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Immune gene expression profiling reveals heterogeneity in luminal breast tumors

  1. Author:
    Zhu, Bin
    Tse, Lap Ah
    Wang,Difei
    Koka, Hela
    Zhang, Tongwu
    Abubakar, Mustapha
    Lee, Priscilla
    Wang, Feng
    Wu, Cherry
    Tsang, Koon Ho
    Chan, Wing-Cheong
    Law, Sze Hong
    Li, Mengjie
    Li, Wentao
    Wu, Suyang
    Liu, Zhiguang
    Huang, Bixia
    Zhang, Han
    Tang, Eric
    Kan, Zhengyan
    Lee, Soohyeon
    Park, Yeon Hee
    Nam, Seok Jin
    Wang, Mingyi
    Sun, Xuezheng
    Jones, Kristine
    Zhu,Bin
    Hutchinson,Amy
    Hicks,Belynda
    Prokunina-Olsson, Ludmila
    Shi, Jianxin
    Garcia-Closas, Montserrat
    Chanock, Stephen
    Yang, Xiaohong R [ORCID]
  2. Author Address

    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA., Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China. shelly@cuhk.edu.hk., Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA., North District Hospital, Hong Kong, China., Yan Chai Hospital, Hong Kong, China., Vanderbilt University, Nashville, TN, USA., Pfizer Oncology Research, San Diego, CA, 92121, USA., Pfizer Oncology, Seoul, 04631, South Korea., Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea., Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. royang@mail.nih.gov.,
    1. Year: 2019
    2. Date: Dec 19
    3. Epub Date: 2019 12 19
  1. Journal: Breast cancer research : BCR
    1. 21
    2. 1
    3. Pages: 147
  2. Type of Article: Article
  3. Article Number: 147
  4. ISSN: 1465-5411
  1. Abstract:

    Background: Heterogeneity of immune gene expression patterns of luminal breast cancer (BC), which is clinically heterogeneous and overall considered as low immunogenic, has not been well studied especially in non-European populations. Here, we aimed at characterizing the immune gene expression profile of luminal BC in an Asian population and associating it with patient characteristics and tumor genomic features. Methods: We performed immune gene expression profiling of tumor and adjacent normal tissue in 92 luminal BC patients from Hong Kong using RNA-sequencing data and used unsupervised consensus clustering to stratify tumors. We then used luminal patients from The Cancer Genome Atlas (TCGA, N = 564) and a Korean breast cancer study (KBC, N = 112) as replication datasets. Results: Based on the expression of 130 immune-related genes, luminal tumors were stratified into three distinct immune subtypes. Tumors in one subtype showed higher level of tumor-infiltrating lymphocytes (TILs), characterized by T cell gene activation, higher expression of immune checkpoint genes, higher nonsynonymous mutation burden, and higher APOBEC-signature mutations, compared with other luminal tumors. The high-TIL subtype was also associated with lower ESR1/ESR2 expression ratio and increasing body mass index. The comparison of the immune profile in tumor and matched normal tissue suggested a tumor-derived activation of specific immune responses, which was only seen in high-TIL patients. Tumors in a second subtype were characterized by increased expression of interferon-stimulated genes and enrichment for TP53 somatic mutations. The presence of three immune subtypes within luminal BC was replicated in TCGA and KBC, although the pattern was more similar in Asian populations. The germline APOBEC3B deletion polymorphism, which is prevalent in East Asian populations and was previously linked to immune activation, was not associated with immune subtypes in our study. This result does not support the hypothesis that the germline APOBEC3B deletion polymorphism is the driving force for immune activation in breast tumors in Asian populations. Conclusion: Our findings suggest that immune gene expression and associated genomic features could be useful to further stratify luminal BC beyond the current luminal A/B classification and a subset of luminal BC patients may benefit from checkpoint immunotherapy, at least in Asian populations.

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External Sources

  1. DOI: 10.1186/s13058-019-1218-9
  2. PMID: 31856876
  3. WOS: 000510618200001
  4. PII : 10.1186/s13058-019-1218-9

Library Notes

  1. Fiscal Year: FY2019-2020
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