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A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy

Francis Jacob R. Wegmann Joanna Ficek-Pascual Ulrike Lischetti J. Kuipers S. Chevrier Michael Prummer Nora C. Toussaint I. Alborelli R. Coelho R. Casanova Sandra Goetze Gabriele Gut Monica-Andreea Baciu-Drăgan A. Bertolini Ximena Bonilla Jon Brugger Magdalena M. Brune Byron Calgua S. Engler Cinzia Esposito Pedro F. Ferreira Andrea Jacobs Flavio Lombardo Paola Malsot J. Mena N. Miglino Emanuela S. Milani Jacobo Sarabia del Castillo Sujana Sivapatham Bettina A Sobottka-Brillout Tanmay Tanna T. Zwimpfer Melike Faisal S. Silvana I. Jonas Sonali Per-Olof Monica- Ak Al-Quaddoomi Albert Albinus Andani Attinger Bac Melike Ak Faisal S. Al-Quaddoomi Silvana I. Albert Jonas B. Albinus S. Andani Per-Olof Attinger Monica-Andreea Baciu-Drăgan Daniel Baumhoer Beatrice Beck-Schimmer Lara Bernasconi A. Bertolini B. Bodenmiller Ximena Bonilla L. Bosshard N. Chicherova R. Coelho Maya D’Costa E. Danenberg Natalie R. Davidson Reinhard Dummer Martin Erkens Katja Eschbach Cinzia Esposito A. Fedier Joanna Ficek-Pascual Anja L. Frei Bruno Frey Sandra Goetze Linda Grob Gabriele Gut Detlef Günther P. Haeuptle V. Heinzelmann-Schwarz S. Herter René Holtackers Tamara Huesser A. Immer A. Irmisch Francis Jacob T. Jaeger K. Jahn A. R. James P. Jermann A. Kahles Abdullah Kahraman Werner Kuebler J. Kuipers C. P. Kunze C. Kurzeder K. Lehmann Mitchell Levesque Ulrike Lischetti Flavio Lombardo Sebastian Lugert Gerd Maass Philipp Markolin Martin Mehnert Julian M. Metzler Emanuela S. Milani Holger Moch Riccardo Murri C. Ng S. Nicolet M. Nowak Mónica Núñez López Patrick G. A. Pedrioli L. Pelkmans Salvatore Piscuoglio Laurie Prélot N. Rimmer M. Ritter Christian Rommel María L. Rosano-Gonzalez Gunnar Rätsch N. Santacroce Jacobo Sarabia del Castillo R. Schlenker Petra C. Schwalie Severin Schwan T. Schär Gabriela Senti Wenguang Shao F. Singer B. Sobottka Vipin T. Sreedharan Stefan Stark D. Stekhoven Tanmay Tanna A. Theocharides Tinu M. Thomas Vinko Tosevski Nora C. Toussaint M. Tuncel Marina Tusup A. van Drogen M. Vetter T. Vlajnic Sandra Weber Walter P. Weber Michael Weller Fabian Wendt Norbert Wey M. Wildschut Bernd Wollscheid Shuqing Yu Johanna Ziegler M. Zimmermann M. Zoche G. Zuend Rudolf Aebersold M. Bacac N. Beerenwinkel C. Beisel V. Koelzer K. Lehmann Mitchell P. Levesque H. Moch S. Muenst L. Pelkmans M. Manz Gunnar Rätsch F. Singer B. Snijder A. Theocharides Markus Tolnay A. Wicki Bernd Wollscheid V. Heinzelmann-Schwarz
Jul 2026 · Nature Communications · Vol 17 · 0 citations · 127 references
Medicine

Abstract

In women with high-grade serous ovarian cancer, chemotherapy remains the primary standard treatment, despite growing recognition of the disease as highly heterogeneous. Here, we examine the feasibility and clinical utility of comprehensive multimodal molecular profiling to inform treatment decisions. We analyze blood, single-cell and bulk tumor tissue, and malignant ascites using up to eleven technologies (DNA, RNA, protein, and functional assays) within a four-week turnaround time. Hypothetical treatment recommendations are altered for 76% of patients, and multi-omics-guided maintenance therapy is associated with prolonged overall survival in a subset of patients. Subsequent cohort analysis reveals distinct cellular and molecular profiles in ascites-derived single-cells compared to solid tumor tissue, unique per-patient ex vivo drug responses, and a marked increase in cancer cell heterogeneity following chemotherapy exposure. This coincides with genomic signature alterations in whole-genome-amplified patients. Our data suggest that molecularly guided treatments should be tested as adjuvant therapies prior to chemotherapy in the future. High-grade serous ovarian cancer is clinically challenging due to marked molecular heterogeneity and variable treatment response. Here, the authors demonstrate that integrated multimodal tumor profiling can inform personalized maintenance treatment decisions and that chemotherapy reshapes tumor cell diversity.

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