Suppr超能文献

分析T细胞受体基因重排以预测皮肤T细胞淋巴瘤患者的临床结局:Southern印迹法与聚合酶链反应方法的比较

Analysis of T-cell receptor gene rearrangement for predicting clinical outcome in patients with cutaneous T-cell lymphoma: a comparison of Southern blot and polymerase chain reaction methods.

作者信息

Juarez Thaddeus, Isenhath Scott N, Polissar Nayak L, Sabath Daniel E, Wood Brent, Hanke Deena, Haycox Claire L, Wood Gary S, Olerud John E

机构信息

UCLA Neuropsychiatric Institute/West Los Angeles Veterans Affairs Medical Center, Los Angeles, CA, USA.

出版信息

Arch Dermatol. 2005 Sep;141(9):1107-13. doi: 10.1001/archderm.141.9.1107.

Abstract

OBJECTIVE

To extend previous observations regarding the prognostic value of analyzing lymph node DNA from patients with cutaneous T-cell lymphoma for the presence of a monoclonal T-cell population by Southern blot vs polymerase chain reaction (PCR) methods.

DESIGN

Inception cohort study from 1982 to 1998. Recruitment of new patients ended in 1994.

SETTING

A tertiary care referral center in Seattle, Wash. Patients Fifty-five uniformly staged patients with the diagnosis of cutaneous T-cell lymphoma who underwent a lymph node biopsy, 21 with clinically abnormal nodes and 34 with normal nodes. Interventions Lymph nodes were evaluated for T-cell receptor (TCR) gamma-chain gene rearrangement by 2 PCR methods: capillary electrophoresis and denaturing gradient gel electrophoresis. The same lymph nodes were evaluated by Southern blot analysis for TCR beta-chain gene rearrangement and examined histopathologically on the basis of the National Cancer Institute lymph node classification system. Patients were observed clinically for a mean of 9.5 years.

MAIN OUTCOME MEASURES

Skin stage, clinical lymph node examination, lymph node histologic examination, Southern blot analysis, and PCR analyses were evaluated as potential prognostic predictors by univariate and multivariate analyses. The statistical association of TCR analysis and clinical outcome was determined among all patients. Hazard ratios (HRs) by Cox proportional hazards regression analysis were used to estimate the risk of a poor clinical outcome. Cumulative survival rates were analyzed by the Kaplan-Meier method.

RESULTS

A skin stage of T3 (tumors) or T4 (erythroderma) was the most powerful predictor of a poor clinical outcome (HR, 31.3 vs T1; P<.001). Patients with detectable TCR gamma-chain gene rearrangement in lymph node DNA by PCR also were more likely to have a poor outcome (HR, 5.1; P<.001), but it was a less powerful predictor than skin stage. Even when the skin stage, presence or absence of lymphadenopathy, and histologic lymph node score were known for the patient, Southern blot analysis still added to prediction of a poor outcome (HR, 9.3; P = .007), whereas PCR provided no statistically significant additional information on outcome.

CONCLUSIONS

Detection of a monoclonal T-cell population by PCR in lymph nodes of patients with cutaneous T-cell lymphoma does not enhance prediction of clinical outcome and probability of survival beyond what can be determined from clinical examination and histologic lymph node scores. Skin stage and the presence or absence of lymphadenopathy remain the most important determinants of clinical outcome.

摘要

目的

通过Southern印迹法与聚合酶链反应(PCR)方法,扩展先前关于分析皮肤T细胞淋巴瘤患者淋巴结DNA中是否存在单克隆T细胞群体的预后价值的观察结果。

设计

1982年至1998年的初始队列研究。新患者招募于1994年结束。

地点

华盛顿州西雅图的一家三级医疗转诊中心。患者55例诊断为皮肤T细胞淋巴瘤且接受了淋巴结活检的分期一致的患者,21例临床淋巴结异常,34例淋巴结正常。干预措施通过两种PCR方法评估淋巴结的T细胞受体(TCR)γ链基因重排:毛细管电泳和变性梯度凝胶电泳。对相同的淋巴结进行Southern印迹分析以评估TCRβ链基因重排,并根据美国国立癌症研究所淋巴结分类系统进行组织病理学检查。对患者进行平均9.5年的临床观察。

主要观察指标

通过单因素和多因素分析评估皮肤分期、临床淋巴结检查、淋巴结组织学检查、Southern印迹分析和PCR分析作为潜在预后预测指标的情况。在所有患者中确定TCR分析与临床结局的统计学关联。采用Cox比例风险回归分析的风险比(HR)来估计不良临床结局的风险。通过Kaplan-Meier方法分析累积生存率。

结果

皮肤分期为T3(肿瘤)或T4(红皮病)是不良临床结局的最强预测指标(HR为31.3,对比T1;P<0.001)。通过PCR检测到淋巴结DNA中存在TCRγ链基因重排的患者也更有可能出现不良结局(HR为5.1;P<0.001),但它作为预测指标的效力不如皮肤分期。即使已知患者的皮肤分期、有无淋巴结病以及组织学淋巴结评分,Southern印迹分析仍可增加对不良结局的预测(HR为9.3;P = 0.007),而PCR并未提供关于结局的具有统计学意义的额外信息。

结论

通过PCR检测皮肤T细胞淋巴瘤患者淋巴结中的单克隆T细胞群体,并不能增强对临床结局和生存概率的预测,其预测能力不超过临床检查和组织学淋巴结评分所能确定的范围。皮肤分期和有无淋巴结病仍然是临床结局的最重要决定因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验