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Molecular and functional landscape of malignant serous effusions for precision oncology.

Authors :
Wegmann, Rebekka
Bankel, Lorenz
Festl, Yasmin
Lau, Kate
Lee, Sohyon
Arnold, Fabian
Cappelletti, Valentina
Fehr, Aaron
Picotti, Paola
Dedes, Konstantin J.
Franzen, Daniel
Lenggenhager, Daniela
Bode, Peter K.
Zoche, Martin
Moch, Holger
Britschgi, Christian
Snijder, Berend
Source :
Nature Communications; 10/2/2024, Vol. 15 Issue 1, p1-21, 21p
Publication Year :
2024

Abstract

Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells from patient biopsies. Here, we comprehensively characterize a pan-cancer cohort of 150 malignant serous effusion (MSE) samples at the cellular, molecular, and functional level. We find that MSE-derived cancer cells retain the genomic and transcriptomic profiles of their corresponding primary tumors, validating their use as a patient-relevant model system for solid tumor biology. Integrative analyses reveal that baseline gene expression patterns relate to global ex vivo drug sensitivity, while high-throughput drug-induced transcriptional changes in MSE samples are indicative of drug mode of action and acquired treatment resistance. A case study exemplifies the added value of multi-modal MSE profiling for patients who lack genetically stratified treatment options. In summary, our study provides a functional multi-omics view on a pan-cancer solid tumor cohort and underlines the feasibility and utility of MSE-based precision oncology. Personalized treatment for cancer patients relies on the deep characterization of tumor cells from patient biopsies. In this study, functional multi-omics profiling of a pan-cancer cohort of malignant serous effusions (MSE) finds strong coherence between MSE and matched solid tumors, underlining the feasibility and utility of multi-modal MSE-based precision oncology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
180037163
Full Text :
https://doi.org/10.1038/s41467-024-52694-8