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Optimized low‐dose combinatorial drug treatment boosts selectivity and efficacy of colorectal carcinoma treatment

Authors :
Marloes Zoetemelk
George M. Ramzy
Magdalena Rausch
Thibaud Koessler
Judy R. vanBeijnum
Andrea Weiss
Valentin Mieville
Sander R. Piersma
Richard R. deHaas
Céline Delucinge‐Vivier
Axel Andres
Christian Toso
Alexander A. Henneman
Simone Ragusa
Tatiana V. Petrova
Mylène Docquier
Thomas A. McKee
Connie R. Jimenez
Youssef Daali
Arjan W. Griffioen
Laura Rubbia‐Brandt
Pierre‐Yves Dietrich
Patrycja Nowak‐Sliwinska
Source :
Molecular Oncology, Vol 14, Iss 11, Pp 2894-2919 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

The current standard of care for colorectal cancer (CRC) is a combination of chemotherapeutics, often supplemented with targeted biological drugs. An urgent need exists for improved drug efficacy and minimized side effects, especially at late‐stage disease. We employed the phenotypically driven therapeutically guided multidrug optimization (TGMO) technology to identify optimized drug combinations (ODCs) in CRC. We identified low‐dose synergistic and selective ODCs for a panel of six human CRC cell lines also active in heterotypic 3D co‐culture models. Transcriptome sequencing and phosphoproteome analyses showed that the mechanisms of action of these ODCs converged toward MAP kinase signaling and cell cycle inhibition. Two cell‐specific ODCs were translated to in vivo mouse models. The ODCs reduced tumor growth by ~80%, outperforming standard chemotherapy (FOLFOX). No toxicity was observed for the ODCs, while significant side effects were induced in the group treated with FOLFOX therapy. Identified ODCs demonstrated significantly enhanced bioavailability of the individual components. Finally, ODCs were also active in primary cells from CRC patient tumor tissues. Taken together, we show that the TGMO technology efficiently identifies selective and potent low‐dose drug combinations, optimized regardless of tumor mutation status, outperforming conventional chemotherapy.

Details

Language :
English
ISSN :
18780261 and 15747891
Volume :
14
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Molecular Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.95a558b6cae1422989a521f96cb74001
Document Type :
article
Full Text :
https://doi.org/10.1002/1878-0261.12797