Evidence map›Paper›PMID 34001978›Full record

ArticleScientific reports2021

Alternative splicing acts as an independent prognosticator in ovarian carcinoma.

Yan Ouyang, Kaide Xia, Xue Yang, Shichao Zhang, Li Wang, Shan Ren, Houming Zhou, Yi Liu, Fuzhou Tang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  8. Alternative splicing in ovarian cancer.Cell communication and signaling : CCS · 2024
    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

9 authors at 1 institution in 1 country.

Yan Ouyang *School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
Kaide Xia *School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
Xue YangSchool of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
Shichao ZhangGuiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, 550025, People's Republic of China.
Li WangChangshun County Medical Group Central Hospital, Guizhou, 550025, People's Republic of China.
Shan RenSchool of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
Houming ZhouGuiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, 550025, People's Republic of China.
Yi LiuGuiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, 550025, People's Republic of China. liuyigyhospital@163.com.
Fuzhou TangGuiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, 550025, People's Republic of China. tangfuzhou@163.com.
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS) events associated with oncogenic processes present anomalous perturbations in many cancers, including ovarian carcinoma. There are no reliable features to predict survival outcomes for ovarian cancer patients. In this study, comprehensive profiling of AS events was conducted by integrating AS data and clinical information of ovarian serous cystadenocarcinoma (OV). Survival-related AS events were identified by Univariate Cox regression analysis. Then, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were used to construct the prognostic signatures within each AS type. Furthermore, we established a splicing-related network to reveal the potential regulatory mechanisms between splicing factors and candidate AS events. A total of 730 AS events were identified as survival-associated splicing events, and the final prognostic signature based on all seven types of AS events could serve as an independent prognostic indicator and had powerful efficiency in distinguishing patient outcomes. In addition, survival-related AS events might be involved in tumor-related pathways including base excision repair and pyrimidine metabolism pathways, and some splicing factors might be correlated with prognosis-related AS events, including SPEN, SF3B5, RNPC3, LUC7L3, SRSF11 and PRPF38B. Our study constructs an independent prognostic signature for predicting ovarian cancer patients' survival outcome and contributes to elucidating the underlying mechanism of AS in tumor development.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticBiomarkers, TumorCarcinogenesisCystadenocarcinoma, SerousDatasets as TopicFemaleGene Expression ProfilingHumansOvarian NeoplasmsPrognosisRisk AssessmentRNA-SeqRNA Splicing FactorsSurvival AnalysisBiomarkers, TumorRNA Splicing Factors

Identifiers

PMID34001978
PMCPMC8129203
OpenAlexW3206316336

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.