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dc.contributor.authorHodis, Eran
dc.contributor.authorTriglia, Elena Torlai
dc.contributor.authorKwon, John YH
dc.contributor.authorBiancalani, Tommaso
dc.contributor.authorZakka, Labib R
dc.contributor.authorParkar, Saurabh
dc.contributor.authorHütter, Jan-Christian
dc.contributor.authorBuffoni, Lorenzo
dc.contributor.authorDelorey, Toni M
dc.contributor.authorPhillips, Devan
dc.contributor.authorDionne, Danielle
dc.contributor.authorNguyen, Lan T
dc.contributor.authorSchapiro, Denis
dc.contributor.authorMaliga, Zoltan
dc.contributor.authorJacobson, Connor A
dc.contributor.authorHendel, Ayal
dc.contributor.authorRozenblatt-Rosen, Orit
dc.contributor.authorMihm, Martin C
dc.contributor.authorGarraway, Levi A
dc.contributor.authorRegev, Aviv
dc.date.accessioned2023-01-11T18:29:56Z
dc.date.available2023-01-11T18:29:56Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147070
dc.description.abstract<jats:p>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.</jats:p>en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionof10.1126/SCIENCE.ABI8175en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleStepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironmenten_US
dc.typeArticleen_US
dc.identifier.citationHodis, Eran, Triglia, Elena Torlai, Kwon, John YH, Biancalani, Tommaso, Zakka, Labib R et al. 2022. "Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment." Science, 376 (6592).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.relation.journalScienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-11T18:06:11Z
dspace.orderedauthorsHodis, E; Triglia, ET; Kwon, JYH; Biancalani, T; Zakka, LR; Parkar, S; Hütter, J-C; Buffoni, L; Delorey, TM; Phillips, D; Dionne, D; Nguyen, LT; Schapiro, D; Maliga, Z; Jacobson, CA; Hendel, A; Rozenblatt-Rosen, O; Mihm, MC; Garraway, LA; Regev, Aen_US
dspace.date.submission2023-01-11T18:06:14Z
mit.journal.volume376en_US
mit.journal.issue6592en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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