| dc.contributor.author | Kellis, Manolis | |
| dc.date.accessioned | 2022-07-13T16:27:36Z | |
| dc.date.available | 2022-07-13T16:27:36Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143713 | |
| dc.description.abstract | Despite initial responses1-3, most melanoma patients develop resistance4 to immune checkpoint blockade (ICB). To understand the evolution of resistance, we studied 37 tumor samples over 9 years from a patient with metastatic melanoma with complete clinical response to ICB followed by delayed recurrence and death. Phylogenetic analysis revealed co-evolution of seven lineages with multiple convergent, but independent resistance-associated alterations. All recurrent tumors emerged from a lineage characterized by loss of chromosome 15q, with post-treatment clones acquiring additional genomic driver events. Deconvolution of bulk RNA sequencing and highly multiplexed immunofluorescence (t-CyCIF) revealed differences in immune composition among different lineages. Imaging revealed a vasculogenic mimicry phenotype in NGFRhi tumor cells with high PD-L1 expression in close proximity to immune cells. Rapid autopsy demonstrated two distinct NGFR spatial patterns with high polarity and proximity to immune cells in subcutaneous tumors versus a diffuse spatial pattern in lung tumors, suggesting different roles of this neural-crest-like program in different tumor microenvironments. Broadly, this study establishes a high-resolution map of the evolutionary dynamics of resistance to ICB, characterizes a de-differentiated neural-crest tumor population in melanoma immunotherapy resistance and describes site-specific differences in tumor-immune interactions via longitudinal analysis of a patient with melanoma with an unusual clinical course. | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1038/S41591-021-01331-8 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | PMC | en_US |
| dc.title | Evolution of delayed resistance to immunotherapy in a melanoma responder | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Kellis, Manolis. 2021. "Evolution of delayed resistance to immunotherapy in a melanoma responder." Nature Medicine, 27 (6). | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.relation.journal | Nature Medicine | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-07-13T16:20:20Z | |
| dspace.orderedauthors | Liu, D; Lin, J-R; Robitschek, EJ; Kasumova, GG; Heyde, A; Shi, A; Kraya, A; Zhang, G; Moll, T; Frederick, DT; Chen, Y-A; Wang, S; Schapiro, D; Ho, L-L; Bi, K; Sahu, A; Mei, S; Miao, B; Sharova, T; Alvarez-Breckenridge, C; Stocking, JH; Kim, T; Fadden, R; Lawrence, D; Hoang, MP; Cahill, DP; Malehmir, M; Nowak, MA; Brastianos, PK; Lian, CG; Ruppin, E; Izar, B; Herlyn, M; Van Allen, EM; Nathanson, K; Flaherty, KT; Sullivan, RJ; Kellis, M; Sorger, PK; Boland, GM | en_US |
| dspace.date.submission | 2022-07-13T16:20:21Z | |
| mit.journal.volume | 27 | en_US |
| mit.journal.issue | 6 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |