25 22

Cited 0 times in

Cited 0 times in

Genomic alterations linked to recurrence risk in high-grade serous ovarian cancer revealed by deep targeted sequencing

Authors
 Park, Young-Hoon  ;  Park, Seong-Woo  ;  Kim, Jee-Whan  ;  Lee, Yoo-Kyung  ;  Cho, Hanbyoul  ;  Park, In-Ho  ;  Han, Mi-Ryung  ;  Kim, Jae-Hoon 
Citation
 SCIENTIFIC REPORTS, Vol.15(1), 2025-12 
Article Number
 44155 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2025-12
Keywords
High-grade serous ovarian carcinoma ; Next-generation sequencing ; Targeted sequencing ; NF1 ; ROS1 ; TMB
Abstract
High-grade serous ovarian cancer (HGSOC) is a highly fatal disease with frequent recurrence and high mortality rates, despite ongoing treatment advancements. Next-generation sequencing (NGS) is an experimental technique used to obtain extensive genetic information, making it a key component of precision medicine. We conducted a study based on a sample of 108 patients with HGSOC retrospectively selected from Severance Hospital and Gangnam Severance Hospital. We aimed to identify the genetic alterations associated with HGSOC recurrence and survival using deep targeted sequencing. Somatic mutations in NF1, FAT1, ROS1, NOTCH3, and BLM are more common in recurrent ovarian cancer. Differences in copy number variations (CNVs) and gene fusion events were also observed. Using multivariable stepwise logistic regression, we found that the presence of exonic mutations in the NF1 and ROS1 genes and a tumor mutational burden (TMB) value >= 10 were significantly associated with recurrence in HGSOC patients. High TMB (TMB >= 10), Del 13q14.3 mutation, and exonic mutations in NOTCH3, NF1, ROS1, ATM, FAT1, and SLX4 genes were associated with recurrence-free survival (RFS), while the ARID1A gene was observed to be associated with overall survival. This study identified key genetic alterations associated with recurrence and survival in HGSOC and confirmed that specific genetic mutations were linked to disease prognosis. We expect that these findings will contribute to more precise prognosis prediction and the development of personalized therapeutic strategies for patients with recurrent ovarian cancer.
Files in This Item:
91033.pdf Download
DOI
10.1038/s41598-025-26481-4
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Obstetrics and Gynecology (산부인과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jae Hoon(김재훈) ORCID logo https://orcid.org/0000-0001-6599-7065
Kim, Jee Whan(김지환)
Park, Inho(박인호)
Lee, Yoo Kyung(이유경)
Cho, Hanbyoul(조한별) ORCID logo https://orcid.org/0000-0002-6177-1648
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/210144
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links