Evidence map›Paper›PMID 39911529›Full record

ArticleBiochemistry and biophysics reports2025

Identifying Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma (PAAD): A comprehensive in silico study.

Elham Karimi, Niloufar Sadat Kalaki, Seyed Mohammad Akrami

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Elham KarimiDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Niloufar Sadat KalakiDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
Seyed Mohammad AkramiDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the most aggressive tumors is pancreatic ductal adenocarcinoma (PAAD), which is usually discovered at an advanced stage and is linked to a poor response to current treatment options and a significant risk of metastasis. Methods: The Gene Expression Omnibus (GEO) database selected GSE15471, GSE28735, GSE62165, and GSE16515. Differentially expressed genes (DEGs) were defined as having a logFC of >1 and ≤ -1 and an adjusted p-value of less than 0.05. Differentially expressed genes (DEGs) from the four datasets were identified using the GEO2R tool. KEGG and GO databases were used to identify related pathways. PPIs were analyzed using Cytoscape and Gephi. A GEPIA analysis confirmed the target genes. Results: The analysis of protein-protein interactions (PPI) along with data from the Gene Expression Omnibus (GEO) led to the identification of 66 hub genes and 819 common differentially expressed genes (DEGs). GO and KEGG pathway analyses indicated that these DEGs are significantly associated with functions related to cell adhesion, extracellular exosomes, structural components of the extracellular matrix, and the cytoskeleton in muscle cells. The expression levels of 8 genes-FN1, CXCR4, MMP9, PXDN, CBS, ALB, GPT2, and EGF-demonstrated a notable difference between normal and tumor samples, as identified through GEPIA analysis. Conclusion: The hub genes and related pathways that are connected to the development of PAAD were found in this study. These genes could serve as promising diagnostic biomarkers, offering a valuable chance to detect PAAD in its initial stages, leading to more effective treatment options.

Indexed as

Diagnostic biomarkersPAADPancreatic cancerPPI network

Identifiers

PMID39911529
PMCPMC11794163

What Socratic holds

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Registered trials

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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 Socratic graph.