Evidence map›Paper›PMID 39815014›Full record

SynthesisImmunologic research2025

Association between TLR 2 (rs3804099), TLR4 (rs4986790), and TLR 9 (rs187084) polymorphism and leukemia risk: a systematic review and meta-analysis.

Rupesh Kumar, Anindita Dutta, Mayur Mausoom Phukan

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Immunologic research, 2025. 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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0citing papers in PubMed
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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

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

3 authors.

Rupesh KumarDepartment of Biotechnology, The Assam Royal Global University, Guwahati, -781028, Assam, India. rupesh.mbbt08@gmail.com.ORCID http://orcid.org/0000-0002-7337-3356
Anindita DuttaDepartment of Medical Laboratory Technology, The Assam Royal Global University, Guwahati, 781035, Assam, India.
Mayur Mausoom PhukanDepartment of Forestry, Nagaland University (Central), Lumami, -798627, Nagaland, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are crucial components of innate immunity. A specific form of genetic variation in TLR genes may increase the chance of developing leukemia. The present investigation conducted a comprehensive meta-analysis to examine the correlation between three TLR polymorphisms, namely TLR2 (rs3804099), TLR4 (rs4986790), and TLR9 (rs187084), within the leukemia risk group. An in-depth literature search was performed using Web of Science, PubMed, and Google Scholar to identify noteworthy research published in these scientific databases from 2012 to 2024. Research articles were evaluated according to rigorous inclusion criteria, and data was compiled for meta-analysis using Microsoft Excel (Ver. 2013), MedCalc (Ver. 19.3), and RevMan software (Ver. 5.3). Finally, 11 qualified studies were selected for the ongoing investigation, encompassing a combined total of 1315 leukemia cases and 1340 controls. Using a dominant genotype model, the meta-analysis found that the TLR2 (rs3804099) and TLR9 (rs187084) polymorphisms were strongly linked to higher risk of leukemia, with ORs of 2.042 (95% CI: 1.35-3.08, p = 0.001) and 1.38 (95% CI: 1.14-1.67, p = 0.001) respectively. Notably, the TLR4 (rs4986790) polymorphism did not exhibited any substantial correlation with the incidence of leukemia. The results indicate that variations in TLR2 and TLR9 genes could be considered a novel genetic biomarker for the leukemia development, highlighting their potential use in risk assessment and targeted therapies. This emphasizes the possibility of using these variations in evaluating risk and developing targeted remedies. However, greater research capacities are required to research into the fundamental mechanisms and authenticate these trends in other populations.

Indexed as

Genetic Predisposition to DiseaseLeukemiaToll-Like Receptor 2Toll-Like Receptor 4Toll-Like Receptor 9Genetic Association StudiesGenotypeHumansPolymorphism, Single NucleotideRisk FactorsTLR2 protein, humanTLR4 protein, humanTLR9 protein, humanToll-Like Receptor 2Toll-Like Receptor 4Toll-Like Receptor 9LeukemiaMeta-analysisPolymorphismsRisk factorsTLR2TLR4TLR9Toll-like receptors

Identifiers

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.