[HTML][HTML] Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset

JH Hong, HW Cho, YT Ouh, JK Lee… - Journal of Gynecologic …, 2022 - ncbi.nlm.nih.gov
JH Hong, HW Cho, YT Ouh, JK Lee, Y Chun, JA Gim
Journal of Gynecologic Oncology, 2022ncbi.nlm.nih.gov
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 …
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
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