Evidence map›Paper›PMID 42472092›Full record

ArticleiScience2026

Immune-associated alternative splicing signatures define molecular subtypes in breast cancer.

Yaran Liu, Ping Wang, Bo Yuan, Ping Zhou, Qiang Sun

Abstract read
In one paragraph

Article in iScience, 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

5 authors.

Yaran LiuShandong Key Lab of Complex Medical Intelligence and Aging, Shandong Medical and Pharmaceutical University, Yantai 264003, Shandong, P.R. China.
Ping WangCenter for RNA Medicine, the Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, P.R. China.
Bo YuanInstitute of Artificial Intelligence, Beihang University, Beijing 100191, Haidian, P.R. China.
Ping ZhouDepartment of Thyroid and Breast Surgery, Liyang People's Hospital, Kangda College of Nanjing Medical University, Liyang 213300, Jiangsu, P.R. China.
Qiang SunShandong Key Lab of Complex Medical Intelligence and Aging, Shandong Medical and Pharmaceutical University, Yantai 264003, Shandong, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS) shapes tumor biology by generating mRNA isoforms that regulate oncogenic signaling, immune modulation, and therapeutic response. However, its immune-related role in breast cancer (BRCA) remains insufficiently defined. Using TCGA-BRCA RNA-seq and clinical data, we quantified percent-spliced-in values with SpliceSeq and identified 1,063 differentially expressed AS events across 861 genes. These genes were enriched in cancer- and immune-related pathways, including focal adhesion, VEGF signaling, and cytokine-receptor interactions. Prognostic analyses revealed immune-associated AS events linked to overall survival and progression-free interval. Consensus clustering defined three AS-based subtypes with distinct immune landscapes and outcomes. C3 showed high immune infiltration, immune-activating molecule expression, and favorable prognosis, consistent with an immune-hot phenotype, whereas C1 displayed immunosuppressive features. Genomic alterations in splicing factors were associated with elevated tumor mutation burden, suggesting genomic instability may contribute to immune-related splicing dysregulation in BRCA.

Indexed as

alternative splicingbreast cancerimmune microenvironmentimmunotherapymolecular subtypes

Identifiers

PMID42472092
PMCPMC13380440

What OpenQuestion holds

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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.