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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.
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Details
; Bankel, Lorenz 2
; Festl, Yasmin 1 ; Lau, Kate 1 ; Lee, Sohyon 1 ; Arnold, Fabian 3 ; Cappelletti, Valentina 1 ; Fehr, Aaron 1
; Picotti, Paola 1 ; Dedes, Konstantin J. 4 ; Franzen, Daniel 5 ; Lenggenhager, Daniela 3
; Bode, Peter K. 3 ; Zoche, Martin 3
; Moch, Holger 6
; Britschgi, Christian 7 ; Snijder, Berend 8
1 ETH Zurich, Institute of Molecular Systems Biology, Department of Biology, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780)
2 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)
3 University Hospital Zurich, Department of Pathology and Molecular Pathology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977)
4 University Hospital Zurich, Department of Gynecology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977)
5 University Hospital Zurich, Department of Pulmonology, Zurich, Switzerland (GRID:grid.412004.3) (ISNI:0000 0004 0478 9977)
6 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)
7 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)
8 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)




