Evidence map›Paper›PMID 33021054›Full record

ArticleMolecular oncology2020

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

Marloes Zoetemelk, George M Ramzy, Magdalena Rausch, Thibaud Koessler, Judy R van Beijnum, Andrea Weiss, Valentin Mieville, Sander R Piersma, Richard R de Haas, Céline Delucinge-Vivier and 13 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Phase II Trial of Vemurafenib and Sorafenib Combination in AdvancedJournal of immunotherapy and precision oncology · 2026
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  8. Titin as a potential novel therapeutic target in colorectal cancer.Journal of cellular and molecular medicine · 2023
    Article
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  15. Forcing dividing cancer cells to die; low-dose drug combinations to prevent spindle pole clustering.Apoptosis : an international journal on programmed cell death · 2021
    Review
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 4 institutions in 3 countries.

Marloes ZoetemelkMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.
George M RamzyMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.
Magdalena RauschMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.
Thibaud KoesslerDepartment of Oncology, Geneva University Hospitals and Faculty of Medicine, Switzerland.
Judy R van BeijnumAngiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC-location VUmc, VU University Amsterdam, The Netherlands.
Andrea WeissMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.
Valentin MievilleMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.
Sander R PiersmaDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.
Richard R de HaasDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.
Céline Delucinge-VivieriGE3 Genomics Platform, University of Geneva, Switzerland.
Axel AndresTranslational Department of Digestive and Transplant Surgery, Geneva University Hospitals and Faculty of Medicine, Switzerland.
Christian TosoTranslational Department of Digestive and Transplant Surgery, Geneva University Hospitals and Faculty of Medicine, Switzerland.
Alexander A HennemanDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.
Simone RagusaDepartment of Oncology, University of Lausanne, Switzerland.
Tatiana V PetrovaDepartment of Oncology, University of Lausanne, Switzerland.
Mylène DocquieriGE3 Genomics Platform, University of Geneva, Switzerland.
Thomas A McKeeDivision of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), Switzerland.
Connie R JimenezDepartment of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.
Youssef DaaliDivision of Clinical Pharmacology and Toxicology, Department of Anaesthesiology, Intensive Care and Emergency Medicine, Geneva University Hospitals, Pharmacology, Switzerland.
Arjan W GriffioenAngiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC-location VUmc, VU University Amsterdam, The Netherlands.
Laura Rubbia-BrandtDivision of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), Switzerland.
Pierre-Yves DietrichTranslational Research Center in Oncohaematology, Geneva, Switzerland.
Patrycja Nowak-SliwinskaMolecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland.ORCID 0000-0002-8299-0444
University of Geneva · CHUniversity Hospital of Geneva · CHAmsterdam University Medical Centers · NLLudwig Cancer Research · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsCell CycleCell Line, TumorColorectal NeoplasmsDose-Response Relationship, DrugFemaleHCT116 CellsHumansMaleMiceTranscriptomeTreatment Outcomecolorectal carcinomacombination treatmentdrug-drug interactionsdrug-target interactionsphosphoproteomicssynergy

Identifiers

PMID33021054
PMCPMC7607171
OpenAlexW3091612410

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.