Evidence map›Paper›PMID 40079015›Full record

ReviewFrontiers in immunology2025

Analysis of single-cell and spatial transcriptomics in TNBC cell-cell interactions.

Yan Xin, Qiji Ma, Qiang Deng, Tielin Wang, Dongxu Wang, Gang Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Immunotherapy for triple-negative breast cancer: current trends and future prospects.Journal of the Egyptian National Cancer Institute · 2025
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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

6 authors.

Yan Xin *Department of Anesthesiology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Qiji MaDepartment of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China.
Qiang DengDepartment of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China.
Tielin WangCollege of Acupuncture, Moxibustion and Tuina, Changchun University of Chinese Medicine, Changchun, China.
Dongxu WangLaboratory Animal Center, College of Animal Science, Jilin University, Changchun, China.
Gang WangDepartment of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a highly malignant tumor in women, characterized by high morbidity, mortality, and recurrence rates. Although surgical treatment, radiotherapy, and chemotherapy are the mainstays of current treatment methods, the high heterogeneity of TNBC results in unsatisfactory outcomes with low 5-year survival rates. Rapid advancements in omics technology have propelled the understanding of TNBC molecular biology. The emergence of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) has significantly enhanced knowledge of tumor heterogeneity and the distribution, functionality, and intercellular interactions of various cell types within the tumor microenvironment, including tumor cells, T cells, B cells, macrophages, and fibroblasts. The present study provides an overview of the technical characteristics of scRNA-seq and ST, highlighting their applications in exploring TNBC heterogeneity, cell spatial distribution patterns, and intercellular interactions. This review aims to enhance the comprehension of TNBC at the cellular level for the development of effective therapeutic targets.

Indexed as

Cell CommunicationSingle-Cell AnalysisTranscriptomeTriple Negative Breast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTumor Microenvironmentcell-cell interactionsimmune cellssingle-cell RNA sequencingspatial transcriptomeTNBC

Identifiers

PMID40079015
PMCPMC11897037

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.