Literature DB >> 26997480

Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.

Willy Hugo1, Jesse M Zaretsky2, Lu Sun1, Chunying Song1, Blanca Homet Moreno3, Siwen Hu-Lieskovan3, Beata Berent-Maoz3, Jia Pang3, Bartosz Chmielowski3, Grace Cherry3, Elizabeth Seja3, Shirley Lomeli1, Xiangju Kong1, Mark C Kelley4, Jeffrey A Sosman5, Douglas B Johnson5, Antoni Ribas6, Roger S Lo7.   

Abstract

PD-1 immune checkpoint blockade provides significant clinical benefits for melanoma patients. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies to identify factors that may influence innate sensitivity or resistance to anti-PD-1 therapy. We find that overall high mutational loads associate with improved survival, and tumors from responding patients are enriched for mutations in the DNA repair gene BRCA2. Innately resistant tumors display a transcriptional signature (referred to as the IPRES, or innate anti-PD-1 resistance), indicating concurrent up-expression of genes involved in the regulation of mesenchymal transition, cell adhesion, extracellular matrix remodeling, angiogenesis, and wound healing. Notably, mitogen-activated protein kinase (MAPK)-targeted therapy (MAPK inhibitor) induces similar signatures in melanoma, suggesting that a non-genomic form of MAPK inhibitor resistance mediates cross-resistance to anti-PD-1 therapy. Validation of the IPRES in other independent tumor cohorts defines a transcriptomic subset across distinct types of advanced cancer. These findings suggest that attenuating the biological processes that underlie IPRES may improve anti-PD-1 response in melanoma and other cancer types.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26997480      PMCID: PMC4808437          DOI: 10.1016/j.cell.2016.02.065

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  44 in total

Review 1.  Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential.

Authors:  Padmanee Sharma; James P Allison
Journal:  Cell       Date:  2015-04-09       Impact factor: 41.582

2.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

3.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

Authors:  Naiyer A Rizvi; Matthew D Hellmann; Alexandra Snyder; Pia Kvistborg; Vladimir Makarov; Jonathan J Havel; William Lee; Jianda Yuan; Phillip Wong; Teresa S Ho; Martin L Miller; Natasha Rekhtman; Andre L Moreira; Fawzia Ibrahim; Cameron Bruggeman; Billel Gasmi; Roberta Zappasodi; Yuka Maeda; Chris Sander; Edward B Garon; Taha Merghoub; Jedd D Wolchok; Ton N Schumacher; Timothy A Chan
Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

Review 4.  Control of the immune response by pro-angiogenic factors.

Authors:  Thibault Voron; Elie Marcheteau; Simon Pernot; Orianne Colussi; Eric Tartour; Julien Taieb; Magali Terme
Journal:  Front Oncol       Date:  2014-04-02       Impact factor: 6.244

5.  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

6.  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

7.  Comparison of molecular signatures from multiple skin diseases identifies mechanisms of immunopathogenesis.

Authors:  Megan S Inkeles; Philip O Scumpia; William R Swindell; David Lopez; Rosane M B Teles; Thomas G Graeber; Stephan Meller; Bernhard Homey; James T Elder; Michel Gilliet; Robert L Modlin; Matteo Pellegrini
Journal:  J Invest Dermatol       Date:  2014-08-11       Impact factor: 8.551

8.  GSVA: gene set variation analysis for microarray and RNA-seq data.

Authors:  Sonja Hänzelmann; Robert Castelo; Justin Guinney
Journal:  BMC Bioinformatics       Date:  2013-01-16       Impact factor: 3.169

9.  NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence.

Authors:  Morten Nielsen; Claus Lundegaard; Thomas Blicher; Kasper Lamberth; Mikkel Harndahl; Sune Justesen; Gustav Røder; Bjoern Peters; Alessandro Sette; Ole Lund; Søren Buus
Journal:  PLoS One       Date:  2007-08-29       Impact factor: 3.240

10.  The InterPro protein families database: the classification resource after 15 years.

Authors:  Alex Mitchell; Hsin-Yu Chang; Louise Daugherty; Matthew Fraser; Sarah Hunter; Rodrigo Lopez; Craig McAnulla; Conor McMenamin; Gift Nuka; Sebastien Pesseat; Amaia Sangrador-Vegas; Maxim Scheremetjew; Claudia Rato; Siew-Yit Yong; Alex Bateman; Marco Punta; Teresa K Attwood; Christian J A Sigrist; Nicole Redaschi; Catherine Rivoire; Ioannis Xenarios; Daniel Kahn; Dominique Guyot; Peer Bork; Ivica Letunic; Julian Gough; Matt Oates; Daniel Haft; Hongzhan Huang; Darren A Natale; Cathy H Wu; Christine Orengo; Ian Sillitoe; Huaiyu Mi; Paul D Thomas; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 16.971

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  1070 in total

Review 1.  Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways.

