Characterization of alternative splicing events and prognostic signatures in breast cancer.

Pihua Han, Jingjun Zhu, Guang Feng, Zizhang Wang, Yanni Ding

Abstract read

In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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

2 citing papers in PubMed.

Genome-Wide Analysis of Alternative Splicing Identifies a Prognostic Signature in ER-Positive Breast Cancer.Genes · 2026
Article
Prognostic RNA-splicing archetypes in breast cancer identified by extended pre-training of histopathology foundation models.Nature communications · 2026
Article

4 · The record

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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.

Pihua Han *Breast Disease Center, Shaanxi Provincial Cancer Hospital, Xi'an City, 710000, Shaan Xi Province, China.

Jingjun Zhu *Department of Breast Surgery, Baotou Tumor Hospital, Inner Mongolia Autonomous Region, Baotou, 014030, China.

Guang FengThe Third Department of Burns and Plastic Surgery and Center of Wound Repair, the Fourth Medical Center of PLA General Hospital, Beijing, 100048, China.

Zizhang WangDepartment of Head and Neck Surgery, Shaanxi Provincial Cancer Hospital, Xi'an City, 710000, Shaan Xi Province, China.

Yanni DingBreast Disease Center, Shaanxi Provincial Cancer Hospital, Xi'an City, 710000, Shaan Xi Province, China. dingyanni_sxpth@126.com.ORCID http://orcid.org/0000-0001-6301-7174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) is one of the most common cancers worldwide. Abnormal alternative splicing (AS) frequently observed in cancers. This study aims to demonstrate AS events and signatures that might serve as prognostic indicators for BRCA.

methodsOriginal data for all seven types of splice events were obtained from TCGA SpliceSeq database. RNA-seq and clinical data of BRCA cohorts were downloaded from TCGA database. Survival-associated AS events in BRCA were analyzed by univariate COX proportional hazards regression model. Prognostic signatures were constructed for prognosis prediction in patients with BRCA based on survival-associated AS events. Pearson correlation analysis was performed to measure the correlation between the expression of splicing factors (SFs) and the percent spliced in (PSI) values of AS events. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted to demonstrate pathways in which survival-associated AS event is enriched.

resultsA total of 45,421 AS events in 21,232 genes were identified. Among them, 1121 AS events in 931 genes significantly correlated with survival for BRCA. The established AS prognostic signatures of seven types could accurately predict BRCA prognosis. The comprehensive AS signature could serve as independent prognostic factor for BRCA. A SF-AS regulatory network was therefore established based on the correlation between the expression levels of SFs and PSI values of AS events.

conclusionsThis study revealed survival-associated AS events and signatures that may help predict the survival outcomes of patients with BRCA. Additionally, the constructed SF-AS networks in BRCA can reveal the underlying regulatory mechanisms in BRCA.

Indexed as

Alternative SplicingGene Regulatory NetworksBiomarkers, TumorBreast NeoplasmsDatabases, GeneticDatasets as TopicFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisRisk AssessmentRNA-SeqRNA Splicing FactorsBiomarkers, TumorRNA Splicing FactorsAlternative splicingBreast cancerPrognosisThe Cancer genome atlas

Identifiers

PMID34022836

DOI10.1186/s12885-021-08305-6

PMCPMC8141138

What Socratic holds

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LicenceCC BY

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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 Socratic graph.