文献类型：期刊文献

英文题名：Reclassification of endometrial cancer and identification of key genes based on neural-related genes

作者：Chen, Fan[1];Qin, Tiansheng[1];Zhang, Yigan[2];Wei, Linzhen[1];Dang, Yamei[1];Liu, Peixia[3];Jin, Weilin[4]

第一作者：陈芳

通信作者：Qin, TS[1];Jin, WL[2]

机构：[1]Gansu Univ Chinese Med, Gansu Prov Hosp, Clin Med Coll 1, Lanzhou, Peoples R China;[2]Chinese Acad Sci, Inst Biophys, Key Lab RNA Biol, Beijing, Peoples R China;[3]Yuzhong Cty Hosp Tradit Chinese Med, Dept Obstet & Gynecol, Lanzhou, Peoples R China;[4]Lanzhou Univ, Hosp 1, Inst Canc Neurosci, Med Frontier Innovat Res Ctr,Clin Med Coll 1, Lanzhou, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Gansu Prov Hosp, Clin Med Coll 1, Lanzhou, Peoples R China;[2]corresponding author), Lanzhou Univ, Hosp 1, Inst Canc Neurosci, Med Frontier Innovat Res Ctr,Clin Med Coll 1, Lanzhou, Peoples R China.|[10735]甘肃中医药大学;

年份：2022

卷号：12

外文期刊名：FRONTIERS IN ONCOLOGY

收录：;Scopus(收录号：2-s2.0-85140087100);WOS:【SCI-EXPANDED(收录号:WOS:000868996500001)】；

基金：This work was in part supported by the Innovation and Entrepreneurship Talent Project of Lanzhou (2020-RC-52) and the "Innovation Fund" for graduate students of the First Clinical Medical College of Gansu University of Chinese Medicine (LCCX2021011).

语种：英文

外文关键词：Endometrial cancer; nerve-cancer crosstalk; immune infiltration; biomarker; neural-related genes (NRGs)

摘要：Endometrial cancer (EC) is the most common gynecologic malignancy, and its incidence has been increasing every year. Nerve signaling is part of the tumor microenvironment and plays an active role in tumor progression and invasion. However, the relationship between the expression of neural-related genes (NRGs) and prognosis in endometrial cancer remains unknown. In this study, we obtained RNA sequencing data of EC from The Cancer Genome Atlas (TCGA). Endometrial cancer was classified into two subtypes based on the expression of neural-associated genes (NRGs), with statistical differences in clinical stage, pathological grading, and prognosis. A prognostic prediction model was established by LASSO-Cox analysis, and the results showed that high expression of NRGs was associated with poor survival prognosis. Further, CHRM2, GRIN1, L1CAM, and SEMA4F were found to be significantly associated with clinical stage, immune infiltration, immune response, and important signaling pathways in endometrial cancer. The reclassification of endometrial cancer based on NRG expression would be beneficial for future clinical practice. The genes CHRM2, GRIN1, L1CAM, and SEMA4F might serve as potential biomarkers of EC prognosis.