Evidence map›Paper›PMID 34346836›Full record

ArticleBioengineered2021

Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways.

Zhou Zhu, Jian Qin, Chencheng Dong, Jin Yang, Maughan Yang, Jana Tian, Xiaogang Zhong

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  10. Metabolic heterogeneity in early-stage lung adenocarcinoma revealed by RNA-seq and scRNA-seq.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
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  14. Influence of the Microbiome Metagenomics and Epigenomics on Gastric Cancer.International journal of molecular sciences · 2022
    Review
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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 2 institutions in 2 countries.

Zhou ZhuDepartment of Gastrointestinal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jian QinDepartment of Radiation Oncology of Clinical Cancer Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Chencheng DongDepartment of Gastrointestinal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jin YangStrategic Operations Department, YuceBio Technology Co., Ltd, Guangzhou, China.
Maughan YangStrategy DevelopmentDepartment, Meta Health Sector of Yuanzhi Technology Group, Beijing, China.
Jana TianStrategy DevelopmentDepartment, Meta Health Sector of Yuanzhi Technology Group, Beijing, China.
Xiaogang ZhongDepartment of Gastrointestinal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.ORCID 0000-0002-8845-4626
The People's Hospital of Guangxi Zhuang Autonomous Region · CNMETA Group · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Warburg phenomenon refers to the development of unique metabolic patterns during the growth of tumor cells. This study stratified gastric cancer into prognostic metabolic subgroups according to changes in gene expressions related to glycolysis and cholesterol synthesis. The RNA-seq expression data, single nucleotide variants (SNV), short insertions and deletions (InDel) mutation data, copy number variation (CNV) data and clinical follow-up information data of gastric cancer tissues were downloaded from The Cancer Genome Atlas (TCGA) database. ConsensusClusterPlus was used to stratify the metabolic subtypes of gastric cancer. Four metabolic subtypes (Cholesterogenic, Glycolytic, Mixed and Quiescent) of gastric cancer were identified, and patients with cholesterogenic tumors had the longest disease-specific survival (DSS). Genome-wide analysis showed that aberrant amplification of TP53 and MYC in gastric cancer was associated with abnormal cholesterol anabolic metabolism. The mRNA levels of mitochondrial pyruvate carriers 1 and 2 (MPC1/2) differed among the four subtypes. Tumors in the glycolytic group showed a higher PDCD1. A genomic signature based on tumor metabolism of different cancer types was established. This study showed that genes related to glucose and lipid metabolism play an important role in gastric cancer and facilitate a personalized treatment of gastric cancer.

Indexed as

Biomarkers, TumorCholesterolStomach NeoplasmsComputational BiologyGene Expression Regulation, NeoplasticGlycolysisHumansTranscriptomeBiomarkers, TumorCholesterolbioinformaticscholesterolGastric cancerglycolysismetabolismsubtype

Identifiers

PMID34346836
PMCPMC8806458
OpenAlexW3189914111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.