Evidence map›Paper›PMID 31489763›Full record

ArticleJournal of cellular and molecular medicine2019

Identification of prognosis-related alternative splicing events in kidney renal clear cell carcinoma.

Yongdi Zuo, Liang Zhang, Weihao Tang, Wanxin Tang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Genome-Wide Association Study of Reproductive Traits in Large White Pigs.Animals : an open access journal from MDPI · 2024
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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

4 authors.

Yongdi ZuoDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
Liang ZhangDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
Weihao TangChengdu Foreign Language School, Chengdu, China.
Wanxin TangDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-6709-5591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS) contributes to protein diversity by modifying most gene transcriptions. Cancer generation and progression are associated with specific splicing events. However, AS signature in kidney renal clear cell carcinoma (KIRC) remains unknown. In this study, genome-wide AS profiles were generated in 537 patients with KIRC in the cancer genome atlas. With a total of 42 522 mRNA AS events in 10 600 genes acquired, 8164 AS events were significantly associated with the survival of patients with KIRC. Logistic regression analysis of the least absolute shrinkage and selection operator was conducted to identify an optimized multivariate prognostic predicting mode containing four predictors. In this model, the receptor-operator characteristic curves of the training set were built, and the areas under the curves (AUCs) at different times were >0.88, thus indicating a stable and powerful ability in distinguishing patients' outcome. Similarly, the AUCs of the test set at different times were >0.73, verifying the results of the training set. Correlation and gene ontology analyses revealed some potential functions of prognostic AS events. This study provided an optimized survival-predicting model and promising data resources for future in-depth studies on AS mechanisms in KIRC.

Indexed as

Alternative SplicingCarcinoma, Renal CellCohort StudiesGene Expression Regulation, NeoplasticGene OntologyHumansKidney NeoplasmsModels, BiologicalMultivariate AnalysisPrognosisSurvival Analysisalternative splicingbioinformaticsKIRCLASSO regressionTCGA

Identifiers

PMID31489763
PMCPMC6815842

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.