Evidence map›Paper›PMID 42470222›Full record

ArticleCancer medicine2026

Revealing the Interactions of Regulatory Factors in the Immune Microenvironment of Breast Cancer Based on Two-Way Orthogonal Partial Least Square Model and Cell Communication.

Zeyu Yang, Tianjing Du

Abstract read
In one paragraph

Article in Cancer medicine, 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

2 authors.

Zeyu YangPLA Naval Medical Center, Shanghai, China.
Tianjing DuDepartment of Plastic Surgery, Third Hospital of the Naval Medical University, Shanghai, China.ORCID https://orcid.org/0009-0009-4302-097X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment with immune checkpoint inhibitors is not universally effective, and the efficacy is challenging to predict using a single biomarker. Breast cancer (BC) cells develop within a complex microenvironment, which includes tumor cells, immune cells, and extracellular matrix, and they may interact through paracrine signaling. Elucidating the mechanisms of immune microenvironment regulation and intercellular interactions in BC is fundamental for screening efficacy markers and developing new immunotherapeutic targets. Based on the immune phenotype cellular infiltration characteristics and transcriptomic changes, we constructed a two-way orthogonal partial least square (O2PLS) model to identify immune cell infiltration (ICI) genes, quantitatively characterizing the immune microenvironment within BC to predict patient prognosis, select sensitive populations for immunotherapy, and provide a theoretical basis for the combination of immunotherapy with radiotherapy and chemotherapy. We described the T cell differentiation trajectories and intercellular communication landscapes and revealed the synergistic effects of receptors and ligands (CXCL9-CXCR3, CCL5-ACKR1, and GZMA-F2R) on the immune microenvironment and prognosis. These findings may contribute to elucidating the factors that shape the immune microenvironment and identifying new therapeutic targets.

Indexed as

Breast NeoplasmsCell CommunicationTumor MicroenvironmentBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, Tumorbreast cancercell–cell communicationinteractiontumor microenvironment

Identifiers

PMID42470222
PMCPMC13379786

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.