Evidence map›Paper›PMID 36407083›Full record

ArticleGenetics research2022

Identification of Glucose Metabolism-Related Genes in the Progression from Nonalcoholic Fatty Liver Disease to Hepatocellular Carcinoma.

Siyuan Wang, Yiling Li, Ning Liu, Wei Shen, Wenhao Xu, Peng Yao

Open access · goldAbstract read
In one paragraph

Article in Genetics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Siyuan WangDepartment of Hepatobiliary Surgery, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.
Yiling LiDepartment of Anesthesiology, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.
Ning LiuDepartment of Hepatobiliary Surgery, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.
Wei ShenDepartment of Intensive Care Unit, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.
Wenhao XuDepartment of Intensive Care Unit, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.
Peng YaoDepartment of Intensive Care Unit, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan 432000, China.ORCID 0000-0001-5908-0672
The Central Hospital of Xiao gan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is a manifestation of hepatic metabolic syndrome that varies in severity. Hepatocellular carcinoma progresses from NAFLD when there is heterogeneity in the infiltration of immune cells and molecules. A precise molecular classification of NAFLD remains lacking, allowing further exploration of the link between NAFLD and hepatocellular carcinoma. In this work, a weighted gene coexpression network analysis was used to identify two coexpression modules based on multiple omics data used to differentiate NAFLD subtypes. Additionally, key genes in the process of glucose metabolism and NAFLD were used to construct a prognostic model in a cohort of patients with hepatocellular carcinoma. Furthermore, the specific expression of signature genes in hepatocellular carcinoma cells was analyzed using a single-cell RNA sequencing approach. A total of 19 liver tissues of NAFLD patients were obtained from the GEO database, and 81 glucose metabolism-related genes were downloaded from the CTD database. In addition, based on nine signature genes, we constructed a prognostic model to divide the HCC cohort into high and low-risk groups. We also demonstrated a significant correlation between prognostic models and clinical phenotypes. Furthermore, we integrated single-cell RNA-sequencing data and immunology data to assess potential relationships between different molecular subtypes and hepatocellular carcinoma. Finally, our study discovered that the glucose metabolism pathway may play an important role in the process of NAFLD-hepatocellular carcinoma. In addition, three glucose metabolism-related genes (SERPINE1, VCAN, and TFPI2) may be the potential targets for the immunotherapy of patients with NAFLD-hepatocellular carcinoma.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseGlucoseHumansGlucose

Identifiers

PMID36407083
PMCPMC9649330
OpenAlexW4308074360

What Socratic holds

Textmetadata
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 Socratic graph.