Evidence map›Paper›PMID 34746309›Full record

ArticleBioMed research international2021

Development and Validation of an Autophagy-Related Gene Signature for Predicting the Prognosis of Hepatocellular Carcinoma.

Jianlin Zhang, Min Zhang, Jin Huang, Gaosong Zhang, Chong Li, Xingyu Wang, Weihao Kong

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 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

7 authors at 3 institutions in 1 country.

Jianlin ZhangDepartment of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-7812-9961
Min ZhangDepartment of Anesthesiology, Jiulongpo People's Hospital, Chongqing, China.ORCID https://orcid.org/0000-0002-6846-2653
Jin HuangDepartment of Pathology, The Second People's Hospital of Hefei, Hefei, Anhui, China.ORCID https://orcid.org/0000-0002-9651-609X
Gaosong ZhangDepartment of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-5632-3579
Chong LiDepartment of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0003-2380-9913
Xingyu WangDepartment of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0003-1724-9892
Weihao KongDepartment of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0002-0047-9811
Anhui Medical University · CNChongqing Jiulongpo People's Hospital · CNThird People's Hospital of Hefei · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutophagy is a lysosomal degradation pathway that is essential for maintaining the homeostasis of the intracellular environment. Mounting evidence indicates that autophagy plays an essential role in the occurrence and development of hepatocellular cancer (HCC). This research is aimed at exploring the prognostic value of autophagy-related genes (ARGs) in HCC patients.

methodsThe Wilcoxon test was used to identify differentially expressed ARGs in The Cancer Genome Atlas (TCGA) HCC cohort. Then, the TCGA cohort was randomly divided into training and testing groups. Cox and LASSO regression models were used to screen for autophagy-related genes that affect overall survival (OS) in the TCGA training group. Based on the coefficient of risk genes, we constructed an autophagy-related gene signature for predicting the prognosis of HCC patients. Finally, we validated the prognostic significance of autophagy-related gene signature using the TCGA testing group and three external datasets.

resultsATG10, BIRC5, GAPDH, and TMEM74 are risk genes for OS. According to the optimal cutoff value of risk score in each HCC dataset, HCC patients can divide into high- and low-risk groups. ARG risk score can significantly distinguish HCC patients with different survival outcomes. Meanwhile, the ARG risk score is independently correlated with OS in multiple HCC cohorts.

conclusionsThe autophagy-related risk score can effectively screen high-risk HCC patients and provide guidance for clinical prevention and treatment of HCC.

Indexed as

AutophagyAutophagy-Related ProteinsBiomarkers, TumorCarcinoma, HepatocellularDatabases, GeneticGene ExpressionGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansKaplan-Meier EstimateLiver NeoplasmsMembrane ProteinsPrognosisRisk FactorsSurvivinTranscriptomeVesicular Transport ProteinsATG10 protein, humanAutophagy-Related ProteinsBiomarkers, TumorBIRC5 protein, humanGAPDH protein, humanGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)Membrane ProteinsSurvivinTMEM74 protein, humanVesicular Transport Proteins

Identifiers

PMID34746309
PMCPMC8568514
OpenAlexW3210282726

What OpenQuestion holds

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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.