Evidence map›Paper›PMID 38850836›Full record

ArticleNeoplasia (New York, N.Y.)2024

Unveiling the role of AGT in lipid metabolism and regulated cell death in colon cancer.

Mengdi Wu, Yuyang Zhou, Dongsheng Pei, Shoucui Gao

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Mengdi WuDepartment of Pathology, Xuzhou Medical University, Xuzhou 221004, PR China.
Yuyang ZhouDepartment of Laboratory Medicine, Siyang Hospital 223700, PR China.
Dongsheng PeiDepartment of Pathology, Xuzhou Medical University, Xuzhou 221004, PR China. Electronic address: dspei@xzhmu.edu.cn.
Shoucui GaoDepartment of Pathology, Xuzhou Medical University, Xuzhou 221004, PR China. Electronic address: gaoshoucui@xzhmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipid metabolism and regulated cell death (RCD) play a role in the remodeling of tumor immune microenvironment and regulation of cancer progression. Since the underlying immune mechanisms of colon cancer remain elusive, this study aims to identify potential therapeutic target genes.

methodsDifferential genes related to lipid metabolism and RCD in COAD patients were identified using R language and online tools. Based on the expression of genes, two groups were classified using consensus clustering. CIBERSORT and ssGSEA were used to detect immune infiltration in both groups. Prognostic signature genes for colon cancer were screened using machine learning algorithms. KEGG, GO and GSEA for gene pathway enrichment. In addition, interacting genes in the immune module were obtained using a weighted gene co-expression network (WGCNA). Finally, expression and mutation of key in colon cancer genes were detected using TIMER, HPR, cBioPortal website and qPCR.

resultsThe consensus clustering analysis revealed that 231 relevant differential genes were highly associated with immune infiltration. A series of machine learning and website analyses identified AGT as a hub gene linked to lipid metabolism and regulated cell death, which is overexpressed in colon cancer.

conclusionAGT, as a signature gene of lipid metabolism and regulated cell death, plays a critical role in the development of COAD and is associated with tumor immune infiltration.

Indexed as

Colonic NeoplasmsGene Expression Regulation, NeoplasticLipid MetabolismTumor MicroenvironmentBiomarkers, TumorCell DeathComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansPrognosisTranscriptomeBiomarkers, TumorAGTLipid metabolismRegulated cell deathTumor microenvironment

Identifiers

PMID38850836
PMCPMC11214316

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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.