Evidence map›Paper›PMID 33741523›Full record

ArticleGenomics, proteomics & bioinformatics2021

The mRNA-miRNA-lncRNA Regulatory Network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma.

Bo Hu, Xiaolu Ma, Peiyao Fu, Qiman Sun, Weiguo Tang, Haixiang Sun, Zhangfu Yang, Mincheng Yu, Jian Zhou, Jia Fan and 1 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  15. Stanniocalcin 2 (STC2): a universal tumour biomarker and a potential therapeutical target.Journal of experimental & clinical cancer research : CR · 2022
    Review
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  17. Article
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  19. The Prognostic Model and Drug Sensitivity ofFrontiers in molecular biosciences · 2022
    Article
  20. Article
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

11 authors.

Bo HuDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Xiaolu MaLaboratory Medicine Department, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Peiyao FuDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Qiman SunDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Weiguo TangInstitute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai 201199, China.
Haixiang SunDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Zhangfu YangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Mincheng YuDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China.
Jian ZhouDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200032, China; Institute of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Jia FanDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200032, China; Institute of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Yang XuDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (MOE), Fudan University, Shanghai 200032, China. Electronic address: xu.yang@zs-hospital.sh.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA-miRNA regulatory network, and an mRNA-miRNA-lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis. Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs. An expression module including 120 mRNAs was significantly correlated with HCC patient survival. Combined with patient survival data, several mRNAs and miRNAs, including CHST4, SLC22A8, STC2, hsa-miR-326, and hsa-miR-21 were identified from the network to predict HCC patient prognosis. Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC. Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways. The present study provides a bioinformatics method for biomarker screening, leading to the identification of an integrated mRNA-miRNA-lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicroRNAsRNA, Long NoncodingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansRNA, MessengerMicroRNAsMIRN326 microRNA, humanRNA, Long NoncodingRNA, MessengerHepatocellular carcinomamRNA–miRNA–lncRNA regulatory networkPrognostic factorSystems biologyTCGA database

Identifiers

PMID33741523
PMCPMC9402792

What Socratic 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 Socratic graph.