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染色质构象特征可作为预测早期类风湿关节炎患者对甲氨蝶呤治疗反应不足的标志物。

Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis.

机构信息

Pfizer Inc., Cambridge, USA.

Department of Asthma, Allergy & Lung Biology, GSTT Campus, King's College School of Medicine, London, UK.

出版信息

J Transl Med. 2018 Jan 29;16(1):18. doi: 10.1186/s12967-018-1387-9.

DOI:10.1186/s12967-018-1387-9
PMID:29378619
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5789697/
Abstract

BACKGROUND

There is a pressing need in rheumatoid arthritis (RA) to identify patients who will not respond to first-line disease-modifying anti-rheumatic drugs (DMARD). We explored whether differences in genomic architecture represented by a chromosome conformation signature (CCS) in blood taken from early RA patients before methotrexate (MTX) treatment could assist in identifying non-response to DMARD and, whether there is an association between such a signature and RA specific expression quantitative trait loci (eQTL).

METHODS

We looked for the presence of a CCS in blood from early RA patients commencing MTX using chromosome conformation capture by EpiSwitch™. Using blood samples from MTX responders, non-responders and healthy controls, a custom designed biomarker discovery array was refined to a 5-marker CCS that could discriminate between responders and non-responders to MTX. We cross-validated the predictive power of the CCS by generating 150 randomized groups of 59 early RA patients (30 responders and 29 non-responders) before MTX treatment. The CCS was validated using a blinded, independent cohort of 19 early RA patients (9 responders and 10 non-responders). Last, the loci of the CCS markers were mapped to RA-specific eQTL.

RESULTS

We identified a 5-marker CCS that could identify, at baseline, responders and non-responders to MTX. The CCS consisted of binary chromosome conformations in the genomic regions of IFNAR1, IL-21R, IL-23, CXCL13 and IL-17A. When tested on a cohort of 59 RA patients, the CCS provided a negative predictive value of 90.0% for MTX response. When tested on a blinded independent validation cohort of 19 early RA patients, the signature demonstrated a true negative response rate of 86 and a 90% sensitivity for detection of non-responders to MTX. Only conformations in responders mapped to RA-specific eQTL.

CONCLUSIONS

Here we demonstrate that detection of a CCS in blood in early RA is able to predict inadequate response to MTX with a high degree of accuracy. Our results provide a proof of principle that a priori stratification of response to MTX is possible, offering a mechanism to provide alternative treatments for non-responders to MTX earlier in the course of the disease.

摘要

背景

类风湿关节炎(RA)患者需要明确哪些患者对一线疾病修饰抗风湿药物(DMARD)无应答。我们探讨了在接受甲氨蝶呤(MTX)治疗前,取自早期 RA 患者的血液中染色体构象特征(CCS)所代表的基因组结构差异是否有助于识别 DMARD 无应答者,以及这种特征与 RA 特异性表达数量性状基因座(eQTL)之间是否存在关联。

方法

我们使用 EpiSwitch 通过染色体构象捕获技术,在开始接受 MTX 治疗的早期 RA 患者的血液中寻找 CCS 的存在。使用 MTX 应答者、无应答者和健康对照者的血液样本,我们对定制的生物标志物发现阵列进行了改进,以获得能够区分 MTX 应答者和无应答者的 5 个标志物 CCS。在 MTX 治疗前,我们生成了 150 个随机的 59 名早期 RA 患者(30 名应答者和 29 名无应答者)的组,通过这些组交叉验证了 CCS 的预测能力。我们使用 19 名早期 RA 患者(9 名应答者和 10 名无应答者)的盲法、独立队列验证了 CCS。最后,我们将 CCS 标记物的位置映射到 RA 特异性 eQTL。

结果

我们确定了一个 5 个标志物的 CCS,该 CCS 可以在基线时识别 MTX 的应答者和无应答者。CCS 由 IFNAR1、IL-21R、IL-23、CXCL13 和 IL-17A 基因组区域的二进制染色体构象组成。当在 59 名 RA 患者的队列中进行测试时,CCS 对 MTX 反应的阴性预测值为 90.0%。当在一个由 19 名早期 RA 患者组成的盲法独立验证队列中进行测试时,该特征显示出对 MTX 无应答者的真实阴性反应率为 86%,对 MTX 无应答者的敏感性为 90%。只有应答者的构象映射到 RA 特异性 eQTL。

结论

本研究表明,在早期 RA 患者的血液中检测到 CCS 能够以很高的准确度预测 MTX 应答不足。我们的研究结果提供了一个原理验证,即预先分层 MTX 反应是可能的,为疾病早期对 MTX 无应答的患者提供了更早提供替代治疗的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/c4fbf5428021/12967_2018_1387_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/0694c2980a1d/12967_2018_1387_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/d4aefda38ca3/12967_2018_1387_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/f77e962cbb4c/12967_2018_1387_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/c4fbf5428021/12967_2018_1387_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/0694c2980a1d/12967_2018_1387_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/d4aefda38ca3/12967_2018_1387_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/f77e962cbb4c/12967_2018_1387_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd9e/5789697/c4fbf5428021/12967_2018_1387_Fig4_HTML.jpg

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