Evidence map›Paper›PMID 33946043›Full record

ArticleAging2021

Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma.

Yongqiang Zhang, Yuqin Tang, Chengbin Guo, Gen Li

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 21 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

4 authors at 3 institutions in 1 country.

Yongqiang ZhangMolecular Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, P.R. China.
Yuqin TangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, P.R. China.
Chengbin GuoGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, P.R. China.
Gen LiGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, P.R. China.
Guangzhou Medical University · CNChengdu University of Traditional Chinese Medicine · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus-associated HCC (HCV-HCC) is a prevalent malignancy worldwide and the molecular mechanisms are still elusive. Here, we screened 240 differentially expressed genes (DEGs) of HCV-HCC from Gene expression omnibus (GEO) and the Cancer Genome Atlas (TCGA), followed by weighted gene coexpression network analysis (WGCNA) to identify the most significant module correlated with the overall survival. 10 hub genes (CCNB1, AURKA, TOP2A, NEK2, CENPF, NUF2, CDKN3, PRC1, ASPM, RACGAP1) were identified by four approaches (Protein-protein interaction networks of the DEGs and of the significant module by WGCNA, and diagnostic and prognostic values), and their abnormal expressions, diagnostic values, and prognostic values were successfully verified. A four hub gene-based prognostic signature was built using the least absolute shrinkage and selection operator (LASSO) algorithm and a multivariate Cox regression model with the ICGC-LIRI-JP cohort (N =112). Kaplan-Meier survival plots (

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularComputational BiologyDatasets as TopicGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHepatitis C, ChronicHumansKaplan-Meier EstimateLiverLiver NeoplasmsMicroRNAsPredictive Value of TestsPrognosisProtein Interaction MapsBiomarkers, TumorMicroRNAsRNA, MessengerTranscription Factorsbiomarkersdifferentially expressed geneshepatitis C virushepatocellular carcinomasWGCNA

Identifiers

PMID33946043
PMCPMC8148482
OpenAlexW3159189929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.