Gene Co-Alterations and Survival Benefits in Ovarian Cancer Patients Receiving Platinum-Based Adjuvant Therapy: An Analysis of the Multi-Omics Approach

Ovarian cancer remains a formidable clinical challenge, with a high rate of recurrence and varied patient response to standard-of-care treatments, particularly platinum-based adjuvant therapy. The traditional reliance on single-biomarker analysis has proven insufficient to capture the complex biological heterogeneity of this disease. This review article explores the transformative role of a multi-omics approach integrating data from genomics, transcriptomics, proteomics, and other high-throughput platforms in unravelling the intricate molecular landscape of ovarian cancer. We summarize recent research that shows how a multi-omics approach can detect clinically important gene co-modifications, which are certain combinations of expression-level and genomic alterations that occur within a single tumor. The study focuses on how patients receiving platinum-based therapy have a higher chance of survival when these observed gene co-alterations are present. We go over the underlying molecular mechanisms that provide increased chemosensitivity, such as deficits in the accelerated DNA damage repair pathway and distinct biomarkers of the tumor microenvironment. We also discuss the bioinformatic developments and computational difficulties needed for successful multi-omics data integration. This review suggests that a multi-omics approach offers a potent new paradigm for prognostic stratification, tailored treatment selection, and the creation of next-generation predictive biomarkers, thus ushering in a new era of precision medicine for patients with ovarian cancer.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24029016
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
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article

Gene Co-Alterations and Survival Benefits in Ovarian Cancer Patients Receiving Platinum-Based Adjuvant Therapy: An Analysis of the Multi-Omics Approach

G. Rajeswari, Aggarapu Susmitha, Talamanchi Geethika, Pothuraju Ramudu et al.
2 links
Zenodo (CERN European Organization for Nuclear Research)
Ovarian cancer diagnosis and treatment
article

Gene Co-Alterations and Survival Benefits in Ovarian Cancer Patients Receiving Platinum-Based Adjuvant Therapy: An Analysis of the Multi-Omics Approach

G. Rajeswari, Aggarapu Susmitha, Talamanchi Geethika, Pothuraju Ramudu, R. Gayatri, Gireesh Kumar Eri, Dr. P.V. Kartheek Reddy
article en

Abstract

Ovarian cancer remains a formidable clinical challenge, with a high rate of recurrence and varied patient response to standard-of-care treatments, particularly platinum-based adjuvant therapy. The traditional reliance on single-biomarker analysis has proven insufficient to capture the complex biological heterogeneity of this disease. This review article explores the transformative role of a multi-omics approach integrating data from genomics, transcriptomics, proteomics, and other high-throughput platforms in unravelling the intricate molecular landscape of ovarian cancer. We summarize recent research that shows how a multi-omics approach can detect clinically important gene co-modifications, which are certain combinations of expression-level and genomic alterations that occur within a single tumor. The study focuses on how patients receiving platinum-based therapy have a higher chance of survival when these observed gene co-alterations are present. We go over the underlying molecular mechanisms that provide increased chemosensitivity, such as deficits in the accelerated DNA damage repair pathway and distinct biomarkers of the tumor microenvironment. We also discuss the bioinformatic developments and computational difficulties needed for successful multi-omics data integration. This review suggests that a multi-omics approach offers a potent new paradigm for prognostic stratification, tailored treatment selection, and the creation of next-generation predictive biomarkers, thus ushering in a new era of precision medicine for patients with ovarian cancer.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 17%
Ovarian cancer diagnosis and treatment
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