Cargando…

KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors

Epigenetic factors play important roles in tumor immunology. Histone-lysine N-methyltransferase 2 (KMT2) family genes exert histone H3 methylation, but its role in immunotherapy remains unclear. Our study is the first to investigate the correlation between KMT2 gene mutations and the clinical benefi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Rui, Wu, Hao-Xiang, Xu, Ming, Xie, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724704/
https://www.ncbi.nlm.nih.gov/pubmed/33298164
http://dx.doi.org/10.1186/s40364-020-00241-0
_version_ 1783620576151076864
author Zhang, Rui
Wu, Hao-Xiang
Xu, Ming
Xie, Xiaoyan
author_facet Zhang, Rui
Wu, Hao-Xiang
Xu, Ming
Xie, Xiaoyan
author_sort Zhang, Rui
collection PubMed
description Epigenetic factors play important roles in tumor immunology. Histone-lysine N-methyltransferase 2 (KMT2) family genes exert histone H3 methylation, but its role in immunotherapy remains unclear. Our study is the first to investigate the correlation between KMT2 gene mutations and the clinical benefit of immune checkpoint inhibitors (ICI) treatment. We firstly collected a primary ICI-treated cohort (n = 546) and found that patients with KMT2A/C mutations yielded better prognosis in terms of progression-free survival (PFS, Hazard ratio [HR] = 0.66, P = 0.002), objective response rate (ORR, 40.9% vs 20.3%, P < 0.001), durable clinical benefit (DCB, 48.3% vs 29.8%, P = 0.001) and overall survival (OS, HR = 0.70, P = 0.033). Furthermore, we validated the predictive potential of KMT2A/C mutations in an expanded ICI-treated cohort (n = 1395). KMT2A/C-mutant patients achieved better OS compared with KMT2A/C-wildtype patients (HR = 0.68, P = 0.003); and the survival advantages appeared in the majority of cancer subtypes. Our study suggests that KMT2A/C mutations function as a novel and potential predictive biomarker for ICI treatment in multiple solid tumors and the underlying mechanism is worth investigating.
format Online
Article
Text
id pubmed-7724704
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-77247042020-12-09 KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors Zhang, Rui Wu, Hao-Xiang Xu, Ming Xie, Xiaoyan Biomark Res Letter to the Editor Epigenetic factors play important roles in tumor immunology. Histone-lysine N-methyltransferase 2 (KMT2) family genes exert histone H3 methylation, but its role in immunotherapy remains unclear. Our study is the first to investigate the correlation between KMT2 gene mutations and the clinical benefit of immune checkpoint inhibitors (ICI) treatment. We firstly collected a primary ICI-treated cohort (n = 546) and found that patients with KMT2A/C mutations yielded better prognosis in terms of progression-free survival (PFS, Hazard ratio [HR] = 0.66, P = 0.002), objective response rate (ORR, 40.9% vs 20.3%, P < 0.001), durable clinical benefit (DCB, 48.3% vs 29.8%, P = 0.001) and overall survival (OS, HR = 0.70, P = 0.033). Furthermore, we validated the predictive potential of KMT2A/C mutations in an expanded ICI-treated cohort (n = 1395). KMT2A/C-mutant patients achieved better OS compared with KMT2A/C-wildtype patients (HR = 0.68, P = 0.003); and the survival advantages appeared in the majority of cancer subtypes. Our study suggests that KMT2A/C mutations function as a novel and potential predictive biomarker for ICI treatment in multiple solid tumors and the underlying mechanism is worth investigating. BioMed Central 2020-12-09 /pmc/articles/PMC7724704/ /pubmed/33298164 http://dx.doi.org/10.1186/s40364-020-00241-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Letter to the Editor
Zhang, Rui
Wu, Hao-Xiang
Xu, Ming
Xie, Xiaoyan
KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title_full KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title_fullStr KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title_full_unstemmed KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title_short KMT2A/C mutations function as a potential predictive biomarker for immunotherapy in solid tumors
title_sort kmt2a/c mutations function as a potential predictive biomarker for immunotherapy in solid tumors
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724704/
https://www.ncbi.nlm.nih.gov/pubmed/33298164
http://dx.doi.org/10.1186/s40364-020-00241-0
work_keys_str_mv AT zhangrui kmt2acmutationsfunctionasapotentialpredictivebiomarkerforimmunotherapyinsolidtumors
AT wuhaoxiang kmt2acmutationsfunctionasapotentialpredictivebiomarkerforimmunotherapyinsolidtumors
AT xuming kmt2acmutationsfunctionasapotentialpredictivebiomarkerforimmunotherapyinsolidtumors
AT xiexiaoyan kmt2acmutationsfunctionasapotentialpredictivebiomarkerforimmunotherapyinsolidtumors