Evidence map›Paper›PMID 35123387›Full record

ArticleMolecular medicine (Cambridge, Mass.)2022

The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma.

Min Deng, Shiquan Sun, Rongce Zhao, Renguo Guan, Zhen Zhang, Shaohua Li, Wei Wei, Rongping Guo

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 90 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Min Deng *Department of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
Shiquan Sun *Department of Dermatovenereology, The Seventh Affiliated Hospital, Sun Yat-sen University, 518000, Shenzhen, China.
Rongce ZhaoDepartment of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
Renguo GuanDepartment of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
Zhen ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Shaohua LiDepartment of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
Wei WeiDepartment of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
Rongping GuoDepartment of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China. guorp@sysucc.org.cn.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

Medical Innovation Project of the First Affiliated Hospital of Guangzhou University of Chinese Medicine 2019IIT18National Natural Science Foundation of China 81871985National Natural Science Foundation of China 82172579Natural Science Foundation of Guangdong Province 2018A0303130098Science and Technology Planning Project of Guangdong Province 2017A020215112Science and Technology Planning Project of Guangzhou 201903010017Science and Technology Planning Project of Guangzhou 201904010479
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs) in HCC and their relationship with prognosis are still unclear.

methodsOur study identified 35 PRGs through bioinformatics analysis that were differentially expressed between tumor samples and nontumor samples. According to these differentially expressed genes, HCC patients could be divided into two groups, cluster 1 and cluster 2. The least absolute shrinkage and selection operator (LASSO) Cox regression method was performed to construct a 10-gene signature that classified HCC patients in the cancer genome atlas (TCGA) database into low-risk and high-risk groups.

resultsThe results showed that the survival rate of HCC patients in the low-risk group was significantly higher than that in the high-risk group (p < 0.001). The validation cohort, the Gene Expression Omnibus (GEO) cohort, was divided into two risk groups based on the median risk score calculated by the TCGA cohort. The overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (p = 0.007). Univariate and multivariate Cox regression analyses revealed that the risk score was an independent factor in predicting OS in HCC patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that immune-related high-risk groups were rich in genes and had reduced immune status.

conclusionsPRGs play a significant role in tumor immunity and have the potential capability to predict the prognosis of HCC patients.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunityKaplan-Meier EstimateLiver NeoplasmsNomogramsPrognosisProportional Hazards ModelsPyroptosisROC CurveBiomarkers, TumorHepatocellular carcinomaImmunityNomogramPrognosisPyroptosis

Identifiers

PMID35123387
PMCPMC8818170
OpenAlexW4210530293

What OpenQuestion holds

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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.