Evidence map›Paper›PMID 35637248›Full record

ArticleScientific reports2022

Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma.

Zhifeng Lin, Xuqiong Huang, Xiaohui Ji, Nana Tian, Yu Gan, Li Ke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Zhifeng Lin *Guangdong Province Key Laboratory of Major Obstetric Diseases, Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Xuqiong Huang *Medical Administration Division, Affiliated Huadu Hospital, Southern Medical University (People's Hospiatl of Huadu District), Guangzhou, 510800, China.
Xiaohui JiDepartment of Obstetrics and Gynaecology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Nana TianDepartment of Medical Record, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Yu GanDepartment of Medical Record, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Li KeGuangdong Province Key Laboratory of Major Obstetric Diseases, Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. keli1221@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy. In this study, we aimed to screen hub genes correlated with prognosis of HCC via multiple databases. 117 HCC-related genes were obtained from the intersection of the four databases. We subsequently identify 10 hub genes (JUN, IL10, CD34, MTOR, PTGS2, PTPRC, SELE, CSF1, APOB, MUC1) from PPI network by Cytoscape software analysis. Significant differential expression of hub genes between HCC tissues and adjacent tissues were observed in UALCAN, HCCDB and HPA databases. These hub genes were significantly associated with immune cell infiltrations and immune checkpoints. The hub genes were correlated with clinical parameters and survival probability of HCC patients. 147 potential targeted therapeutic drugs for HCC were identified through the DGIdb database. These hub genes could be used as novel prognostic biomarkers for HCC therapy.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisProtein Interaction MapsBiomarkers

Identifiers

PMID35637248
PMCPMC9151754

What Socratic 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 Socratic graph.