Literature DB >> 35121862

Negative trade-off between neoantigen repertoire breadth and the specificity of HLA-I molecules shapes antitumor immunity.

Máté Manczinger1,2,3,4, Balázs Koncz5, Gergő Mihály Balogh5, Benjamin Tamás Papp5,6, Leó Asztalos5,6, Lajos Kemény5,7,8, Balázs Papp9,10, Csaba Pál11.   

Abstract

Human leukocyte antigen class I (HLA-I) genes shape our immune response against pathogens and cancer. Certain HLA-I variants can bind a wider range of peptides than others, a feature that could be favorable against a range of viral diseases. However, the implications of this phenomenon on cancer immune response are unknown. Here we quantified peptide repertoire breadth (or promiscuity) of a representative set of HLA-I alleles and found that patients with cancer who were carrying HLA-I alleles with high peptide-binding promiscuity have significantly worse prognosis after immune checkpoint inhibition. This can be explained by a reduced capacity of the immune system to discriminate tumor neopeptides from self-peptides when patients carry highly promiscuous HLA-I variants, shifting the regulation of tumor-infiltrating T cells from activation to tolerance. In summary, HLA-I peptide-binding specificity shapes neopeptide immunogenicity and the self-immunopeptidome repertoire in an antagonistic manner, and could underlie a negative trade-off between antitumor immunity and genetic susceptibility to viral infections.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 35121862     DOI: 10.1038/s43018-021-00226-4

Source DB:  PubMed          Journal:  Nat Cancer        ISSN: 2662-1347


  78 in total

1.  Neoantigen landscape dynamics during human melanoma-T cell interactions.

Authors:  Els M E Verdegaal; Noel F C C de Miranda; Marten Visser; Tom Harryvan; Marit M van Buuren; Rikke S Andersen; Sine R Hadrup; Caroline E van der Minne; Remko Schotte; Hergen Spits; John B A G Haanen; Ellen H W Kapiteijn; Ton N Schumacher; Sjoerd H van der Burg
Journal:  Nature       Date:  2016-06-27       Impact factor: 49.962

Review 2.  The MHC, disease and selection.

Authors:  John Trowsdale
Journal:  Immunol Lett       Date:  2011-01-22       Impact factor: 3.685

3.  PD-L1 Expression, Tumor Mutational Burden, and Cancer Gene Mutations Are Stronger Predictors of Benefit from Immune Checkpoint Blockade than HLA Class I Genotype in Non-Small Cell Lung Cancer.

Authors:  Marcelo V Negrao; Vincent K Lam; Alexandre Reuben; Maria Laura Rubin; Lara Lacerda Landry; Emily B Roarty; Waree Rinsurongkawong; Jeff Lewis; Jack A Roth; Stephen G Swisher; Don L Gibbons; Ignacio I Wistuba; Vassiliki Papadimitrakopoulou; Bonnie S Glisson; George R Blumenschein; J Jack Lee; John V Heymach; Jianjun Zhang
Journal:  J Thorac Oncol       Date:  2019-02-16       Impact factor: 15.609

4.  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

5.  Post-ischemic acute renal failure protects proximal tubules from O2 deprivation injury, possibly by inducing uremia.

Authors:  R A Zager; M Iwata; K M Burkhart; B A Schimpf
Journal:  Kidney Int       Date:  1994-06       Impact factor: 10.612

6.  MHC-I Genotype Restricts the Oncogenic Mutational Landscape.

Authors:  Rachel Marty; Saghar Kaabinejadian; David Rossell; Michael J Slifker; Joris van de Haar; Hatice Billur Engin; Nicola de Prisco; Trey Ideker; William H Hildebrand; Joan Font-Burgada; Hannah Carter
Journal:  Cell       Date:  2017-10-26       Impact factor: 41.582

7.  Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy.

Authors:  Diego Chowell; Chirag Krishna; Federica Pierini; Vladimir Makarov; Naiyer A Rizvi; Fengshen Kuo; Luc G T Morris; Nadeem Riaz; Tobias L Lenz; Timothy A Chan
Journal:  Nat Med       Date:  2019-11-07       Impact factor: 53.440

Review 8.  Neoantigens in cancer immunotherapy.

Authors:  Ton N Schumacher; Robert D Schreiber
Journal:  Science       Date:  2015-04-03       Impact factor: 47.728

9.  Pathogen diversity drives the evolution of generalist MHC-II alleles in human populations.

Authors:  Máté Manczinger; Gábor Boross; Lajos Kemény; Viktor Müller; Tobias L Lenz; Balázs Papp; Csaba Pál
Journal:  PLoS Biol       Date:  2019-01-31       Impact factor: 8.029

10.  Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution.

Authors:  Nicholas McGranahan; Rachel Rosenthal; Crispin T Hiley; Andrew J Rowan; Thomas B K Watkins; Gareth A Wilson; Nicolai J Birkbak; Selvaraju Veeriah; Peter Van Loo; Javier Herrero; Charles Swanton
Journal:  Cell       Date:  2017-10-26       Impact factor: 41.582

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  4 in total

Review 1.  Computational cancer neoantigen prediction: current status and recent advances.

Authors:  G Fotakis; Z Trajanoski; D Rieder
Journal:  Immunooncol Technol       Date:  2021-11-20

2.  HLA-I-restricted CD8+ T cell immunity may accelerate tumorigenesis in conjunction with VHL inactivation.

Authors:  BeumJin Park; Seok-Jae Heo; Yong Joon Lee; Mi-Kyoung Seo; Jiyun Hong; Eui-Cheol Shin; Inkyung Jung; Sangwoo Kim
Journal:  iScience       Date:  2022-05-25

3.  HLA Class I Downregulation in Progressing Metastases of Melanoma Patients Treated With Ipilimumab.

Authors:  Andrea Ladányi; Barbara Hegyi; Tímea Balatoni; Gabriella Liszkay; Raphael Rohregger; Christoph Waldnig; József Dudás; Soldano Ferrone
Journal:  Pathol Oncol Res       Date:  2022-04-22       Impact factor: 2.874

Review 4.  'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors.

Authors:  Ashray Gunjur; Andrea J Manrique-Rincón; Oliver Klein; Andreas Behren; Trevor D Lawley; Sarah J Welsh; David J Adams
Journal:  J Pathol       Date:  2022-05-20       Impact factor: 9.883

  4 in total

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