Abstract

Immune checkpoint blockade therapies have extended patient survival across multiple cancer lineages, but there is a heated debate on whether cancer immunotherapy efficacy is different between male and female patients. We summarize the existing meta-analysis to show inconsistent conclusions for whether gender is associated with the immunotherapy response. We analyze molecular profiling from ICB-treated patients to identify molecular differences for immunotherapy responsiveness. We perform comprehensive analyses for patients from The Cancer Genome Atlas (TCGA) and reveal divergent patterns for sex bias in immune features across multiple cancer types. We further validate our observations in multiple independent data sets. Considering that the majority of clinical trials are in melanoma and lung cancer, meta-analyses that pool multiple cancer types have limitations to discern whether cancer immunotherapy efficacy is different between male and female patients. Future studies should include omics profiling to investigate sex-associated molecular differences in immunotherapy.

Immunotherapy has tremendous potential to treat many patients with cancer. In this study, the authors investigate the impact of gender on the response to therapy, highlighting the importance to include omics profiling in clinical studies.

Details

Title
Sex-associated molecular differences for cancer immunotherapy
Author
Ye Youqiong 1   VIAFID ORCID Logo  ; Ying, Jing 2 ; Li, Liang 3 ; Mills, Gordon B 4   VIAFID ORCID Logo  ; Diao Lixia 5   VIAFID ORCID Logo  ; Liu, Hong 6   VIAFID ORCID Logo  ; Leng, Han 7   VIAFID ORCID Logo 

 Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Immunology, Faculty of Basic Medicine, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); The University of Texas Health Science Center at Houston McGovern Medical School, Department of Biochemistry and Molecular Biology, Houston, USA (GRID:grid.267308.8) (ISNI:0000 0000 9206 2401) 
 The University of Texas Health Science Center at Houston McGovern Medical School, Department of Biochemistry and Molecular Biology, Houston, USA (GRID:grid.267308.8) (ISNI:0000 0000 9206 2401) 
 The University of Texas MD Anderson Cancer Center, Department of Biostatistics, Houston, USA (GRID:grid.240145.6) (ISNI:0000 0001 2291 4776) 
 Oregon Health and Science University, Knight Cancer Institute, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690) 
 The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computational Biology, Houston, USA (GRID:grid.240145.6) (ISNI:0000 0001 2291 4776) 
 Central South University, Department of Dermatology, Xiangya Hospital, Changsha, China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164) 
 The University of Texas Health Science Center at Houston McGovern Medical School, Department of Biochemistry and Molecular Biology, Houston, USA (GRID:grid.267308.8) (ISNI:0000 0000 9206 2401); The University of Texas Health Science Center at Houston, Center for Precision Health, Houston, USA (GRID:grid.267308.8) (ISNI:0000 0000 9206 2401) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2389713003
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.