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.

Details

Title
Molecular and functional landscape of malignant serous effusions for precision oncology
Author
Wegmann, Rebekka 1   VIAFID ORCID Logo  ; Bankel, Lorenz 2   VIAFID ORCID Logo  ; Festl, Yasmin 1 ; Lau, Kate 1 ; Lee, Sohyon 1 ; Arnold, Fabian 3 ; Cappelletti, Valentina 1 ; Fehr, Aaron 1   VIAFID ORCID Logo  ; Picotti, Paola 1 ; Dedes, Konstantin J. 4 ; Franzen, Daniel 5 ; Lenggenhager, Daniela 3   VIAFID ORCID Logo  ; Bode, Peter K. 3 ; Zoche, Martin 3   VIAFID ORCID Logo  ; Moch, Holger 6   VIAFID ORCID Logo  ; Britschgi, Christian 7 ; Snijder, Berend 8   VIAFID ORCID Logo 

 ETH Zurich, Institute of Molecular Systems Biology, Department of Biology, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780) 
 ETH Zurich, Institute of Molecular Systems Biology, Department of Biology, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); University Hospital Zurich, Department of Medical Oncology and Hematology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977) 
 University Hospital Zurich, Department of Pathology and Molecular Pathology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977) 
 University Hospital Zurich, Department of Gynecology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977) 
 University Hospital Zurich, Department of Pulmonology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977) 
 Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); University Hospital Zurich, Department of Pathology and Molecular Pathology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); University of Zurich, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650) 
 University Hospital Zurich, Department of Medical Oncology and Hematology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); Cantonal Hospital Winterthur, Medical Oncology and Hematology, Winterthur, Switzerland (GRID:grid.452288.1) (ISNI:0000 0001 0697 1703) 
 ETH Zurich, Institute of Molecular Systems Biology, Department of Biology, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977); Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland (GRID:grid.419765.8) (ISNI:0000 0001 2223 3006) 
Pages
8544
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3112267287
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.