Association of <i>PTPRC</i> gene polymorphisms with TNF inhibitor efficacy in rheumatoid arthritis: a systematic review and meta-analysis

Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease characterized by joint destruction and functional impairment. Tumor Necrosis Factor inhibitors (TNFi) are widely used biologic therapies for RA; however, patient outcomes show significant individual variation. Genetic factors, including polymorphisms in the PTPRC gene, have been investigated as potential predictors of TNFi efficacy, but results remain inconsistent. Methods: We conducted a systematic review and meta-analysis following PRISMA guidelines to evaluate the association between PTPRC polymorphisms and TNFi treatment response in RA patients. A comprehensive search was performed in PubMed and Scopus databases up to April 2025. Studies were screened and quality assessed using the Q-Genie tool. Meta-analyses employed Mantel-Haenszel methods with fixed and random effects models. Results: Five studies met eligibility criteria, including data from 12 European cohorts totaling 1,543 RA patients. The main polymorphism assessed was rs10919563. Meta-analysis revealed the rs10919563 A allele was significantly associated with increased odds of non-response to TNFi (allelic model OR: 1.94; 95%CI: 1.31-2.88). The recessive models supported these findings, and no publication bias was detected. Conclusions: Our results consolidate evidence supporting the PTPRC rs10919563 polymorphism as a potential predictive genetic biomarker for TNFi efficacy in RA, which could be integrated into personalized treatment strategies. Further studies are required to validate clinical utility across diverse populations.

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Publication Details

Journal
Journal of Translational Genetics and Genomics
Published
2025-09-30
DOI
https://doi.org/10.20517/jtgg.2025.70
Citations
1
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
1.67
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article

Association of PTPRC gene polymorphisms with TNF inhibitor efficacy in rheumatoid arthritis: a systematic review and meta-analysis

João Locke Ferreira de Araújo, Soraia Azevedo, Ryan Costa Silva, Ingrid Marins de Almeida et al.
1 citations
Journal of Translational Genetics and Genomics
Rheumatoid Arthritis Research and Therapies
1.67
article

Association of PTPRC gene polymorphisms with TNF inhibitor efficacy in rheumatoid arthritis: a systematic review and meta-analysis

João Locke Ferreira de Araújo, Soraia Azevedo, Ryan Costa Silva, Ingrid Marins de Almeida, Lilian de Sá Garcia Landeiro
article en
1 citations

Abstract

Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease characterized by joint destruction and functional impairment. Tumor Necrosis Factor inhibitors (TNFi) are widely used biologic therapies for RA; however, patient outcomes show significant individual variation. Genetic factors, including polymorphisms in the PTPRC gene, have been investigated as potential predictors of TNFi efficacy, but results remain inconsistent. Methods: We conducted a systematic review and meta-analysis following PRISMA guidelines to evaluate the association between PTPRC polymorphisms and TNFi treatment response in RA patients. A comprehensive search was performed in PubMed and Scopus databases up to April 2025. Studies were screened and quality assessed using the Q-Genie tool. Meta-analyses employed Mantel-Haenszel methods with fixed and random effects models. Results: Five studies met eligibility criteria, including data from 12 European cohorts totaling 1,543 RA patients. The main polymorphism assessed was rs10919563. Meta-analysis revealed the rs10919563 A allele was significantly associated with increased odds of non-response to TNFi (allelic model OR: 1.94; 95%CI: 1.31-2.88). The recessive models supported these findings, and no publication bias was detected. Conclusions: Our results consolidate evidence supporting the PTPRC rs10919563 polymorphism as a potential predictive genetic biomarker for TNFi efficacy in RA, which could be integrated into personalized treatment strategies. Further studies are required to validate clinical utility across diverse populations.

Journal of Translational Genetics and GenomicsVol. 9(4)
Openalex Percentile: Top 13%
Rheumatoid Arthritis Research and Therapies
1.67
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Association of <i>PTPRC</i> gene polymorphisms with TNF inhibitor efficacy in rheumatoid arthritis: a systematic review and meta-analysis — João Locke Ferreira de Araújo, Soraia Azevedo, et al. · Journal of Translational Genetics and Genomics (2025) | TGRS Research Map | TGRS