Evidence map›Paper›PMID 39232806›Full record

ArticleBreast cancer research : BCR2024

Single-cell transcriptional atlas of tumor-associated macrophages in breast cancer.

Yupeng Zhang, Fan Zhong, Lei Liu

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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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

28 citing papers in PubMed.

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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

3 authors.

Yupeng ZhangInstitutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
Fan ZhongIntelligent Medicine Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, China. zonefan@163.com.
Lei LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China. liulei_sibs@163.com.

Funding

Shanghai Municipal People's Government DGF101009
6 · The paper itself

Abstract

backgroundThe internal heterogeneity of breast cancer, notably the tumor microenvironment (TME) consisting of malignant and non-malignant cells, has been extensively explored in recent years. The cells in this complex cellular ecosystem activate or suppress tumor immunity through phenotypic changes, secretion of metabolites and cell-cell communication networks. Macrophages, as the most abundant immune cells within the TME, are recruited by malignant cells and undergo phenotypic remodeling. Tumor-associated macrophages (TAMs) exhibit a variety of subtypes and functions, playing significant roles in impacting tumor immunity. However, their precise subtype delineation and specific function remain inadequately defined.

methodsThe publicly available single-cell transcriptomes of 49,141 cells from eight breast cancer patients with different molecular subtypes and stages were incorporated into our study. Unsupervised clustering and manual cell annotation were employed to accurately classify TAM subtypes. We then conducted functional analysis and constructed a developmental trajectory for TAM subtypes. Subsequently, the roles of TAM subtypes in cell-cell communication networks within the TME were explored using endothelial cells (ECs) and T cells as key nodes. Finally, analyses were repeated in another independent publish scRNA datasets to validate our findings for TAM characterization.

resultsTAMs are accurately classified into 7 subtypes, displaying anti-tumor or pro-tumor roles. For the first time, we identified a new TAM subtype capable of proliferation and expansion in breast cancer-TUBA1B

conclusionsOur study establishes a precise single-cell atlas of breast cancer TAMs, shedding light on their multifaceted roles in tumor biology and providing resources for targeting TAMs in breast cancer immunotherapy.

Indexed as

Breast NeoplasmsSingle-Cell AnalysisTranscriptomeTumor-Associated MacrophagesTumor MicroenvironmentBiomarkers, TumorCell CommunicationEndothelial CellsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, TumorCell-cell communicationCellular atlasSingle-cell transcriptomeTAMsTumor immunity

Identifiers

PMID39232806
PMCPMC11373130

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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.