Literature DB >> 33323400

The Genetic Evolution of Treatment-Resistant Cutaneous, Acral, and Uveal Melanomas.

Alvin P Makohon-Moore1,2,3, Evan J Lipson4,5, Jody E Hooper5,6, Amanda Zucker1,2,3, Jungeui Hong1,2,3, Craig M Bielski1,7, Akimasa Hayashi1,2,3,8, Collin Tokheim9,10, Priscilla Baez2,3, Rajya Kappagantula2,3, Zachary Kohutek11, Vladimir Makarov1,12, Nadeem Riaz1,12, Michael A Postow13,14, Paul B Chapman13, Rachel Karchin5,15, Nicholas D Socci7, David B Solit1,7, Timothy A Chan16, Barry S Taylor1,7,17, Suzanne L Topalian18,19, Christine A Iacobuzio-Donahue20,2,3.   

Abstract

PURPOSE: Melanoma is a biologically heterogeneous disease composed of distinct clinicopathologic subtypes that frequently resist treatment. To explore the evolution of treatment resistance and metastasis, we used a combination of temporal and multilesional tumor sampling in conjunction with whole-exome sequencing of 110 tumors collected from 7 patients with cutaneous (n = 3), uveal (n = 2), and acral (n = 2) melanoma subtypes. EXPERIMENTAL
DESIGN: Primary tumors, metastases collected longitudinally, and autopsy tissues were interrogated. All but 1 patient died because of melanoma progression.
RESULTS: For each patient, we generated phylogenies and quantified the extent of genetic diversity among tumors, specifically among putative somatic alterations affecting therapeutic resistance.
CONCLUSIONS: In 4 patients who received immunotherapy, we found 1-3 putative acquired and intrinsic resistance mechanisms coexisting in the same patient, including mechanisms that were shared by all tumors within each patient, suggesting that future therapies directed at overcoming intrinsic resistance mechanisms may be broadly effective. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33323400      PMCID: PMC7925434          DOI: 10.1158/1078-0432.CCR-20-2984

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  48 in total

1.  FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing.

Authors:  Ronglai Shen; Venkatraman E Seshan
Journal:  Nucleic Acids Res       Date:  2016-06-07       Impact factor: 16.971

2.  Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation.

Authors:  Ramin Nazarian; Hubing Shi; Qi Wang; Xiangju Kong; Richard C Koya; Hane Lee; Zugen Chen; Mi-Kyung Lee; Narsis Attar; Hooman Sazegar; Thinle Chodon; Stanley F Nelson; Grant McArthur; Jeffrey A Sosman; Antoni Ribas; Roger S Lo
Journal:  Nature       Date:  2010-11-24       Impact factor: 49.962

3.  A genome-scale RNA interference screen implicates NF1 loss in resistance to RAF inhibition.

Authors:  Steven R Whittaker; Jean-Philippe Theurillat; Eliezer Van Allen; Nikhil Wagle; Jessica Hsiao; Glenn S Cowley; Dirk Schadendorf; David E Root; Levi A Garraway
Journal:  Cancer Discov       Date:  2013-01-03       Impact factor: 39.397

Review 4.  From melanocytes to melanomas.

Authors:  A Hunter Shain; Boris C Bastian
Journal:  Nat Rev Cancer       Date:  2016-04-29       Impact factor: 60.716

5.  Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer.

Authors:  Jayendra Shinde; Quentin Bayard; Sandrine Imbeaud; Théo Z Hirsch; Feng Liu; Victor Renault; Jessica Zucman-Rossi; Eric Letouzé
Journal:  Bioinformatics       Date:  2018-10-01       Impact factor: 6.937

6.  Distinct genetic profiles of extracranial and intracranial acral melanoma metastases.

Authors:  Gaurav Sharma; Christine G Lian; William M Lin; Ali Amin-Mansour; Judit Jané-Valbuena; Levi Garraway; Wendi Bao; Charles H Yoon; Nageatte Ibrahim
Journal:  J Cutan Pathol       Date:  2016-06-29       Impact factor: 1.587

7.  The genetic evolution of metastatic uveal melanoma.

Authors:  A Hunter Shain; Mette M Bagger; Richard Yu; Darwin Chang; Shanshan Liu; Swapna Vemula; Jingly F Weier; Karin Wadt; Steffen Heegaard; Boris C Bastian; Jens F Kiilgaard
Journal:  Nat Genet       Date:  2019-06-28       Impact factor: 38.330

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  Identifying Mendelian disease genes with the variant effect scoring tool.

Authors:  Hannah Carter; Christopher Douville; Peter D Stenson; David N Cooper; Rachel Karchin
Journal:  BMC Genomics       Date:  2013-05-28       Impact factor: 3.969

10.  Resistance to checkpoint blockade therapy through inactivation of antigen presentation.

Authors:  Moshe Sade-Feldman; Yunxin J Jiao; Jonathan H Chen; Michael S Rooney; Michal Barzily-Rokni; Jean-Pierre Eliane; Stacey L Bjorgaard; Marc R Hammond; Hans Vitzthum; Shauna M Blackmon; Dennie T Frederick; Mehlika Hazar-Rethinam; Brandon A Nadres; Emily E Van Seventer; Sachet A Shukla; Keren Yizhak; John P Ray; Daniel Rosebrock; Dimitri Livitz; Viktor Adalsteinsson; Gad Getz; Lyn M Duncan; Bo Li; Ryan B Corcoran; Donald P Lawrence; Anat Stemmer-Rachamimov; Genevieve M Boland; Dan A Landau; Keith T Flaherty; Ryan J Sullivan; Nir Hacohen
Journal:  Nat Commun       Date:  2017-10-26       Impact factor: 14.919

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  2 in total

1.  Organ Specific Copy Number Variations in Visceral Metastases of Human Melanoma.

Authors:  Orsolya Papp; Viktória Doma; Jeovanis Gil; György Markó-Varga; Sarolta Kárpáti; József Tímár; Laura Vízkeleti
Journal:  Cancers (Basel)       Date:  2021-11-28       Impact factor: 6.639

Review 2.  Acquired Resistance to Immune Checkpoint Blockades: The Underlying Mechanisms and Potential Strategies.

Authors:  Binghan Zhou; Yuan Gao; Peng Zhang; Qian Chu
Journal:  Front Immunol       Date:  2021-06-14       Impact factor: 7.561

  2 in total

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