Literature DB >> 33029628

Genomics-based immuno-oncology: bridging the gap between immunology and tumor biology.

Renzo G DiNatale1,2, A Ari Hakimi2, Timothy A Chan1,3,4,5.   

Abstract

The first hypotheses about how the immune system affects cancers were proposed in the early 20th century. These early concepts about cancer immunosurveillance were further developed in the decades that followed, but a detailed understanding of cancer immunity remained elusive. It was only recently, through the advent of high-throughput technologies, that scientists gained the ability to profile tumors with a resolution that allowed for granular assessment of both tumor cells and the tumor microenvironment. The advent of immune checkpoint inhibitors (ICIs), which have proven to be effective cancer therapies in many malignancies, has spawned great interest in developing biomarkers for efficacy, an endeavor that highlighted the value of dissecting tumor immunity using large-scale methods. Response to ICI therapy has been shown to be a highly complex process, where the dynamics of tumor and immune cells is key to success. The need to understand the biologic mechanisms at the tumor-immune interface has given rise to the field of cancer immunogenomics, a discipline that aims to bridge the gap between cancer genomics and classical immunology. We provide a broad overview of this emerging branch of translational science, summarizing common platforms used and recent discoveries in the field, which are having direct clinical implications. Our discussion will be centered around the genetic foundations governing tumor immunity and molecular determinants associated with clinical benefit from ICI therapy. We emphasize the importance of molecular diversity as a driver of anti-tumor immunity and discuss how these factors can be probed using genomic approaches.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Year:  2020        PMID: 33029628      PMCID: PMC7574960          DOI: 10.1093/hmg/ddaa203

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  177 in total

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5.  Restoration of the expression of transports associated with antigen processing in human malignant melanoma increases tumor-specific immunity.

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Authors:  Benjamin A Kansy; Fernando Concha-Benavente; Raghvendra M Srivastava; Hyun-Bae Jie; Gulidanna Shayan; Yu Lei; Jessica Moskovitz; Jennifer Moy; Jing Li; Sven Brandau; Stephan Lang; Nicole C Schmitt; Gordon J Freeman; William E Gooding; David A Clump; Robert L Ferris
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Journal:  BMC Biotechnol       Date:  2017-07-10       Impact factor: 2.563

9.  MHC-I genotype and tumor mutational burden predict response to immunotherapy.

Authors:  Aaron M Goodman; Andrea Castro; Rachel Marty Pyke; Ryosuke Okamura; Shumei Kato; Paul Riviere; Garrett Frampton; Ethan Sokol; Xinlian Zhang; Edward D Ball; Hannah Carter; Razelle Kurzrock
Journal:  Genome Med       Date:  2020-05-19       Impact factor: 11.117

10.  TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells.

Authors:  Sanjeev Mariathasan; Shannon J Turley; Dorothee Nickles; Alessandra Castiglioni; Kobe Yuen; Yulei Wang; Edward E Kadel; Hartmut Koeppen; Jillian L Astarita; Rafael Cubas; Suchit Jhunjhunwala; Romain Banchereau; Yagai Yang; Yinghui Guan; Cecile Chalouni; James Ziai; Yasin Şenbabaoğlu; Stephen Santoro; Daniel Sheinson; Jeffrey Hung; Jennifer M Giltnane; Andrew A Pierce; Kathryn Mesh; Steve Lianoglou; Johannes Riegler; Richard A D Carano; Pontus Eriksson; Mattias Höglund; Loan Somarriba; Daniel L Halligan; Michiel S van der Heijden; Yohann Loriot; Jonathan E Rosenberg; Lawrence Fong; Ira Mellman; Daniel S Chen; Marjorie Green; Christina Derleth; Gregg D Fine; Priti S Hegde; Richard Bourgon; Thomas Powles
Journal:  Nature       Date:  2018-02-14       Impact factor: 49.962

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  1 in total

1.  High Response Rate and Durability Driven by HLA Genetic Diversity in Patients with Kidney Cancer Treated with Lenvatinib and Pembrolizumab.

Authors:  Chung-Han Lee; Renzo G DiNatale; Diego Chowell; Chirag Krishna; Vladimir Makarov; Cristina Valero; Lynda Vuong; Mark Lee; Kate Weiss; Doug Hoen; Luc Morris; Ed Reznik; Samuel Murray; Ritesh Kotecha; Martin H Voss; Maria I Carlo; Darren Feldman; Pallavi Sachdev; Yusuke Adachi; Yukinori Minoshima; Junji Matsui; Yasuhiro Funahashi; Kenichi Nomoto; A Ari Hakimi; Robert J Motzer; Timothy A Chan
Journal:  Mol Cancer Res       Date:  2021-05-26       Impact factor: 5.852

  1 in total

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