Ranganathan Prabha
Washington University School of Medicine, Division of Rheumatology, 660 S. Euclid Avenue, Campus Box 8045, St. Louis, Missouri 63110, USA. prangana@ im.wustl.edu
Pharmacogenomics. 2005 Jul;6(5):481-90. doi: 10.2217/14622416.6.5.481.
Tumor necrosis factor (TNF)-alpha plays a central role in the pathogenesis of rheumatoid arthritis (RA) and is instrumental in causing joint destruction, the clinical hallmark of the disease. Recognizing this, in recent years biological therapies have been developed that work by blocking the damaging effects of TNF-alpha on synovium and cartilage. Three such agents are currently approved for treatment in RA - etanercept, infliximab and adalimumab. Although these agents are very effective in slowing the clinical and structural progression in RA, they are expensive, totaling several thousand dollars in yearly costs. Furthermore, only about 60% of patients respond effectively to these agents. As RA is a chronic disease, with most patients expected to remain on these therapies for life, ways to prospectively identify patients most likely to benefit from these agents are being explored. Pharmacogenomic approaches form the basis of most such screening methods. Polymorphisms in genes encoding TNF-alpha, TNF-alpha receptors, other cytokines, and the major histocompatibility complex region, and their ability to predict response to anti-TNF therapies, have been the focus of many recent studies. The results from such studies are mixed, with some suggesting that single nucleotide polymorphisms (SNPs) in these genes are significant, while others conclude that such SNPs are irrelevant in predicting response. Such conflicting results are likely to be due to a variety of factors, as discussed in this article. Whether pharmacogenomics will allow prediction of anti-TNF therapy efficacy in RA remains a question with no clear answers to date. Large, prospective, multicenter studies with the examination of not just individual SNPs, but also multi-SNP haplotypes, are needed to address this question in the future.
肿瘤坏死因子(TNF)-α在类风湿关节炎(RA)的发病机制中起核心作用,并且在导致关节破坏(该疾病的临床标志)方面起重要作用。认识到这一点后,近年来已开发出通过阻断TNF-α对滑膜和软骨的破坏作用而起作用的生物疗法。目前有三种此类药物被批准用于治疗RA——依那西普、英夫利昔单抗和阿达木单抗。尽管这些药物在减缓RA的临床和结构进展方面非常有效,但它们价格昂贵,每年的费用总计达数千美元。此外,只有约60%的患者对这些药物有有效反应。由于RA是一种慢性病,大多数患者预计将终生接受这些治疗,因此正在探索前瞻性识别最可能从这些药物中获益的患者的方法。药物基因组学方法构成了大多数此类筛查方法的基础。编码TNF-α、TNF-α受体、其他细胞因子以及主要组织相容性复合体区域的基因中的多态性,以及它们预测对抗TNF治疗反应的能力,一直是最近许多研究的重点。这些研究的结果不一,一些研究表明这些基因中的单核苷酸多态性(SNP)具有重要意义,而另一些研究则得出结论认为此类SNP在预测反应方面无关紧要。如本文所讨论的,这种相互矛盾的结果可能是由于多种因素造成的。药物基因组学是否能够预测RA中抗TNF治疗的疗效至今仍是一个没有明确答案的问题。未来需要进行大型、前瞻性、多中心研究,不仅要检查单个SNP,还要检查多SNP单倍型来解决这个问题。