Literature DB >> 28031159

Evolution of Neoantigen Landscape during Immune Checkpoint Blockade in Non-Small Cell Lung Cancer.

Valsamo Anagnostou1,2, Kellie N Smith1,2, Patrick M Forde1,2, Noushin Niknafs3, Rohit Bhattacharya3, James White1, Theresa Zhang4, Vilmos Adleff1, Jillian Phallen1, Neha Wali1, Carolyn Hruban1, Violeta B Guthrie3, Kristen Rodgers5, Jarushka Naidoo1,2, Hyunseok Kang1, William Sharfman1, Christos Georgiades6, Franco Verde7, Peter Illei1,8, Qing Kay Li8, Edward Gabrielson1,8, Malcolm V Brock1,5, Cynthia A Zahnow1, Stephen B Baylin1, Robert B Scharpf1, Julie R Brahmer1,2, Rachel Karchin3, Drew M Pardoll1,2, Victor E Velculescu9,2,3,8.   

Abstract

Immune checkpoint inhibitors have shown significant therapeutic responses against tumors containing increased mutation-associated neoantigen load. We have examined the evolving landscape of tumor neoantigens during the emergence of acquired resistance in patients with non-small cell lung cancer after initial response to immune checkpoint blockade with anti-PD-1 or anti-PD-1/anti-CTLA-4 antibodies. Analyses of matched pretreatment and resistant tumors identified genomic changes resulting in loss of 7 to 18 putative mutation-associated neoantigens in resistant clones. Peptides generated from the eliminated neoantigens elicited clonal T-cell expansion in autologous T-cell cultures, suggesting that they generated functional immune responses. Neoantigen loss occurred through elimination of tumor subclones or through deletion of chromosomal regions containing truncal alterations, and was associated with changes in T-cell receptor clonality. These analyses provide insight into the dynamics of mutational landscapes during immune checkpoint blockade and have implications for the development of immune therapies that target tumor neoantigens.Significance: Acquired resistance to immune checkpoint therapy is being recognized more commonly. This work demonstrates for the first time that acquired resistance to immune checkpoint blockade can arise in association with the evolving landscape of mutations, some of which encode tumor neoantigens recognizable by T cells. These observations imply that widening the breadth of neoantigen reactivity may mitigate the development of acquired resistance. Cancer Discov; 7(3); 264-76. ©2017 AACR.See related commentary by Yang, p. 250This article is highlighted in the In This Issue feature, p. 235. ©2017 American Association for Cancer Research.

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Year:  2016        PMID: 28031159      PMCID: PMC5733805          DOI: 10.1158/2159-8290.CD-16-0828

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  49 in total

1.  Overall Survival and Long-Term Safety of Nivolumab (Anti-Programmed Death 1 Antibody, BMS-936558, ONO-4538) in Patients With Previously Treated Advanced Non-Small-Cell Lung Cancer.

Authors:  Scott N Gettinger; Leora Horn; Leena Gandhi; David R Spigel; Scott J Antonia; Naiyer A Rizvi; John D Powderly; Rebecca S Heist; Richard D Carvajal; David M Jackman; Lecia V Sequist; David C Smith; Philip Leming; David P Carbone; Mary C Pinder-Schenck; Suzanne L Topalian; F Stephen Hodi; Jeffrey A Sosman; Mario Sznol; David F McDermott; Drew M Pardoll; Vindira Sankar; Christoph M Ahlers; Mark Salvati; Jon M Wigginton; Matthew D Hellmann; Georgia D Kollia; Ashok K Gupta; Julie R Brahmer
Journal:  J Clin Oncol       Date:  2015-04-20       Impact factor: 44.544

2.  The patterns and dynamics of genomic instability in metastatic pancreatic cancer.

Authors:  Peter J Campbell; Shinichi Yachida; Laura J Mudie; Philip J Stephens; Erin D Pleasance; Lucy A Stebbings; Laura A Morsberger; Calli Latimer; Stuart McLaren; Meng-Lay Lin; David J McBride; Ignacio Varela; Serena A Nik-Zainal; Catherine Leroy; Mingming Jia; Andrew Menzies; Adam P Butler; Jon W Teague; Constance A Griffin; John Burton; Harold Swerdlow; Michael A Quail; Michael R Stratton; Christine Iacobuzio-Donahue; P Andrew Futreal
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

3.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

4.  NetCTLpan: pan-specific MHC class I pathway epitope predictions.

Authors:  Thomas Stranzl; Mette Voldby Larsen; Claus Lundegaard; Morten Nielsen
Journal:  Immunogenetics       Date:  2010-04-09       Impact factor: 2.846

Review 5.  Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy.

