Identification of immune subtypes and response prediction to immune-checkpoint inhibitors for MDM4 gain/amplification luminal A type breast cancer

Author:

Zhao Fei,Wang Na-Na

Abstract

Abstract Objective: The aim of this work was to identify the consensus immune subtypes and predict the response to immune checkpoint inhibitor (ICIs) therapy for MDM4 gain/amplification luminal A type breast cancer (BC). Materials and Methods: Luminal A type BC expression data, copy number and corresponding clinical information were downloaded and pre-processed for subsequently analysis from The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC). Furthermore, gene set enrichment analysis (GSEA) was performed to identify transcripts functions between MDM4 gain/amplification and control samples. Subsequently, weighted gene co-expression network analysis (WGCNA) was applied to screen out gene modules related biomarkers for ICIs therapy response in luminal A type BC. We perform an unsupervised consensus clustering in MDM4 gain/amplification luminal A type BC from TCGA BC dataset based immune-related gene signatures (IRGs) and then used luminal A type BC from METABRIC BC as validation datasets. We performed the Tumor Immune Dysfunction and Exclusion (TIDE) analysis to predict ICIs response and explore significant relationship with immune subtype. Results: The results from GSEA indicated that luminal A type BC with MDM4 gain/amplification were significantly enriched in immunological signature gene sets. Significantly, we also identified three gene modules significantly association with immune checkpoint, DNA damage, and immune cell infiltering in luminal A type BC. Luminal A type BC could be categorized into two distinct immune subtypes based on the expression of IRGs. Luminal A type BC in one subtype showed high response to ICIs therapy, characterized by higher immune checkpoint genes score and CD8+ T-cell score compared to tumors in a second subtype. Conclusion: Our findings demonstrated that immune subtype for MDM4 gain/amplification luminal A type BC was beyond the current luminal A/B classification and a subset of luminal A type BC patients may benefit from ICIs therapy.

Publisher

Research Square Platform LLC

Reference40 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries;Sung H;CA: a cancer journal for clinicians,2021

2. Cancer statistics for the year 2020: An overview;Ferlay J;International journal of cancer,2021

3. A Retrospective Comparative Study Of Intrinsic Moleculer Breast Cancer Subtypes Between Young And Elderly Women With Breast Cancer;Bulut G,2016

4. Management of young women with early breast cancer;Poggio F;ESMO open,2018

5. Discordance of the PAM50 Intrinsic Subtypes Compared with Immunohistochemistry-Based Surrogate in Breast Cancer Patients: Potential Implication of Genomic Alterations of Discordance;Kim HK;Cancer research and treatment,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3