Evidence map›Paper›PMID 42101520›Full record

ArticleHuman cell2026

Deciphering the immunological landscape of HR + metastatic breast cancer: insights from single-cell transcriptomics.

Lifang He, Qianqian Zhao, Zexiao Chen, Lijuan He, Zhaochang Qi, Jundong Wu, Kexiang Zhou, Yukun Cui

Abstract read
In one paragraph

Article in Human cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lifang He *Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Road, Shantou, 515041, Guangdong, China.
Qianqian Zhao *School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China.
Zexiao ChenBreast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Road, Shantou, 515041, Guangdong, China.
Lijuan HeOutpatient Nursing, Hangzhou West Lake Zhijiang Ophthalmology Hospital, Hangzhou, Zhejiang, China.
Zhaochang QiLaboratory for Breast Cancer Diagnosis and Treatment, Shantou University Medical College, Cancer Hospital of Shantou University Medical College, 7 Raoping Road, Shantou, 515041, Guangdong, China.
Jundong WuBreast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Road, Shantou, 515041, Guangdong, China. wujun-dong@163.com.
Kexiang ZhouThe Third Affiliated Hospital of Chongqing Medical University, No. 1, Shuanghu Branch Road, Huixing Street, Yubei District, Chongqing, 401120, China. Zhoukexiang@hospital.cqmu.edu.cn.
Yukun CuiLaboratory for Breast Cancer Diagnosis and Treatment, Shantou University Medical College, Cancer Hospital of Shantou University Medical College, 7 Raoping Road, Shantou, 515041, Guangdong, China. ykcui@stu.edu.cn.

Funding

Foundation of Basic and Applied Basic Research of Guangdong Province 2023A1515220231National Natural Science Foundation Cultivation Project of Cancer Hospital of Shantou University Medical College 2023GP005"Research Incubation Project" of the Third Affiliated Hospital of Chongqing Medical University KY20073Science and Technology Special Fund of Guangdong Province of China 210728156901648Science and Technology Special Fund of Guangdong Province of China 210729156901814
6 · The paper itself

Abstract

Breast cancer remains the leading cause of cancer-related mortality among women worldwide, primarily due to metastatic complications. The immune components of the tumor microenvironment (TME) significantly influence metastatic progression. The objective of this study was to uniquely characterize the TME of hormone receptor-positive (HR +) breast cancer with a focus on ovarian metastasis using single-cell RNA sequencing. We delineated the cellular architecture of breast cancer tissues. A total of 9 cell types in 18 clusters were identified, including T cell, B cell and plasma, macrophage, neutrophil, fibroblast, macrophage, endothelial, basal, luminal, SMC (smooth muscle cells) and proliferation cells. Furthermore, macrophages were divided into tumor-associated macrophages and monocyte macrophages, with detailed marker gene analysis. Key statistical findings include the identification of five critical genes (GPR183, BHLHE41, CD83, SLC25A37, and SELL) associated with macrophage functionality. In vivo validation using immunohistochemistry on clinical samples from 10 breast cancer patients with ovarian metastases confirmed that GPR183, BHLHE41, and CD83 were highly expressed in tumor tissues, while SLC25A37 and SELL were highly expressed in adjacent normal tissues. Furthermore, survival analysis correlated the expression levels of these genes with patient outcomes, thus presenting potential prognostic biomarkers. Our study contributes to a deeper insight of the tumor microenvironment in HR + metastatic breast cancer, and offers potential targets for developing novel therapeutic interventions aimed at mitigating metastatic progression and improving clinical outcomes for HR + breast cancer patients.

Indexed as

Breast NeoplasmsSingle-Cell AnalysisTranscriptomeTumor MicroenvironmentBiomarkers, TumorFemaleHumansMacrophagesNeoplasm MetastasisOvarian NeoplasmsReceptors, EstrogenReceptors, ProgesteroneSingle-Cell Gene Expression AnalysisBiomarkers, TumorReceptors, EstrogenReceptors, ProgesteroneBreast cancerHormone receptor-positiveOvarian metastasisSingle-cell sequencingTumor microenvironment

Identifiers

PMID42101520
PMCPMC13156106

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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.