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Article

Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.

Genome medicine - 3 Jul 2026

Muranen Taru A, Hainari Andreas, Afenteva Daria, Senkowski Wojciech, Oikkonen Jaana, Dreo Johann, Driva Kyriaki, Holmström Susanna, Isoviita Veli-Matti, Lahtinen Alexandra, Lavikka Kari, Li Yilin, Lovino Marta, Maarala Ilari, Marchi Giovanni, Miccolis Francesca, Micoli Giulia, Najm Matthieu, Ostwaldt Ann-Christin, Rodriguez-Mier Pablo, Söderlund Jenni, Hietanen Sakari, Virtanen Anni, Saez-Rodriguez Julio, Ficarra Elisa, Schwikowski Benno, Alanne Erika, Wennerberg Krister, Hautaniemi Sampsa, Hynninen Johanna

Abstract excerpt

BACKGROUND: Precision oncology aims to tailor treatment according to tumor-specific molecular alterations, but the success of aberration-guided therapies has been limited in clinical trials. Here, we develop an integrated whole-genome and transcriptome workflow to systematically distinguish functionally credible, predictive driver aberrations from non-functional alterations across all classes of genomic events....

Read the complete abstract on PubMed

Topics

Humans
Female
Ovarian Neoplasms

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Biomarkers, Tumor

Multiomics

Gene Expression Profiling

Transcriptome

Mutation

Genomics

Source

Open in PubMed Open full text

Identifiers

PMID: 42400003
DOI: 10.1186/s13073-026-01706-x
PMCID: PMC13579925

Genes

KRAS
NF1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 24 Oct 2026.

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