Evidence map›Paper›PMID 40048143›Full record

ArticleGenes & genomics2025

Analysing glycolysis-related genes reveals the prognostic and diagnostic relevance of IER3 and AGRN in colorectal cancer.

Samaneh Dalali, Fatemeh Kaviani, Mohammad Mahdevar, Andisheh Oroujalian, Maryam Peymani

Abstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2025. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Samaneh DalaliDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Fatemeh KavianiDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Mohammad MahdevarGenius Gene, Genetics and Biotechnology Company, Isfahan, Iran.
Andisheh OroujalianDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Maryam PeymaniDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran. peymani.iaushk@gmial.com.ORCID 0000-0001-5075-5661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is a significant global health issue, with early detection being critical to improving patient survival. Dysregulation of the glycolysis pathway plays a pivotal role in CRC progression, but specific gene-level mechanisms remain underexplored.

objectiveThis study aimed to investigate the role of glycolysis-related genes in CRC development and identify potential diagnostic and prognostic biomarkers.

methodsWe utilized The Cancer Genome Atlas (TCGA) dataset to perform differential expression analysis of glycolysis-related genes in CRC. Protein-protein interaction (PPI) network analysis was conducted to identify central hub genes. The diagnostic potential of selected genes was evaluated using ROC curve analysis, while their expression levels were validated through RT-qPCR.

resultsIER3 and AGRN were identified as significantly upregulated genes associated with reduced survival rates in CRC patients. PPI analysis revealed their roles as central hub genes within the glycolysis pathway. ROC curve analysis demonstrated their ability to distinguish CRC patients from healthy individuals. Validation through RT-qPCR confirmed their significant overexpression in CRC samples, highlighting their involvement in disease progression.

conclusionIER3 and AGRN are critical components of the glycolysis pathway, driving CRC development and progression while also showing potential as biomarkers for predicting outcomes, diagnosing CRC, and serving as treatment targets.

Indexed as

Apoptosis Regulatory ProteinsColorectal NeoplasmsGlycolysisMembrane ProteinsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisProtein Interaction MapsApoptosis Regulatory ProteinsBiomarkers, TumorMembrane ProteinsBiomarkersColorectal cancerGene expressionHub genesSurvival rate

Identifiers

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.