5-hydroxymethylcytosine signatures of tissue as potential predictive markers for platinum resistance in epithelial ovarian cancer patients

Platinum-based systemic therapy is the cornerstone of treatment for epithelial ovarian cancer (EOC). Although most patients initially respond to platinum-based therapy, they eventually develop drug resistance after multiple relapses. Currently, there is no effective method to predict platinum resistance in EOC patients. We collected EOC tissues from 50 patients, including 15 drug-resistant (DR) and 35 drug-sensitive (unDR) individuals. Genomic DNA (gDNA) was extracted from the cancer tissues for 5-hydroxymethylcytosine (5hmC) sequencing. Concurrently, we performed 5hmC-Seal on the cisplatin-sensitive ovarian carcinoma cell line A2780 and its isogenic cisplatin-resistant derivative, A2780-DDP. Differentially hydroxymethylated regions (DhMRs) were identified separately, and the intersection of these differentially modified genes was used to construct platinum resistance and prognosis prediction models via logistic regression. We identified 27 upregulated and 19 downregulated differentially expressed intersection genes, totaling 46 differentially hydroxymethylated insection genes. Each patient group was divided into training and validation cohorts for model development and validation. In this predictive model, we selected 12 5hmC markers to distinguish platinum resistance in EOC patients and 10 5hmC markers to differentiate between patients with short overall survival (OS ≤ 36 months, n = 16) and long OS (OS > 36 months, n = 34). The area under the curve (AUC) values were 0.937 (95% CI 0.733–1.000) and 0.971 (95% CI 0.785–1.000), respectively. We used 5hmC-Seal to detect differential changes associated with platinum resistance and sensitivity in EOC on the tissue and cell line levels. These 5hmC signatures represented promising preliminary predictive markers for platinum resistance and clinical outcomes in patients with EOC.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-14
DOI
https://doi.org/10.1038/s41598-026-47912-w
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

5-hydroxymethylcytosine signatures of tissue as potential predictive markers for platinum resistance in epithelial ovarian cancer patients

易湛苗, Mengzhu Zheng, Cuiyu Huang, Zhanqun Yang et al.
Scientific Reports
Inflammatory Biomarkers in Disease Prognosis
article

5-hydroxymethylcytosine signatures of tissue as potential predictive markers for platinum resistance in epithelial ovarian cancer patients

易湛苗, Mengzhu Zheng, Cuiyu Huang, Zhanqun Yang, Libo Zhao, Yuan Xue, Jian Lin, Hui Li, Shengbo Xu, Hongyan Guo, Long Chen, Ping Yu
article en

Abstract

Platinum-based systemic therapy is the cornerstone of treatment for epithelial ovarian cancer (EOC). Although most patients initially respond to platinum-based therapy, they eventually develop drug resistance after multiple relapses. Currently, there is no effective method to predict platinum resistance in EOC patients. We collected EOC tissues from 50 patients, including 15 drug-resistant (DR) and 35 drug-sensitive (unDR) individuals. Genomic DNA (gDNA) was extracted from the cancer tissues for 5-hydroxymethylcytosine (5hmC) sequencing. Concurrently, we performed 5hmC-Seal on the cisplatin-sensitive ovarian carcinoma cell line A2780 and its isogenic cisplatin-resistant derivative, A2780-DDP. Differentially hydroxymethylated regions (DhMRs) were identified separately, and the intersection of these differentially modified genes was used to construct platinum resistance and prognosis prediction models via logistic regression. We identified 27 upregulated and 19 downregulated differentially expressed intersection genes, totaling 46 differentially hydroxymethylated insection genes. Each patient group was divided into training and validation cohorts for model development and validation. In this predictive model, we selected 12 5hmC markers to distinguish platinum resistance in EOC patients and 10 5hmC markers to differentiate between patients with short overall survival (OS ≤ 36 months, n = 16) and long OS (OS > 36 months, n = 34). The area under the curve (AUC) values were 0.937 (95% CI 0.733–1.000) and 0.971 (95% CI 0.785–1.000), respectively. We used 5hmC-Seal to detect differential changes associated with platinum resistance and sensitivity in EOC on the tissue and cell line levels. These 5hmC signatures represented promising preliminary predictive markers for platinum resistance and clinical outcomes in patients with EOC.

Scientific Reports
Peking University (CN), Hainan University (CN), Peking University Cancer Hospital (CN), Peking University Third Hospital (CN), Beijing Haidian Hospital (CN), Hainan Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 11%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.