TY - JOUR
T1 - Multi-modal molecular programs regulate melanoma cell state
AU - Andrews, Miles C.
AU - Oba, Junna
AU - Wu, Chang Jiun
AU - Zhu, Haifeng
AU - Karpinets, Tatiana
AU - Creasy, Caitlin A.
AU - Forget, Marie Andrée
AU - Yu, Xiaoxing
AU - Song, Xingzhi
AU - Mao, Xizeng
AU - Robertson, A. Gordon
AU - Romano, Gabriele
AU - Li, Peng
AU - Burton, Elizabeth M.
AU - Lu, Yiling
AU - Sloane, Robert Szczepaniak
AU - Wani, Khalida M.
AU - Rai, Kunal
AU - Lazar, Alexander J.
AU - Haydu, Lauren E.
AU - Bustos, Matias A.
AU - Shen, Jianjun
AU - Chen, Yueping
AU - Morgan, Margaret B.
AU - Wargo, Jennifer A.
AU - Kwong, Lawrence N.
AU - Haymaker, Cara L.
AU - Grimm, Elizabeth A.
AU - Hwu, Patrick
AU - Hoon, Dave S.B.
AU - Zhang, Jianhua
AU - Gershenwald, Jeffrey E.
AU - Davies, Michael A.
AU - Futreal, P. Andrew
AU - Bernatchez, Chantale
AU - Woodman, Scott E.
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85133685373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133685373&partnerID=8YFLogxK
U2 - 10.1038/s41467-022-31510-1
DO - 10.1038/s41467-022-31510-1
M3 - Article
C2 - 35810190
AN - SCOPUS:85133685373
SN - 2041-1723
VL - 13
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 4000
ER -