Literature DB >> 29107334

MHC-I Genotype Restricts the Oncogenic Mutational Landscape.

Rachel Marty1, Saghar Kaabinejadian2, David Rossell3, Michael J Slifker4, Joris van de Haar5, Hatice Billur Engin6, Nicola de Prisco7, Trey Ideker8, William H Hildebrand2, Joan Font-Burgada9, Hannah Carter10.   

Abstract

MHC-I molecules expose the intracellular protein content on the cell surface, allowing T cells to detect foreign or mutated peptides. The combination of six MHC-I alleles each individual carries defines the sub-peptidome that can be effectively presented. We applied this concept to human cancer, hypothesizing that oncogenic mutations could arise in gaps in personal MHC-I presentation. To validate this hypothesis, we developed and applied a residue-centric patient presentation score to 9,176 cancer patients across 1,018 recurrent oncogenic mutations. We found that patient MHC-I genotype-based scores could predict which mutations were more likely to emerge in their tumor. Accordingly, poor presentation of a mutation across patients was correlated with higher frequency among tumors. These results support that MHC-I genotype-restricted immunoediting during tumor formation shapes the landscape of oncogenic mutations observed in clinically diagnosed tumors and paves the way for predicting personal cancer susceptibilities from knowledge of MHC-I genotype.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  antigen presentation; cancer; cancer predisposition; cancer susceptibility prediction; human leukocyte antigen; immunoediting; immunology; immunotherapy; major histocompatibility complex; neoantigens

Mesh:

Substances:

Year:  2017        PMID: 29107334      PMCID: PMC5711564          DOI: 10.1016/j.cell.2017.09.050

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


  37 in total

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Authors:  Bronwen L Aken; Premanand Achuthan; Wasiu Akanni; M Ridwan Amode; Friederike Bernsdorff; Jyothish Bhai; Konstantinos Billis; Denise Carvalho-Silva; Carla Cummins; Peter Clapham; Laurent Gil; Carlos García Girón; Leo Gordon; Thibaut Hourlier; Sarah E Hunt; Sophie H Janacek; Thomas Juettemann; Stephen Keenan; Matthew R Laird; Ilias Lavidas; Thomas Maurel; William McLaren; Benjamin Moore; Daniel N Murphy; Rishi Nag; Victoria Newman; Michael Nuhn; Chuang Kee Ong; Anne Parker; Mateus Patricio; Harpreet Singh Riat; Daniel Sheppard; Helen Sparrow; Kieron Taylor; Anja Thormann; Alessandro Vullo; Brandon Walts; Steven P Wilder; Amonida Zadissa; Myrto Kostadima; Fergal J Martin; Matthieu Muffato; Emily Perry; Magali Ruffier; Daniel M Staines; Stephen J Trevanion; Fiona Cunningham; Andrew Yates; Daniel R Zerbino; Paul Flicek
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  122 in total

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7.  ALPHLARD-NT: Bayesian Method for Human Leukocyte Antigen Genotyping and Mutation Calling through Simultaneous Analysis of Normal and Tumor Whole-Genome Sequence Data.

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Review 8.  Molecular mechanisms of the preventable causes of cancer in the United States.

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Review 9.  Update on Tumor Neoantigens and Their Utility: Why It Is Good to Be Different.

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