Authors:  Suzanne L Topalian; Janis M Taube; Robert A Anders; Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2016-04-15       Impact factor: 60.716

6.  OptiType: precision HLA typing from next-generation sequencing data.

Authors:  András Szolek; Benjamin Schubert; Christopher Mohr; Marc Sturm; Magdalena Feldhahn; Oliver Kohlbacher
Journal:  Bioinformatics       Date:  2014-08-20       Impact factor: 6.937

7.  SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing.

Authors:  Noushin Niknafs; Violeta Beleva-Guthrie; Daniel Q Naiman; Rachel Karchin
Journal:  PLoS Comput Biol       Date:  2015-10-05       Impact factor: 4.475

8.  Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data.

Authors:  F Favero; T Joshi; A M Marquard; N J Birkbak; M Krzystanek; Q Li; Z Szallasi; A C Eklund
Journal:  Ann Oncol       Date:  2014-10-15       Impact factor: 32.976

9.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

10.  NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11.

Authors:  Claus Lundegaard; Kasper Lamberth; Mikkel Harndahl; Søren Buus; Ole Lund; Morten Nielsen
Journal:  Nucleic Acids Res       Date:  2008-05-07       Impact factor: 16.971

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  308 in total

Review 1.  Genetic and non-genetic clonal diversity in cancer evolution.

Authors:  James R M Black; Nicholas McGranahan
Journal:  Nat Rev Cancer       Date:  2021-03-16       Impact factor: 60.716

Review 2.  DNA Damage and Repair Biomarkers of Immunotherapy Response.

Authors:  Kent W Mouw; Michael S Goldberg; Panagiotis A Konstantinopoulos; Alan D D'Andrea
Journal:  Cancer Discov       Date:  2017-06-19       Impact factor: 39.397

Review 3.  Measuring tumor mutation burden in non-small cell lung cancer: tissue versus liquid biopsy.

Authors:  Francesca Fenizia; Raffaella Pasquale; Cristin Roma; Francesca Bergantino; Alessia Iannaccone; Nicola Normanno
Journal:  Transl Lung Cancer Res       Date:  2018-12

4.  TCR sequencing analysis of cancer tissues and tumor draining lymph nodes in colorectal cancer patients.

Authors:  Tatsuo Matsuda; Eisaku Miyauchi; Yu-Wen Hsu; Satoshi Nagayama; Kazuma Kiyotani; Makda Zewde; Jae-Hyun Park; Taigo Kato; Makiko Harada; Shimpei Matsui; Masashi Ueno; Kazumasa Fukuda; Nobuaki Suzuki; Shoichi Hazama; Hiroaki Nagano; Hiroya Takeuchi; Wickii T Vigneswaran; Yuko Kitagawa; Yusuke Nakamura
Journal:  Oncoimmunology       Date:  2019-03-22       Impact factor: 8.110

5.  Immuno-oncology Clinical Trial Design: Limitations, Challenges, and Opportunities.

Authors:  Christina S Baik; Eric H Rubin; Patrick M Forde; Janice M Mehnert; Deborah Collyar; Marcus O Butler; Erica L Dixon; Laura Q M Chow
Journal:  Clin Cancer Res       Date:  2017-09-01       Impact factor: 12.531

6.  Immuno-oncology Trial Endpoints: Capturing Clinically Meaningful Activity.

Authors:  Valsamo Anagnostou; Mark Yarchoan; Aaron R Hansen; Hao Wang; Franco Verde; Elad Sharon; Deborah Collyar; Laura Q M Chow; Patrick M Forde
Journal:  Clin Cancer Res       Date:  2017-09-01       Impact factor: 12.531

Review 7.  Update on Tumor Neoantigens and Their Utility: Why It Is Good to Be Different.

Authors:  Chung-Han Lee; Roman Yelensky; Karin Jooss; Timothy A Chan
Journal:  Trends Immunol       Date:  2018-05-08       Impact factor: 16.687

Review 8.  DNA repair defects and implications for immunotherapy.

Authors:  Katherine M Bever; Dung T Le
Journal:  J Clin Invest       Date:  2018-10-01       Impact factor: 14.808

9.  EZH2 inhibition: a promising strategy to prevent cancer immune editing.

Authors:  Ning Kang; Mark Eccleston; Pier-Luc Clermont; Maryam Latarani; David Kingsley Male; Yuzhuo Wang; Francesco Crea
Journal:  Epigenomics       Date:  2020-09-17       Impact factor: 4.778

Review 10.  Epigenetic mechanisms of tumor resistance to immunotherapy.

Authors:  Natalia Arenas-Ramirez; Dilara Sahin; Onur Boyman
Journal:  Cell Mol Life Sci       Date:  2018-08-23       Impact factor: 9.261

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