Literature DB >> 34895481

HLA-A*03 and response to immune checkpoint blockade in cancer: an epidemiological biomarker study.

Vivek Naranbhai1, Mathias Viard2, Michael Dean3, Stefan Groha4, David A Braun4, Chris Labaki4, Sachet A Shukla4, Yuko Yuki2, Parantu Shah5, Kevin Chin6, Megan Wind-Rotolo7, Xinmeng Jasmine Mu8, Paul B Robbins9, Alexander Gusev4, Toni K Choueiri4, James L Gulley10, Mary Carrington11.   

Abstract

BACKGROUND: Predictive biomarkers could allow more precise use of immune checkpoint inhibitors (ICIs) in treating advanced cancers. Given the central role of HLA molecules in immunity, variation at the HLA loci could differentially affect the response to ICIs. The aim of this epidemiological study was to determine the effect of HLA-A*03 as a biomarker for predicting response to immunotherapy.
METHODS: In this epidemiological study, we investigated the clinical outcomes (overall survival, progression free survival, and objective response rate) after treatment for advanced cancer in eight cohorts of patients: three observational cohorts of patients with various types of advanced tumours (the Memorial Sloan Kettering Integrated Mutation Profiling of Actionable Cancer Targets [MSK-IMPACT] cohort, the Dana-Farber Cancer Institute [DFCI] Profile cohort, and The Cancer Genome Atlas) and five clinical trials of patients with advanced bladder cancer (JAVELIN Solid Tumour) or renal cell carcinoma (CheckMate-009, CheckMate-010, CheckMate-025, and JAVELIN Renal 101). In total, these cohorts included 3335 patients treated with various ICI agents (anti-PD-1, anti-PD-L1, and anti-CTLA-4 inhibitors) and 10 917 patients treated with non-ICI cancer-directed therapeutic approaches. We initially modelled the association of HLA amino-acid variation with overall survival in the MSK-IMPACT discovery cohort, followed by a detailed analysis of the association between HLA-A*03 and clinical outcomes in MSK-IMPACT, with replication in the additional cohorts (two further observational cohorts and five clinical trials).
FINDINGS: HLA-A*03 was associated in an additive manner with reduced overall survival after ICI treatment in the MSK-IMPACT cohort (HR 1·48 per HLA-A*03 allele [95% CI 1·20-1·82], p=0·00022), the validation DFCI Profile cohort (HR 1·22 per HLA-A*03 allele, 1·05-1·42; p=0·0097), and in the JAVELIN Solid Tumour clinical trial for bladder cancer (HR 1·36 per HLA-A*03 allele, 1·01-1·85; p=0·047). The HLA-A*03 effect was observed across ICI agents and tumour types, but not in patients treated with alternative therapies. Patients with HLA-A*03 had shorter progression-free survival in the pooled patient population from the three CheckMate clinical trials of nivolumab for renal cell carcinoma (HR 1·31, 1·01-1·71; p=0·044), but not in those receiving control (everolimus) therapies. Objective responses were observed in none of eight HLA-A*03 homozygotes in the ICI group (compared with 59 [26·6%] of 222 HLA-A*03 non-carriers and 13 (17·1%) of 76 HLA-A*03 heterozygotes). HLA-A*03 was associated with shorter progression-free survival in patients receiving ICI in the JAVELIN Renal 101 randomised clinical trial for renal cell carcinoma (avelumab plus axitinib; HR 1·59 per HLA-A*03 allele, 1·16-2·16; p=0·0036), but not in those receiving control (sunitinib) therapy. Objective responses were recorded in one (12·5%) of eight HLA-A*03 homozygotes in the ICI group (compared with 162 [63·8%] of 254 HLA-A*03 non-carriers and 40 [55·6%] of 72 HLA-A*03 heterozygotes). HLA-A*03 was associated with impaired outcome in meta-analysis of all 3335 patients treated with ICI at genome-wide significance (p=2·01 × 10-8) with no evidence of heterogeneity in effect (I2 0%, 95% CI 0-0·76)
INTERPRETATION: HLA-A*03 is a predictive biomarker of poor response to ICI. Further evaluation of HLA-A*03 is warranted in randomised trials. HLA-A*03 carriage could be considered in decisions to initiate ICI in patients with cancer. FUNDING: National Institutes of Health, Merck KGaA, and Pfizer.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2021        PMID: 34895481      PMCID: PMC8742225          DOI: 10.1016/S1470-2045(21)00582-9

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  28 in total

1.  Immunomodulatory Activity of Nivolumab in Metastatic Renal Cell Carcinoma.

Authors:  Toni K Choueiri; Mayer N Fishman; Bernard Escudier; David F McDermott; Charles G Drake; Harriet Kluger; Walter M Stadler; Jose Luis Perez-Gracia; Douglas G McNeel; Brendan Curti; Michael R Harrison; Elizabeth R Plimack; Leonard Appleman; Lawrence Fong; Laurence Albiges; Lewis Cohen; Tina C Young; Scott D Chasalow; Petra Ross-Macdonald; Shivani Srivastava; Maria Jure-Kunkel; John F Kurland; Jason S Simon; Mario Sznol
Journal:  Clin Cancer Res       Date:  2016-05-11       Impact factor: 12.531

2.  Epigenetic regulation of differential HLA-A allelic expression levels.

Authors:  Veron Ramsuran; Smita Kulkarni; Colm O'huigin; Yuko Yuki; Danillo G Augusto; Xiaojiang Gao; Mary Carrington
Journal:  Hum Mol Genet       Date:  2015-05-01       Impact factor: 6.150

3.  Nivolumab for Metastatic Renal Cell Carcinoma: Results of a Randomized Phase II Trial.

Authors:  Robert J Motzer; Brian I Rini; David F McDermott; Bruce G Redman; Timothy M Kuzel; Michael R Harrison; Ulka N Vaishampayan; Harry A Drabkin; Saby George; Theodore F Logan; Kim A Margolin; Elizabeth R Plimack; Alexandre M Lambert; Ian M Waxman; Hans J Hammers
Journal:  J Clin Oncol       Date:  2014-12-01       Impact factor: 44.544

4.  Interplay of somatic alterations and immune infiltration modulates response to PD-1 blockade in advanced clear cell renal cell carcinoma.

