Evidence map›Paper›PMID 31856876›Full record

ArticleBreast cancer research : BCR2019

Immune gene expression profiling reveals heterogeneity in luminal breast tumors.

Bin Zhu, Lap Ah Tse, Difei Wang, Hela Koka, Tongwu Zhang, Mustapha Abubakar, Priscilla Lee, Feng Wang, Cherry Wu, Koon Ho Tsang and 24 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors at 7 institutions in 3 countries.

Bin ZhuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Lap Ah TseDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China. shelly@cuhk.edu.hk.
Difei WangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Hela KokaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Tongwu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Priscilla LeeDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Feng WangDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Cherry WuNorth District Hospital, Hong Kong, China.
Koon Ho TsangYan Chai Hospital, Hong Kong, China.
Wing-Cheong ChanNorth District Hospital, Hong Kong, China.
Sze Hong LawYan Chai Hospital, Hong Kong, China.
Mengjie LiDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Wentao LiDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Suyang WuDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Zhiguang LiuDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Bixia HuangDivision of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China.
Han ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Eric TangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Zhengyan KanPfizer Oncology Research, San Diego, CA, 92121, USA.
Soohyeon LeePfizer Oncology, Seoul, 04631, South Korea.
Yeon Hee ParkDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea.
Seok Jin NamDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea.
Mingyi WangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Xuezheng SunDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kristine JonesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Bin ZhuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Amy HutchinsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Belynda HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Ludmila Prokunina-OlssonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Stephen ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Xiaohong R YangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. royang@mail.nih.gov.ORCID 0000-0003-4451-8664
National Institutes of Health · USChinese University of Hong Kong · HKLeidos (United States) · USSamsung Medical Center · KRPfizer (South Korea) · KRPfizer (United States) · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeterogeneity 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.

methodsWe 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.

resultsBased 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.

conclusionOur 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.

Indexed as

Gene Expression ProfilingTranscriptomeBiomarkers, TumorBreast NeoplasmsComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansImmunityLymphocytes, Tumor-InfiltratingMutationReproducibility of ResultsTumor MicroenvironmentBiomarkers, TumorAPOBEC3B germline deletionAsianImmune subtypesLuminal breast cancerSomatic mutationsTumor-infiltrating lymphocytes

Identifiers

PMID31856876
PMCPMC6924001
OpenAlexW2996016044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.