Evidence map›Paper›PMID 42062484›Full record

ArticleCommunications medicine2026

Systematic interrogation of drug sensitivities in melanoma reveals potent synergistic and antagonistic drug combinations with translational potential.

Pilar Ayuda-Durán, Robert Hanes, Leiv Rønneberg, Tine Norman Alver, Geir Frode Øy, Sissel Hauge, Aram N Andersen, Eivind Valen Egeland, Siri Juell, Sigve Nakken and 6 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Pilar Ayuda-Durán *Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-9799-3680
Robert Hanes *Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-6544-2182
Leiv RønnebergDepartment of Mathematics, University of Oslo, Oslo, Norway.
Tine Norman AlverDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Geir Frode ØyDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Sissel HaugeDepartment of Radiation Biology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
Aram N AndersenDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Eivind Valen EgelandDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-7273-7277
Siri JuellDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Sigve NakkenCentre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Theophilus Quachie AsensoOslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Manuela ZucknickOslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-1317-7422
Randi G SyljuåsenDepartment of Radiation Biology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-3404-6069
Gunhild M MælandsmoDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Eivind HovigDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-9103-1077
Jorrit M EnserinkDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. j.m.enserink@ibv.uio.no.ORCID http://orcid.org/0000-0002-2394-5387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted therapies have become mainstream anticancer treatments, although their efficacy is limited by low response rates, drug resistance, and therapy-related toxicities. Drug combinations have the potential to overcome these challenges. However, identifying effective drug combinations is a major challenge.

methodsFocusing on melanoma, we systematically interrogated drug-drug interactions to identify synergistic and antagonistic drug combinations. We screened 23 melanoma and 2 melanocyte cell lines with a library of 61 drugs belonging to 11 different drug classes.

resultsWe have identified multiple antagonistic and synergistic drug interactions. For instance, the CDK inhibitor abemaciclib strongly reduces the antiproliferative effect of nucleosides. Interestingly, this antagonistic interaction can be converted into a potent synergistic interaction by modifying the sequence of treatment; treating cells first with abemaciclib followed by nucleoside treatment results in antagonism, whereas pretreatment with nucleoside analogs followed by abemaciclib results in strong synergy. Furthermore, strong synergy is observed between combinations of Chk1 inhibitors with nucleoside analogs, especially in cell lines with defects in DNA damage response pathways, such as mutations in TP53 or CDKN2A. A combination of low doses of a Chk1 inhibitor and a nucleoside analog also synergizes in a mouse model of melanoma using female mice and significantly reduces tumor growth without noticeable toxic side effects.

conclusionsTaken together, our study underscores the importance of careful design of treatment sequence algorithms and identifies actionable drug-drug interactions for treatment of melanoma with translational potential.

Identifiers

PMID42062484
PMCPMC13338063

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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.