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Cited 4 time in webofscience Cited 3 time in scopus
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Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) datasetopen access

Authors
Hong, Jin HwaCho, Hyun WoongOuh, Yung-TaekLee, Jae KwanChun, YikyeongGim, Jeong-An
Issue Date
May-2022
Publisher
대한부인종양학회
Keywords
Endometrial Cancer; Survival Analysis; PPP2R1A; TP53
Citation
Journal of Gynecologic Oncology, v.33, no.3
Indexed
SCIE
SCOPUS
KCI
Journal Title
Journal of Gynecologic Oncology
Volume
33
Number
3
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/60895
DOI
10.3802/jgo.2022.33.e29
ISSN
2005-0380
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 Somatic mutation patterns of 38 genes were identified in 263 EC samples, and the most commonly mutated genes were PTEN and PIK3CA. PTEN was the most common in endometrioid histology, while PPP2R1A was the most commonly mutated gene in serous histology. The mutation rates of PPP2R1A and TP53 were significantly higher in advanced EC sample than in stage I samples (22.5% vs. 4.3% [p<0.001] and 8.4% vs. 1.4% [p=0.021], respectively). Survival analysis of the total population and endometrioid subgroup revealed that patients with PPP2R1A mutations had significantly shorter survival than did those without mutations (p=0.005 and p<0.001, respectively). Conclusion PPP2R1A mutations might have a role in dismal prognosis of advanced EC.
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5. Others > Medical Science Research Management Center > 1. Journal Articles
2. Clinical Science > Department of Pathology > 1. Journal Articles
2. Clinical Science > Department of Obstetrics and Gynecology > 1. Journal Articles

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