Journal article
Multi-modal molecular programs regulate melanoma cell state
Nature communications, v 13(1), pp 4000-4000
09 Jul 2022
PMID: 35810190
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Melanoma cells display distinct intrinsic phenotypic states. Here, we seek to characterize the molecular regulation of these states using multi-omic analyses of whole exome, transcriptome, microRNA, long non-coding RNA and DNA methylation data together with reverse-phase protein array data on a panel of 68 highly annotated early passage melanoma cell lines. We demonstrate that clearly defined cancer cell intrinsic transcriptomic programs are maintained in melanoma cells ex vivo and remain highly conserved within melanoma tumors, are associated with distinct immune features within tumors, and differentially correlate with checkpoint inhibitor and adoptive T cell therapy efficacy. Through integrative analyses we demonstrate highly complex multi-omic regulation of melanoma cell intrinsic programs that provide key insights into the molecular maintenance of phenotypic states. These findings have implications for cancer biology and the identification of new therapeutic strategies. Further, these deeply characterized cell lines will serve as an invaluable resource for future research in the field.
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Details
- Title
- Multi-modal molecular programs regulate melanoma cell state
- Creators
- Miles C Andrews - Monash UniversityJunna Oba - The University of Texas MD Anderson Cancer CenterChang-Jiun Wu - The University of Texas MD Anderson Cancer CenterHaifeng Zhu - The University of Texas MD Anderson Cancer CenterTatiana Karpinets - The University of Texas MD Anderson Cancer CenterCaitlin A Creasy - The University of Texas MD Anderson Cancer CenterMarie-Andrée Forget - The University of Texas MD Anderson Cancer CenterXiaoxing Yu - Keio UniversityXingzhi Song - The University of Texas MD Anderson Cancer CenterXizeng Mao - The University of Texas MD Anderson Cancer CenterA Gordon Robertson - Canada's Michael Smith Genome Sciences CentreGabriele Romano - Drexel University, Pharmacology and PhysiologyPeng Li - Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USAElizabeth M Burton - The University of Texas MD Anderson Cancer CenterYiling Lu - The University of Texas MD Anderson Cancer CenterRobert Szczepaniak Sloane - The University of Texas MD Anderson Cancer CenterKhalida M Wani - The University of Texas MD Anderson Cancer CenterKunal Rai - The University of Texas MD Anderson Cancer CenterAlexander J Lazar - The University of Texas MD Anderson Cancer CenterLauren E Haydu - The University of Texas MD Anderson Cancer CenterMatias A Bustos - Saint John's Health CenterJianjun Shen - The University of Texas MD Anderson Cancer CenterYueping Chen - The University of Texas MD Anderson Cancer CenterMargaret B Morgan - The University of Texas MD Anderson Cancer CenterJennifer A Wargo - The University of Texas MD Anderson Cancer CenterLawrence N Kwong - The University of Texas MD Anderson Cancer CenterCara L Haymaker - The University of Texas MD Anderson Cancer CenterElizabeth A Grimm - The University of Texas MD Anderson Cancer CenterPatrick Hwu - H Lee Moffitt Cancer Center, Tampa, FL, USADave S B Hoon - GenomicJianhua Zhang - The University of Texas MD Anderson Cancer CenterJeffrey E Gershenwald - The University of Texas MD Anderson Cancer CenterMichael A Davies - College Station Medical CenterP Andrew Futreal - The University of Texas MD Anderson Cancer CenterChantale Bernatchez - The University of Texas MD Anderson Cancer CenterScott E Woodman - The University of Texas MD Anderson Cancer Center
- Publication Details
- Nature communications, v 13(1), pp 4000-4000
- Publisher
- Springer Nature
- Grant note
- P50 CA221703 / NCI NIH HHS P30 CA016672 / NCI NIH HHS P50 CA093459 / NCI NIH HHS R50 CA221675 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pharmacology and Physiology
- Web of Science ID
- WOS:000822541400011
- Scopus ID
- 2-s2.0-85133685373
- Other Identifier
- 991021965770804721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Oncology