Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients
6 affiliations
- 1Key Laboratory of Reproductive Health Diseases Research and Translation of Ministry of Education & Key Laboratory for Human Reproductive Medicine and Genetic Research of Hainan Province, The First Affiliated Hospital of Hainan Medical University, School of Intelligent Medicine And Technology (Big Data Research Center), Hainan Medical University, Haikou, China
- 2Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 3Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 4School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China
- 5Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
- 6Department of Gynecology, First Affiliated Hospital, Shihezi University, Shihezi, China
Abstract
Genomic or transcriptomic sequencing guides the precision of cervical cancer (CC) diagnosis; however, the molecular profile of Asian patients remains poorly understood. We established a comprehensive multi-omics cohort comprising 112 tumor-normal adjacent tissue pairs from Chinese CC patients. Our integrated analysis revealed a mutational burden comparable to other populations, with three major mutational signatures primarily attributed to APOBEC-associated, age-associated, and DNA repair-associated biological categories. Multi-omics profiling elucidated the functional consequences of somatic mutations and copy number variations, identifying PIK3CA, EP300, and MPRIP as key driver events. We further uncovered both concordant and discordant activation patterns across cancer-related signaling pathways. Transcriptomic and proteomic analyses nominated cell cycle regulation, epithelial-mesenchymal transition, and LAMC2 as promising diagnostic and therapeutic targets. Comprehensive immune characterization enabled stratification of patients into three major immune phenotypes with varying microenvironmental profiles. This study provides valuable resources and novel insights into the molecular architecture of cervical cancer in the Chinese population, identifying potential biomarkers to guide precision detection and immunotherapy strategies.
While cervical cancer is a major cause of cancer mortality in women, the molecular basis of disease heterogeneity in Asian populations remains unclear. This study identifies key molecular pathways and biomarkers from multi-omics profiles of 112 Chinese patient samples to guide therapeutic strategies.
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BibTeX
@article{pan2026integrated,
title = {{Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients}},
author = {Tao Pan and Xucui Zhuang and Ya Zhang and Jiyu Guo and Si Li and Can Zhang and Lili Han and Fuxia Li and Yueying Gao and Jinyang Yu and Yongsheng Li and Chaoyang Sun},
journal = {PLOS Biology},
year = {2026},
month = oct,
doi = {10.1371/journal.pbio.3004029},
url = {https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3004029},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients
AU - Tao Pan
AU - Xucui Zhuang
AU - Ya Zhang
AU - Jiyu Guo
AU - Si Li
AU - Can Zhang
AU - Lili Han
AU - Fuxia Li
AU - Yueying Gao
AU - Jinyang Yu
AU - Yongsheng Li
AU - Chaoyang Sun
PY - 2026
DA - 2026/10/05
JO - PLOS Biology
DO - 10.1371/journal.pbio.3004029
UR - https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3004029
AB - Genomic or transcriptomic sequencing guides the precision of cervical cancer (CC) diagnosis; however, the molecular profile of Asian patients remains poorly understood. We established a comprehensive multi-omics cohort comprising 112 tumor-normal adjacent tissue pairs from Chinese CC patients. Our integrated analysis revealed a mutational burden comparable to other populations, with three major mutational signatures primarily attributed to APOBEC-associated, age-associated, and DNA repair-associated biological categories. Multi-omics profiling elucidated the functional consequences of somatic mutations and copy number variations, identifying PIK3CA, EP300, and MPRIP as key driver events. We further uncovered both concordant and discordant activation patterns across cancer-related signaling pathways. Transcriptomic and proteomic analyses nominated cell cycle regulation, epithelial-mesenchymal transition, and LAMC2 as promising diagnostic and therapeutic targets. Comprehensive immune characterization enabled stratification of patients into three major immune phenotypes with varying microenvironmental profiles. This study provides valuable resources and novel insights into the molecular architecture of cervical cancer in the Chinese population, identifying potential biomarkers to guide precision detection and immunotherapy strategies. While cervical cancer is a major cause of cancer mortality in women, the molecular basis of disease heterogeneity in Asian populations remains unclear. This study identifies key molecular pathways and biomarkers from multi-omics profiles of 112 Chinese patient samples to guide therapeutic strategies.
SN - 1545-7885
ER -