Evidence map›Paper›PMID 39325241›Full record

ArticleBiochemical genetics2025

Identification and Validation of Biomarkers to Predict Early Diagnosis of Inflammatory Bowel Disease and Its Progression to Colorectal Cancer.

Farhat Khan, Naaziyah Abdulla, Thea-Leonie du Plessis, Kay Karlsson, Peter Barrow, Brendan Bebington, Liang Gu, Mandeep Kaur

Abstract read
In one paragraph

Article in Biochemical genetics, 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. Review
  2. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  3. Article
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

8 authors.

Farhat KhanSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg, WITS-2050, South Africa.
Naaziyah AbdullaSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg, WITS-2050, South Africa.ORCID http://orcid.org/0000-0003-0328-8866
Thea-Leonie du PlessisSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg, WITS-2050, South Africa.ORCID http://orcid.org/0000-0001-7452-8439
Kay KarlssonWits Donald Gordon Medical Centre, Park Town, Johannesburg, 2193, South Africa.
Peter BarrowWits Donald Gordon Medical Centre, Park Town, Johannesburg, 2193, South Africa.
Brendan BebingtonWits Donald Gordon Medical Centre, Park Town, Johannesburg, 2193, South Africa.
Liang GuSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg, WITS-2050, South Africa.ORCID http://orcid.org/0000-0002-4766-0650
Mandeep KaurSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg, WITS-2050, South Africa. mandeep.kaur@wits.ac.za.ORCID http://orcid.org/0000-0002-9757-4048

Funding

National Research Foundation 129356National Research Foundation PDG210503598764National Research Foundation PMDS22062426893
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) has become a common global health problem as prevalence continues to rise. It is often associated with increased risk of colorectal cancer (CRC) development. Limitations in current IBD biomarker-based diagnosis hinder the accuracy of early detection of CRC progression. Therefore, in this study, we proposed the use of transcription factor (TF)-based biomarkers that can potentially detect the transition of IBD to CRC. Various bioinformatic analysis and online database validations, and RT-qPCR validations were performed to identify possible diagnostic TFs. RUNX1 was identified as a promising TF that regulates 106 IBD/CRC-related genes. The incorporation of RUNX1 in combination with currently known IBD biomarkers, FEV + NFKB1 + RELA, achieved a comparable sensitivity and specificity scores of 99% and 87%, respectively, while RUNX1 in combination with known CRC markers, CEA + TIMP1 + CA724 + CA199, achieved a sensitivity and specificity score of 97% and 99%, respectively. Furthermore, a small pilot RT-qPCR-based analysis confirmed a demarcated shift in expression profiles in CA724, CEA, RUNX1 and TIMP1 in IBD patients compared to CRC patients' tissue samples. Specifically, CA724 is noticeably elevated in IBD, while the levels of CEA, RUNX1 with TIMP1 are probable genes that may be employed in discerning IBD progression to CRC. Therefore, these preliminary results once validated in large patient cohorts could potentially have a significant impact on CRC disease stratification, resulting in a more precise prediction for treatment and treatment outcomes, especially in South African patients.

Indexed as

Biomarkers, TumorColorectal NeoplasmsInflammatory Bowel DiseasesAntigens, Tumor-Associated, CarbohydrateCore Binding Factor Alpha 2 SubunitDisease ProgressionEarly Detection of CancerFemaleHumansMaleTissue Inhibitor of Metalloproteinase-1Antigens, Tumor-Associated, CarbohydrateBiomarkers, Tumorcarbohydrate antigen 199, humanCore Binding Factor Alpha 2 SubunitRUNX1 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Colorectal cancerDiagnostic biomarkersInflammatory bowel diseaseIn silico and wet-lab validationPredictive markersTranscription factors

Identifiers

PMID39325241
PMCPMC12271286

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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.