Evidence map›Paper›PMID 41185511›Full record

ArticleAnti-cancer agents in medicinal chemistry2026

ALG3 as a PanCancer Oncogene: Bioinformatics Analysis and Identification of Small-Molecule Inhibitors.

Hesham M Hassan, Waleed K Abdulsahib, Hassan M Otifi, Mohammed A Alshehri, Mohamed O Andarawi, Khaled M Darwish, Sameh S Elhady, Dalal Sulaiman Alshaya, Hanadi A Katouah, Aiysha Althobaiti and 2 more

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Article in Anti-cancer agents in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hesham M HassanDepartment of Pathology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Waleed K AbdulsahibPharmacology and Toxicology Department, College of Pharmacy, Al Farahidi University, Baghdad 00965, Iraq.
Hassan M OtifiDepartment of Pathology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Mohammed A AlshehriDepartment of Child Health, College of Medicine, King Khalid University, Abha P.O. Box 62529, Saudi Arabia.
Mohamed O AndarawiDepartment of Pathology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Khaled M DarwishDepartment of Medicinal Chemistry, Faculty of Pharmacy, Galala University, New Galala 43713, Egypt.
Sameh S ElhadyDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Dalal Sulaiman AlshayaDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Hanadi A KatouahChemistry Department, College of Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Aiysha AlthobaitiDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, P.O.Box 10219, Riyadh, 11433, Saudi Arabia.
Eman FayadDepartment of Biotechnology, College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Muhammad Alaa EldeenCell Biology, Histology & Genetics Division, Zoology Department, Faculty of Science, Zagazig University, Zagazig, Egypt.

Funding

Deanship of Research and Graduate Studies at King Khalid University RGP2/373/46Deanship of Scientific Research at Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia PNURSP2025R465
6 · The paper itself

Abstract

introductionGlycosylation plays a crucial role in cellular processes such as recognition and signaling, and its dysregulation is associated with tumor progression. Alpha-1,3-mannosyltransferase (ALG3) is a key enzyme in N-glycosylation, and its aberrant expression has been implicated in various malignancies. However, the mechanisms underlying ALG3-driven oncogenesis and the identification of potential ALG3 inhibitors remain largely unexplored. This study aims to comprehensively investigate the oncogenic role of ALG3 across different cancer types and identify potential inhibitors through bioinformatics analysis and molecular dockingcoupled dynamics simulations.

methodsMultiple cancer-related databases were analyzed to elucidate the oncogenic role of ALG and to assess its expression patterns, genetic alterations, and epigenetic regulation. Furthermore, molecular docking and dynamics simulations were employed to identify small-molecule inhibitors targeting the human ALG3.

resultsOur findings demonstrated a significant upregulation of ALG3 at both transcript and protein levels in cancerous tissues compared to normal ones. High ALG3 expression correlated positively with tumor stage, grade, and metastasis while negatively influencing patient survival. Genetic analysis revealed that amplification was the most common alteration in ALG3, whereas DNA methylation played a key role in its upregulation. Molecular docking and dynamics simulation identified two mannosyltransferase inhibitors, Opn and Clo, as potential inhibitors of ALG3, suggesting their therapeutic potential. DISCUSSION: This study highlights the oncogenic role of ALG3 in a pan-cancer model and identifies its potential inhibitors. Our findings provide valuable insights into ALG3-driven tumorigenesis and suggest that targeting ALG3 could be a promising strategy for cancer therapy.

conclusionThe study first reported potential inhibitors of human ALG3 based on a molecular modelling approach. This opens the way for future experimental investigations of the testing of these lead compounds in ALG3-high cancer models.

Indexed as

Antineoplastic AgentsComputational BiologyEnzyme InhibitorsMannosyltransferasesSmall Molecule LibrariesCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansMolecular Docking SimulationMolecular StructureStructure-Activity RelationshipAntineoplastic AgentsEnzyme InhibitorsMannosyltransferasesSmall Molecule LibrariesALG3anti-cancerglycosylationmannosyltransferase inhibitorsmolecular dynamicsoncogenic rolepan-cancer

Identifiers

PMID41185511

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.