Evidence map›Paper›PMID 32962686›Full record

ArticleBMC cancer2020

Identification of an alternative splicing signature as an independent factor in colon cancer.

Haitao Chen, Jun Luo, Jianchun Guo

Abstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  1. Review
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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.

Haitao ChenDepartment of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Jun LuoDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Jianchun GuoDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. spring0324@126.com.ORCID http://orcid.org/0000-0002-7793-5432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer is a common malignant tumor with a poor prognosis. Abnormal alternative splicing (AS) events played a part in the occurrence and metastasis of the tumor. We aimed to develop a survival-associated AS signature in colon cancer.

methodsThe Percent Spliced In values of AS events were available in The Cancer Genome Atlas (TCGA) SpliceSeq database. Univariate Cox analysis was carried out to detect the prognosis-related AS events. We created a predictive model on account of the survival-associated AS events, which was further validated with a training-testing group design. Kaplan-Meier analysis was applied to assess patient survival. The area under curve (AUC) of receiver operating characteristic (ROC) was performed to evaluate the predictive values of this model. Meanwhile, the clinical relevance of the signature and its regulatory relationship with splicing factors (SFs) were also evaluated.

resultsIn total, 2132 survival-related AS events were identified from colon cancer samples. We developed an eleven-AS signature, in which the 5-year AUC value was 0.911. Meanwhile, the AUC values at five years were 0.782 and 0.855 in the testing and entire cohort, respectively. Multivariate Cox regression displayed that the T category and the risk score of the signature were independent risk factors of colon cancer survival. Also, we constructed an SFs-AS network based on 11 SFs and 48 AS events.

conclusionsWe identified an eleven-AS signature of colon cancer. This signature could be treated as an independent prognostic factor.

Indexed as

Alternative SplicingColonic NeoplasmsHumansModels, StatisticalPrognosisReproducibility of ResultsRNA Splicing FactorsROC CurveSurvival RateTranscriptomeRNA Splicing FactorsAlternative splicingColon cancerPrognosisSignature

Identifiers

PMID32962686
PMCPMC7510085

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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.