Evidence map›Paper›PMID 36097121›Full record

ArticleMolecular biology reports2022

The association between several autophagy-related genes and their prognostic values in hepatocellular carcinoma: a study on the foundation of TCGA, GEPIA and HPA databases.

Xueying Zhao, Shangqi Yin, Jingren Shi, Mei Zheng, Chaonan He, Huan Meng, Ying Han, Jin Chen, Jinyu Han, Zhengrong Yuan and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Progress on multifunctional transmembrane protein ATG9A.Cell communication and signaling : CCS · 2025
    Review
  3. A BPTF-specific PROTAC degrader enhances NK cell-based cancer immunotherapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Xueying ZhaoCollege of Biological Sciences and Biotechnology, Beijing Forestry University, 100083, Beijing, China.
Shangqi YinDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Jingren ShiDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Mei ZhengDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Chaonan HeDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Huan MengDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Ying HanDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Jin ChenDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Jinyu HanDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China.
Zhengrong YuanCollege of Biological Sciences and Biotechnology, Beijing Forestry University, 100083, Beijing, China. zryuan@bjfu.edu.cn.ORCID http://orcid.org/0000-0002-5175-0675
Yajie WangDepartment of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, 100015, Beijing, China. wangyajie@ccmu.edu.cn.
Capital Medical University · CNBeijing Forestry University · CN

Funding

Wu Jieping Medical Foundation Grant NO. 320.6750.19089-103Wu Jieping Medical Foundation Grant NO. 320.6750.19089-75
6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the relationship between the expression of autophagy-related genes and prognosis in hepatocellular carcinoma (HCC). METHODS AND

resultsWe selected three autophagy-related genes (ATG3, ATG7, and ATG9A) from gene expression data of liver cancer patients in The Cancer Genome Atlas (TCGA) database by Kaplan-Meier survival analysis, univariate and multivariate Cox regression analysis, and Gene Set Enrichment Analysis (GSEA). Human Protein Atlas (HPA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases were applied to testify the credibility of our results. The expression levels of ATG3, ATG7, and ATG9A were verified by real-time quantitative PCR (RT-qPCR) in normal liver cells (L02) and three HCC cell lines (HepG2, Hep3b, and Li-7). Data analysis results from TCGA showed high ATG3, ATG7, ATG9A expression in HCC tumor tissues. Kaplan-Meier survival analysis showed that the survival rate of the high expression group of ATG3, ATG7, and ATG9A was all significantly lower than the low expression group. GSEA analysis showed that many signaling pathways (such as the regulation of autophagy, glycine serine and threonine metabolism, pathways in cancer, mitogen-activated protein kinase (MAPK) signaling pathway, mammalian target of rapamycin (mTOR) signaling pathway, as well as P53 signaling pathway) were differentially enriched in HCCs with ATG3, ATG7, and ATG9A expression. GEPIA and RT-qPCR also identified that the mRNA expression level of ATG3, ATG7, and ATG9A in normal liver cells were significantly lower than in HCC cells. High protein expression of ATG3, ATG7, and ATG9A was displayed in HCCs from the HPA database.

conclusionsThe ATG3, ATG7, ATG9A might be utilized as prognostic biomarkers for liver cancer.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAutophagyBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorATG3ATG7ATG9AHepatocellular carcinomaPrognosisTCGA

Identifiers

PMID36097121
OpenAlexW4295422380

What OpenQuestion holds

Textmetadata
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.