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Immunogenomic analyses associate immunological alterations with mismatch repair defects in prostate cancer

Authors :
Daniel Nava Rodrigues
Pasquale Rescigno
David Liu
Wei Yuan
Suzanne Carreira
Maryou B. Lambros
George Seed
Joaquin Mateo
Ruth Riisnaes
Stephanie Mullane
Claire Margolis
Diana Miao
Susana Miranda
David Dolling
Matthew Clarke
Claudia Bertan
Mateus Crespo
Gunther Boysen
Ana Ferreira
Adam Sharp
Ines Figueiredo
Daniel Keliher
Saud Aldubayan
Kelly P. Burke
Semini Sumanasuriya
Mariane Sousa Fontes
Diletta Bianchini
Zafeiris Zafeiriou
Larissa Sena Teixeira Mendes
Kent Mouw
Michael T. Schweizer
Colin C. Pritchard
Stephen Salipante
Mary-Ellen Taplin
Himisha Beltran
Mark A. Rubin
Marcin Cieslik
Dan Robinson
Elizabeth Heath
Nikolaus Schultz
Joshua Armenia
Wassim Abida
Howard Scher
Christopher Lord
Alan D’Andrea
Charles L. Sawyers
Arul M. Chinnaiyan
Andrea Alimonti
Peter S. Nelson
Charles G. Drake
Eliezer M. Van Allen
Johann S. de Bono
Source :
The Journal of Clinical Investigation, Journal of Clinical Investigation
Publication Year :
2018
Publisher :
American Society for Clinical Investigation, 2018.

Abstract

BACKGROUND. Understanding the integrated immunogenomic landscape of advanced prostate cancer (APC) could impact stratified treatment selection. METHODS. Defective mismatch repair (dMMR) status was determined by either loss of mismatch repair protein expression on IHC or microsatellite instability (MSI) by PCR in 127 APC biopsies from 124 patients (Royal Marsden [RMH] cohort); MSI by targeted panel next-generation sequencing (MSINGS) was then evaluated in the same cohort and in 254 APC samples from the Stand Up To Cancer/Prostate Cancer Foundation (SU2C/PCF). Whole exome sequencing (WES) data from this latter cohort were analyzed for pathogenic MMR gene variants, mutational load, and mutational signatures. Transcriptomic data, available for 168 samples, was also performed. RESULTS. Overall, 8.1% of patients in the RMH cohort had some evidence of dMMR, which associated with decreased overall survival. Higher MSINGS scores associated with dMMR, and these APCs were enriched for higher T cell infiltration and PD-L1 protein expression. Exome MSINGS scores strongly correlated with targeted panel MSINGS scores (r = 0.73, P < 0.0001), and higher MSINGS scores associated with dMMR mutational signatures in APC exomes. dMMR mutational signatures also associated with MMR gene mutations and increased immune cell, immune checkpoint, and T cell–associated transcripts. APC with dMMR mutational signatures overexpressed a variety of immune transcripts, including CD200R1, BTLA, PD-L1, PD-L2, ADORA2A, PIK3CG, and TIGIT. CONCLUSION. These data could impact immune target selection, combination therapeutic strategy selection, and selection of predictive biomarkers for immunotherapy in APC. FUNDING. We acknowledge funding support from Movember, Prostate Cancer UK, The Prostate Cancer Foundation, SU2C, and Cancer Research UK.

Details

Language :
English
Database :
OpenAIRE
Journal :
The Journal of Clinical Investigation, Journal of Clinical Investigation
Accession number :
edsair.doi.dedup.....ae464976cb41ad2e29025b7aa814b46e