Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset
Jin Hwa Hong, Hyun‐Woong Cho, Yung‐Taek Ouh, Jae Kwan Lee, Yikyeong Chun, Jeong‐An Gim
Abstract
OBJECTIVE: Recent studies have detailed the genomic landscape of endometrial cancer (EC); however, no study has focused on genetic alterations in advanced EC. We performed genomic profiling of patients with advanced EC using targeted next-generation sequencing (NGS). METHODS: Archival tissue samples from 21 patients diagnosed with stage III and IV EC were obtained and subjected to NGS. Our data and the cancer genome atlas dataset were combined, and somatic mutation patterns were analyzed and compared according to the stage and histological type. Additionally, survival effects of specific mutated genes were analyzed. RESULTS: mutations had significantly shorter survival than did those without mutations (p=0.005 and p<0.001, respectively). CONCLUSION: mutations might have a role in dismal prognosis of advanced EC.