Stepwise-edited, human melanoma models reveal mutations' effect on tumor and microenvironment

melanoma;黑素瘤;单细胞测序;单细胞多组学
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Eran Hodis #, Elena Torlai Triglia #, John Y H Kwon, Tommaso Biancalani, Labib R Zakka, Saurabh Parkar, Jan-Christian Hütter, Lorenzo Buffoni, Toni M Delorey, Devan Phillips, Danielle Dionne, Lan T Nguyen, Denis Schapiro, Zoltan Maliga, Connor A Jacobson, Ayal Hendel, Orit Rozenblatt-Rosen, Martin C Mihm Jr, Levi A Garraway, Aviv Regev

  • Science
  • 2022
  • 45.8
  • 376(6592):eabi8175.
  • Mouse
  • 单细胞测序
  • 运动系统
  • plasmacytoid dendritic cell
  • 运动系统
  • 51020
  • 树突状细胞
  • 黑色素瘤
  • doi: 10.1126/science.abi8175.

Abstract

Establishing causal relationships between genetic alterations of human cancers and specific phenotypes of malignancy remains a challenge. We sequentially introduced mutations into healthy human melanocytes in up to five genes spanning six commonly disrupted melanoma pathways, forming nine genetically distinct cellular models of melanoma. We connected mutant melanocyte genotypes to malignant cell expression programs in vitro and in vivo, replicative immortality, malignancy, rapid tumor growth, pigmentation, metastasis, and histopathology. Mutations in malignant cells also affected tumor microenvironment composition and cell states. Our melanoma models shared genotype-associated expression programs with patient melanomas, and a deep learning model showed that these models partially recapitulated genotype-associated histopathological features as well. Thus, a progressive series of genome-edited human cancer models can causally connect genotypes carrying multiple mutations to phenotype.
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