Evidence map›Paper›PMID 31975560›Full record

ArticleCancer medicine2020

Profiles of prognostic alternative splicing signature in hepatocellular carcinoma.

Fangming Wu, Qifeng Chen, Chaojun Liu, Xiaoran Duan, Jinlong Hu, Jian Liu, Huicun Cao, Wang Li, Hui Li

Open access · goldAbstract readValidation Study
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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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 4 institutions in 1 country.

Fangming WuDepartment of Comprehensive Intervention, Henan Provincial People's Hospital, Zhengzhou, China.
Qifeng ChenDepartment of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chaojun LiuBiotherapy Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoran DuanBiotherapy Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinlong HuDepartment of Oncology, Henan Provincial People's Hospital, Zhengzhou, China.
Jian LiuDepartment of Comprehensive Intervention, Henan Provincial People's Hospital, Zhengzhou, China.
Huicun CaoDepartment of Comprehensive Intervention, Henan Provincial People's Hospital, Zhengzhou, China.
Wang LiDepartment of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui LiDepartment of Comprehensive Intervention, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0000-0002-2314-3114
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CNSun Yat-sen University · CNHenan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have demonstrated the role of abnormal alternative splicing (AS) in tumor progression. This study examines the prognostic index (PI) of alternative splices (ASs) in patients with hepatocellular carcinoma (HCC). The clinical features and splicing events of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). Differentially expressed AS (DEAS) were compared between HCC and adjacent normal samples. Univariate Cox regression analysis was used to determine changes in DEAS associated with overall survival (OS). A PI was generated from OS-associated DEASs using Kaplan-Meier curves, receiver operating characteristic (ROC) curves, multivariate Cox regression, and cluster analysis. Then, the correlation between DEASs and splicing factors was assessed, followed by functional and pathway enrichment analysis. We identified 34 163 ASs of 8985 genes in HCC, and 153 OS-ASs were identified using univariate Cox regression analysis. Low- and high-PI groups were determined based on the median "PI-ALL" value according to significantly different survival (P = 2.2e - 16). The ROC curve of all PI (PI-ALL) had an area under the curve (AUC) of 0.993 for survival status in patients with HCC. A potential regulatory network associated with prognosis of patients with HCC was established. Enrichment analysis also resulted in the identification of several pathways potentially associated with carcinogenesis and progression of HCC. Four clusters were identified that were associated with clinical features and prognosis. Our study generated comprehensive profiles of ASs in HCC. The interaction network and functional connections were used to elucidate the underlying mechanisms of AS in HCC.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticBiomarkers, TumorCarcinogenesisCarcinoma, HepatocellularDisease ProgressionFollow-Up StudiesGene Regulatory NetworksHumansKaplan-Meier EstimateLinear ModelsLiver NeoplasmsModels, GeneticPrognosisRisk AssessmentRNA Splicing FactorsBiomarkers, TumorRNA Splicing Factorsalternative splicinghepatocellular carcinomaprognosissurvivalTCGA

Identifiers

PMID31975560
PMCPMC7064038
OpenAlexW3002900896

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.