Evidence map›Paper›PMID 33910445›Full record

ArticleTechnology in cancer research & treatment

Development and Validation of a RNA Binding Protein-Associated Prognostic Model for Hepatocellular Carcinoma.

Ming Wang, Feng Jiang, Ke Wei, Jimei Wang, Guoping Zhou, Chuyan Wu, Guoyong Yin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

7 citing papers in PubMed, 6 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

7 authors at 2 institutions in 1 country.

Ming WangDepartment of Plastic and Burn Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Feng JiangDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-3525-8752
Ke WeiMedical Service Section, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jimei WangDepartment of Neonatology, 92276Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-6755-8709
Guoping ZhouDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-5622-6020
Guoyong YinDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNObstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysregulation of RNA binding proteins (RBPs) has been identified in multiple malignant tumors correlated with tumor progression and occurrence. However, the function of RBPs is not well understood in hepatocellular carcinoma (HCC).

methodsThe RNA sequence data of HCC was extracted out of the Cancer Genome Atlas (TCGA) database and different RBPs were calculated between regular and cancerous tissue. The study explored the expression and predictive value of the RBPs systemically with a series of bioinformatic analyzes.

resultsA total of 330 RBPs, including 208 up-regulated and 122 down-regulated RBPs, were classified differently. Four RBPs (MRPL54, EZH2, PPARGC1A, EIF2AK4) were defined as the forecast related hub gene and used to construct a model for prediction. Further study showed that the high-risk subgroup is poor survived (OS) compared to the model-based low-risk subgroup. The area of the prognostic model under the time-dependent receiver operator characteristic (ROC) curve is 0.814 in TCGA training group and 0.729 in validation group, indicating a strong prognostic model. We also created a predictive nomogram and a web-based calculator (https://dxyjiang.shinyapps.io/RBPpredict/) based on the 4 RBPs and internal validation in the TCGA cohort, which displayed a beneficial predictive ability for HCC.

conclusionsOur results provide new insights into HCC pathogenesis. The 4-RBP gene signature showed a reliable HCC prediction ability with possible applications in therapeutic decision making and personalized therapy.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticNomogramsBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesCohort StudiesFollow-Up StudiesHumansLiver NeoplasmsPrognosisRNA-Binding ProteinsROC CurveSurvival RateBiomarkers, TumorRNA-Binding Proteinshepatocellular carcinoma (HCC)prognostic signatureRNA binding protein (RBP)survivalTCGA

Identifiers

PMID33910445
PMCPMC8111555
OpenAlexW3159244691

What OpenQuestion holds

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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 OpenQuestion graph.