer is one of the lethal gynecological diseases in women. However, using tumor microenvironment related genes to identify prognostic signature of ovarian cancer has not been discussed in detail.MethodsThe mRNA profiles of 386 ovarian cancer patients were retrieved from The Cancer Genome Atlas. Univariate Cox regression and LASSO Cox regression analyses were performed and 14 optimized prognostic genes related to tumor microenvironment were identified.ResultsThe multivariate Cox hazards regression showed risk score was an independent prognostic signature for ovarian cancer. Nomogram model could reliably predict the patients' survival. Furthermore, M1 macrophages, M2 macrophages, and follicular helper T cells, differentially expressed between the high- and low-risk groups, were found to be associated with the risk score.ConclusionCTL-associated antigen 4 (CTLA4) and indoleamine 2,3-Dioxygenase 1 (IDO1), which were previously shown to be important immune checkpoints, probably contribute to the immunosuppressive microenvironment aberration. This study may shed light on the prognosis of ovarian cancer.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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