Evidence map›Paper›PMID 35242200›Full record

ArticleComputational and mathematical methods in medicine2022

A Pyroptosis-Related Gene Signature to Predict Patients' Prognosis and Immune Landscape in Liver Hepatocellular Carcinoma.

Jiakun Wang, Zhihao Huang, Hongcheng Lu, Rongguiyi Zhang, Qian Feng, Aoxiao He

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 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

6 authors at 1 institution in 1 country.

Jiakun WangDepartment of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.ORCID https://orcid.org/0000-0002-7594-014X
Zhihao HuangDepartment of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.ORCID https://orcid.org/0000-0002-5790-0099
Hongcheng LuDepartment of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Rongguiyi ZhangDepartment of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Qian FengDepartment of Emergency, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.ORCID https://orcid.org/0000-0002-1967-3796
Aoxiao HeDepartment of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China.ORCID https://orcid.org/0000-0003-1932-4411
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver hepatocellular carcinoma (LIHC) is a malignance with high incidence and recurrence. Pyroptosis is a programed cell death pattern which both activates the effective immune response and causes cell damage. However, their potential applications of pyroptosis-related genes (PRGs) in the prognostic evaluation and immunotherapy of LIHC are still rarely discussed.

methodsComprehensive bioinformatics analyses based on TCGA-LIHC dataset were performed in the current study.

resultsA total of 33 PRGs were selected to perform the current study. Of these 33 PRGs, 26 PRGs with upregulation or downregulation in LIHC tissues were identified. We also summarized the related genetic mutation variation landscape. GO and KEGG pathway analysis demonstrated that these 26 PRGs were primarily associated with pyroptosis, positive regulation of interleukin-1 beta production, and NOD-like receptor signaling pathway. An unfavorable OS appeared in LIHC patients with high CASP3, CASP4, CASP6, CASP8, GPX4, GSDMA, GSDME, NLRP3, NLRP7, NOD1, NOD2, PLCG1, and SCAF11 expression and low NLRP6 expression. A prognostic signature constructed by the above 14 prognostic PRGs had moderate to high accuracy to predict LIHC patients' prognosis. And risk score was correlated with the expression of CASP6, CASP8, GPX4, GSDMA, GSDME, NLRP6, and NOD2. Of these 7 genes, CASP8 was identified as the core gene in PPI network. Moreover, lncRNA MIR17HG/hsa-miRNA-130b-3p/CASP8 regulatory axis in LIHC was also detected.

conclusionsThe current study indicated the crucial role of PRGs in the prognostic evaluation of LIHC patients and their correlations with tumor microenvironment in LIHC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularComputational BiologyDatabases, GeneticGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksGenetic VariationHumansLiver NeoplasmsLymphocytes, Tumor-InfiltratingPrognosisProtein Interaction MapsPyroptosisRNA, MessengerBiomarkers, TumorRNA, Messenger

Identifiers

PMID35242200
PMCPMC8886769
OpenAlexW4213058756

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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.