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KMID : 1137020220330030029
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Journal of Gynecologic Oncology
2022 Volume.33 No. 3 p.29 ~ p.29
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Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset
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Hong Jin-Hwa
Cho Hyun-Woong
Ouh Yung-Taek
Lee Jae-Kwan
Chun Yi-Kyeong
Gim Jeong-An
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Abstract
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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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KEYWORD
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Endometrial Cancer, Survival Analysis, PPP2R1A, TP53
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