Objective: To examine the roles of specific genetic polymorphisms as predictors of response to treatment of early rheumatoid arthritis (RA).

Methods: Subjects included 457 patients with early RA (duration of < or =3 years) who participated in a randomized controlled trial comparing weekly methotrexate and 2 dosages of etanercept (10 mg twice weekly and 25 mg twice weekly). Our primary outcome measure was achievement of 50% improvement in disease activity according to the criteria of the American College of Rheumatology (ACR50 response) after 12 months of treatment. Subjects were genotyped for HLA-DRB1 alleles and polymorphisms in the following genes: TNF, LTA, TNFRSF1A, TNFRSF1B, FCGR2A, FCGR3A, and FCGR3B. Univariate and multivariate analyses were performed to define the impact of specific polymorphisms and haplotypes on response to treatment. Covariates for the multivariate analyses included sex, ethnicity, age, disease duration, and baseline values for rheumatoid factor and the tender and swollen joint counts.

Results: The presence of 2 HLA-DRB1 alleles encoding the shared epitope (SE) (compared with 1 or 0 copies) was associated with response to treatment with standard-dose etanercept (odds ratio [OR] 4.3, 95% confidence interval [95% CI] 1.8-10.3). Among Caucasian patients, 2 extended haplotypes that included the HLA-DRB1 alleles *0404 and *0101 (both of which encode the SE) and 6 single-nucleotide polymorphisms in the LTA-TNF region were associated with response to treatment. In a multivariate model that included treatment received and the aforementioned covariates, the ORs for the association of these haplotypes with achievement of an ACR50 response at 12 months were 2.5 (95% CI 0.8-7.3) and 4.9 (95% CI 1.5-16.1) for the *0404- and *0101-containing haplotypes, respectively.

Conclusion: Genetic variation in the HLA-DRB1 and the LTA-TNF regions is significantly associated with response to treatment of early RA. These findings may have clinical application through the identification of patients who are most likely to benefit from treatment with methotrexate or etanercept.

Download full-text PDF

Source
http://dx.doi.org/10.1002/art.20469DOI Listing

Publication Analysis

Top Keywords

response treatment
24
treatment early
12
hla-drb1 alleles
12
associated response
12
treatment
9
genetic variation
8
variation hla-drb1
8
hla-drb1 lta-tnf
8
lta-tnf regions
8
response
8

Similar Publications

DCLRE1B as a novel prognostic biomarker associated with immune infiltration: a pancancer analysis.

Sci Rep

December 2024

Department of Orthopedics, The Second Affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi Province, China.

The DNA cross-link repair 1B (DCLRE1B) gene is involved in repairing cross-links between DNA strands, including those associated with Hoyeraal-Hreidarsson syndrome and congenital dyskeratosis. However, its role in tumours is not well understood. DCLRE1B expression profiles were examined in tumour tissues and normal tissues using TCGA, GTEx, and TARGET datasets.

View Article and Find Full Text PDF

Climate change has caused many challenges to soil ecosystems, including soil salinity. Consequently, many strategies are advised to mitigate this issue. In this context, biochar is acknowledged as a useful addition that can alleviate the detrimental impacts of salt stress on plants.

View Article and Find Full Text PDF

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

View Article and Find Full Text PDF

Cuproptosis, a newly identified form of cell death, has drawn increasing attention for its association with various cancers, though its specific role in colorectal cancer (CRC) remains unclear. In this study, transcriptomic and clinical data from CRC patients available in the TCGA database were analyzed to investigate the impact of cuproptosis. Differentially expressed genes linked to cuproptosis were identified using Weighted Gene Co-Expression Network Analysis (WGCNA).

View Article and Find Full Text PDF

Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!