Evidence map›Paper›PMID 42137131›Full record

ArticleGastroenterology and hepatology from bed to bench2025

Integrative systems biology identifies

Amir Ali Judaki, Mehran Aghemiri, Zahra Yousefli, Sajjad Tavakkoli, Amir Taherkhani, Elham Nazari, Afsaneh Arefi-Oskouie

Abstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amir Ali JudakiProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehran AghemiriDepartment of Medical Informatics, Medical Science faculty, Tarbiat Modares University, Tehran, Iran.
Zahra YousefliMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sajjad TavakkoliGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amir TaherkhaniResearch Center for Molecular Medicine, Hamedan University of Medical Sciences, Hamedan, Iran.
Elham NazariProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Afsaneh Arefi-OskouieFaculty of Paramedical Sciences, Department of Basic Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To identify prognostic biomarkers in colorectal cancer (CRC) using an integrative systems biology approach combining transcriptomics, network topology, and immune profiling. Background: Advanced CRC prognosis remains poor due to a lack of biomarkers capturing tumor-immune interactions. Current single-gene markers often overlook the network-based nature of tumorigenesis. Methods: We analyzed TCGA-COAD data (n = 463 tumor, n = 85 normal) using GEPIA3 with thresholds of |log_2FC| > 2 and adjusted p. value < 0.05. Protein-protein and gene-gene interaction networks were constructed via STRING (confidence > 0.4) and GeneMANIA. Hub genes were prioritized by intersecting degree and betweenness centrality using Cytoscape. Prognosis was assessed using cSurvival (Kaplan-Meier) and immune correlations via TISDB. Protein expression was verified in the Human Protein Atlas and external validation was performed to justify accuracy of candidate biomarkers. Results: Analysis revealed 992 DEGs (498 up-regulated and 494 down-regulated) enriched in extracellular matrix organization and innate immune pathways. Eight dual hub genes were identified; Conclusion:

Indexed as

Colorectal cancerPRELPPrognosisSystems biologyTAGLNTumor microenvironment

Identifiers

PMID42137131
PMCPMC13081424

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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.