Authors:  Sabina Signoretti; Catherine J Wu; Sachet A Shukla; Toni K Choueiri; David A Braun; Yue Hou; Ziad Bakouny; Miriam Ficial; Miriam Sant' Angelo; Juliet Forman; Petra Ross-Macdonald; Ashton C Berger; Opeyemi A Jegede; Liudmilla Elagina; John Steinharter; Maxine Sun; Megan Wind-Rotolo; Jean-Christophe Pignon; Andrew D Cherniack; Lee Lichtenstein; Donna Neuberg; Paul Catalano; Gordon J Freeman; Arlene H Sharpe; David F McDermott; Eliezer M Van Allen
Journal:  Nat Med       Date:  2020-05-29       Impact factor: 53.440

5.  Survival and prognostic stratification of 670 patients with advanced renal cell carcinoma.

Authors:  R J Motzer; M Mazumdar; J Bacik; W Berg; A Amsterdam; J Ferrara
Journal:  J Clin Oncol       Date:  1999-08       Impact factor: 44.544

6.  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

7.  Tumor Mutational Burden, Toxicity, and Response of Immune Checkpoint Inhibitors Targeting PD(L)1, CTLA-4, and Combination: A Meta-regression Analysis.

Authors:  Arsen Osipov; Su Jin Lim; Aleksandra Popovic; Nilofer S Azad; Daniel A Laheru; Lei Zheng; Elizabeth M Jaffee; Hao Wang; Mark Yarchoan
Journal:  Clin Cancer Res       Date:  2020-06-25       Impact factor: 12.531

8.  Avelumab in metastatic urothelial carcinoma after platinum failure (JAVELIN Solid Tumor): pooled results from two expansion cohorts of an open-label, phase 1 trial.

Authors:  Manish R Patel; John Ellerton; Jeffrey R Infante; Manish Agrawal; Michael Gordon; Raid Aljumaily; Carolyn D Britten; Luc Dirix; Keun-Wook Lee; Mathew Taylor; Patrick Schöffski; Ding Wang; Alain Ravaud; Arnold B Gelb; Junyuan Xiong; Galit Rosen; James L Gulley; Andrea B Apolo
Journal:  Lancet Oncol       Date:  2017-12-05       Impact factor: 41.316

9.  Resistance to checkpoint blockade therapy through inactivation of antigen presentation.

Authors:  Moshe Sade-Feldman; Yunxin J Jiao; Jonathan H Chen; Michael S Rooney; Michal Barzily-Rokni; Jean-Pierre Eliane; Stacey L Bjorgaard; Marc R Hammond; Hans Vitzthum; Shauna M Blackmon; Dennie T Frederick; Mehlika Hazar-Rethinam; Brandon A Nadres; Emily E Van Seventer; Sachet A Shukla; Keren Yizhak; John P Ray; Daniel Rosebrock; Dimitri Livitz; Viktor Adalsteinsson; Gad Getz; Lyn M Duncan; Bo Li; Ryan B Corcoran; Donald P Lawrence; Anat Stemmer-Rachamimov; Genevieve M Boland; Dan A Landau; Keith T Flaherty; Ryan J Sullivan; Nir Hacohen
Journal:  Nat Commun       Date:  2017-10-26       Impact factor: 14.919

10.  Imputing amino acid polymorphisms in human leukocyte antigens.

Authors:  Xiaoming Jia; Buhm Han; Suna Onengut-Gumuscu; Wei-Min Chen; Patrick J Concannon; Stephen S Rich; Soumya Raychaudhuri; Paul I W de Bakker
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

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  5 in total

1.  Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma.

Authors:  Landon C Brown; Jason Zhu; Kunal Desai; Emily Kinsey; Chester Kao; Yong Hee Lee; Sarabjot Pabla; Matthew K Labriola; Jennifer Tran; Konstantin H Dragnev; Laura J Tafe; Farshid Dayyani; Rajan T Gupta; Shannon McCall; Daniel J George; Sean T Glenn; Mary K Nesline; Saby George; Matthew Zibelman; Carl Morrison; Moshe C Ornstein; Tian Zhang
Journal:  J Immunother Cancer       Date:  2022-10       Impact factor: 12.469

2.  HLA-A∗03:01 is associated with increased risk of fever, chills, and stronger side effects from Pfizer-BioNTech COVID-19 vaccination.

Authors:  Alexandre Bolze; Iva Neveux; Kelly M Schiabor Barrett; Simon White; Magnus Isaksson; Shaun Dabe; William Lee; Joseph J Grzymski; Nicole L Washington; Elizabeth T Cirulli
Journal:  HGG Adv       Date:  2022-01-01

Review 3.  Predictive Markers for Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.

Authors:  Ryota Ushio; Shuji Murakami; Haruhiro Saito
Journal:  J Clin Med       Date:  2022-03-27       Impact factor: 4.241

4.  Human Leucocyte Antigens as Prognostic Markers in Head and Neck Squamous Cell Carcinoma.

Authors:  Gerhard Dyckhoff; Christel Herold-Mende; Sabine Scherer; Peter K Plinkert; Rolf Warta
Journal:  Cancers (Basel)       Date:  2022-08-07       Impact factor: 6.575

Review 5.  '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

  5 in total

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