Delivering precision oncology in metastatic breast cancer: Clinical impact of comprehensive genomic profiling—The CATCH experience
Year: 2025
Type: article
Abstract: CATCH is a prospective precision oncology registry trial that exploits whole-genome/exome- and RNA-sequencing to enable actionable biomarker detection in metastatic breast cancer (mBC) patients of any subtype. We herein report long-term follow-up of the first 558 patients consecutively recruited into CATCH in a monocentric setting between June 2017 and October 2021. Main outcome measures were the rate of implementation of molecular tumor board (MTB) recommended treatments and treatment response as assessed by disease control rate, objective response rate and PFS ratio. Out of the recruited patients, 412 (54.9% HR+/HER2-, 31.3% TNBC, 6.8% HR-/HER2+ and 7.0% HR+/HER2+) were reviewed in the MTB. An appropriate molecularly guided anti-cancer treatment as recommended by MTB was implemented in 183 (44.4%) patients. Gene expression and computationally derived composite biomarkers further expanded treatment options in up to every second patient as compared to genomic sequencing data alone. The outcome was assessed in 152 patients and showed a Disease Control Rate (DCR) of 58.6% and an Objective Response Rate (ORR) of 27.0%. One in three patients (32.8%) showed at least a 50% longer PFS with molecularly guided therapy compared to the previous standard therapy. Notably, 86.4% of the MTB-driven implementations were off-label. CATCH highlights the impact of whole-genome/exome in combination with RNA sequencing to detect clinically relevant biomarkers in mBC. Omics-guided targeted therapy in a real-world setting allows high treatment implementation rates yielding outcome benefit for one-third of the patients.
Source: International Journal of Cancer
DOI: 10.1002/ijc.70208
Authors: Mario Hlevnjak, Sabine Heublein, Verena Thewes, Lukas Wagener, Constantin Pixberg, Carlo Fremd, Laura Michel, Christian Maurer, Lars Buschhorn, Nicola Dikow, Fangyoumin Feng, Stefan Fröhling, Christel Herold‐Mende, Steffen Hirsch, Chen Hong, Daniel Hübschmann, Lena Jassowicz, Polina Kozyulina, Katrin Pfütze, Richard F. Schlenk, Hans‐Peter Sinn, Katharina Smetanay, Christoph Springfeld, Albrecht Stenzinger, Celina Wagner, Stephan Wolf, Andreas Trumpp, Dirk Jäger, Oliver Zivanovic, Marc Zapatka, Andreas Schneeweiss, Peter Lichter
Institutions: German Cancer Research Center, Heidelberg University, University Hospital Heidelberg, National Center for Tumor Diseases, University Hospital Ulm, University of Cologne, University Hospital Cologne, Deutsches Konsortium für Translationale Krebsforschung, Hopp Children's Cancer Center Heidelberg, LMU Klinikum, Ludwig-Maximilians-Universität München, DKFZ-ZMBH Alliance, Heidelberg Institute for Stem Cell Technology and Experimental Medicine
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $5,030
Awards: G1245811846, G4170182740, G7763733654
OpenAlex ID: W4415735890