Author

Arvin C. Dar

Memorial Sloan Kettering Cancer CenterORCID 0000-0003-0318-4848Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Assay:organoid / primary culture· 1 Assay:proteomics· 1

Frequent Co-Authors

Aaliyah Washington· 1 shared Ahmed Mahmoud· 1 shared Alberto VidesiD· 1 shared Alex P. Scopton· 1 shared Alexander I. SpiraiD· 1 shared Andrea CercekiD· 1 shared Antonio Cuevas-NavarroiD· 1 shared Aparna HegdeiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperCancer Biology

Aaliyah Washington

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 24, 2025

Mechanisms of resistance to active state selective tri-complex RAS inhibitors

Ben Sang, Ling Feng Ye, Feng Hu…·Piro Lito

This study identifies mechanisms of resistance to tri-complex RAS inhibitors in patients with RAS-driven cancers, showing that resistance alterations disrupt the RAS:drug:CYPA tri-complex formation.

12 citations

humanDNA methylation

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Cancer BiologybioRxivPreprintFeb 17, 2025

Paired primary-metastasis patient-derived organoids and mouse models identify phenotypic evolution and druggable dependencies of peritoneal metastasis from appendiceal cancer

Ahmed Mahmoud, Philip H. Choi, Christine Sukhwa…·Karuna Ganesh

The paper develops patient-derived organoids and mouse models of appendiceal cancer to identify phenotypic changes and drug targets in peritoneal metastasis.

DOI 10.1101/2025.02.17.638725

humanorganoid / primary culture

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Systems BiologyPLoS Computational BiologyPeer-reviewedApr 26, 2019

Integrated computational and Drosophila cancer model platform captures previously unappreciated chemicals perturbing a kinase network

Peter M.U. Ung, Masahiro Sonoshita, Alex P. Scopton…·Avner Schlessinger

The paper develops a platform combining Drosophila models and computational methods to identify novel chemicals targeting a kinase network in Medullary Thyroid Cancer.

14 citations

Drosophilastatistical model

𝕏 PostBluesky