Authors:  Xue Bai; David E Fisher; Keith T Flaherty
Journal:  Nat Rev Clin Oncol       Date:  2019-09       Impact factor: 66.675

2.  Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy.

Authors:  Diego Chowell; Luc G T Morris; Claud M Grigg; Jeffrey K Weber; Robert M Samstein; Vladimir Makarov; Fengshen Kuo; Sviatoslav M Kendall; David Requena; Nadeem Riaz; Benjamin Greenbaum; James Carroll; Edward Garon; David M Hyman; Ahmet Zehir; David Solit; Michael Berger; Ruhong Zhou; Naiyer A Rizvi; Timothy A Chan
Journal:  Science       Date:  2017-12-07       Impact factor: 47.728

3.  Recurrent Tumor Cell-Intrinsic and -Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation.

Authors:  Chunying Song; Marco Piva; Lu Sun; Aayoung Hong; Gatien Moriceau; Xiangju Kong; Hong Zhang; Shirley Lomeli; Jin Qian; Clarissa C Yu; Robert Damoiseaux; Mark C Kelley; Kimberley B Dahlman; Philip O Scumpia; Jeffrey A Sosman; Douglas B Johnson; Antoni Ribas; Willy Hugo; Roger S Lo
Journal:  Cancer Discov       Date:  2017-09-01       Impact factor: 39.397

4.  From Famine to Feast: Developing Early-Phase Combination Immunotherapy Trials Wisely.

Authors:  Daphne Day; Arta M Monjazeb; Elad Sharon; S Percy Ivy; Eric H Rubin; Gary L Rosner; Marcus O Butler
Journal:  Clin Cancer Res       Date:  2017-09-01       Impact factor: 12.531

5.  Enabling a genetically informed approach to cancer medicine: evaluation of the impact of comprehensive tumor sequencing.

Authors:  Elizabeth J Davis; Douglas B Johnson
Journal:  Per Med       Date:  2017-05-05       Impact factor: 2.512

6.  Tumor mutational load predicts survival after immunotherapy across multiple cancer types.

Authors:  Robert M Samstein; Chung-Han Lee; Alexander N Shoushtari; Matthew D Hellmann; Ronglai Shen; Yelena Y Janjigian; David A Barron; Ahmet Zehir; Emmet J Jordan; Antonio Omuro; Thomas J Kaley; Sviatoslav M Kendall; Robert J Motzer; A Ari Hakimi; Martin H Voss; Paul Russo; Jonathan Rosenberg; Gopa Iyer; Bernard H Bochner; Dean F Bajorin; Hikmat A Al-Ahmadie; Jamie E Chaft; Charles M Rudin; Gregory J Riely; Shrujal Baxi; Alan L Ho; Richard J Wong; David G Pfister; Jedd D Wolchok; Christopher A Barker; Philip H Gutin; Cameron W Brennan; Viviane Tabar; Ingo K Mellinghoff; Lisa M DeAngelis; Charlotte E Ariyan; Nancy Lee; William D Tap; Mrinal M Gounder; Sandra P D'Angelo; Leonard Saltz; Zsofia K Stadler; Howard I Scher; Jose Baselga; Pedram Razavi; Christopher A Klebanoff; Rona Yaeger; Neil H Segal; Geoffrey Y Ku; Ronald P DeMatteo; Marc Ladanyi; Naiyer A Rizvi; Michael F Berger; Nadeem Riaz; David B Solit; Timothy A Chan; Luc G T Morris
Journal:  Nat Genet       Date:  2019-01-14       Impact factor: 38.330

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.  Inhibiting the MNK1/2-eIF4E axis impairs melanoma phenotype switching and potentiates antitumor immune responses.

Authors:  Fan Huang; Christophe Gonçalves; Margarita Bartish; Joelle Rémy-Sarrazin; Mark E Issa; Brendan Cordeiro; Qianyu Guo; Audrey Emond; Mikhael Attias; William Yang; Dany Plourde; Jie Su; Marina Godoy Gimeno; Yao Zhan; Alba Galán; Tomasz Rzymski; Milena Mazan; Magdalena Masiejczyk; Jacek Faber; Elie Khoury; Alexandre Benoit; Natascha Gagnon; David Dankort; Fabrice Journe; Ghanem E Ghanem; Connie M Krawczyk; H Uri Saragovi; Ciriaco A Piccirillo; Nahum Sonenberg; Ivan Topisirovic; Christopher E Rudd; Wilson H Miller; Sonia V Del Rincón
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

Review 10.  Genomic Approaches to Understanding Response and Resistance to Immunotherapy.

Authors:  David A Braun; Kelly P Burke; Eliezer M Van Allen
Journal:  Clin Cancer Res       Date:  2016-10-03       Impact factor: 12.531

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