Suppr超能文献

外周T细胞淋巴瘤24个月无事件生存率及后续生存率的国际评估

International Assessment of Event-Free Survival at 24 Months and Subsequent Survival in Peripheral T-Cell Lymphoma.

作者信息

Maurer Matthew J, Ellin Fredrik, Srour Line, Jerkeman Mats, Bennani N Nora, Connors Joseph M, Slack Graham W, Smedby Karin E, Ansell Stephen M, Link Brian K, Cerhan James R, Relander Thomas, Savage Kerry J, Feldman Andrew L

机构信息

Matthew J. Maurer, N. Nora Bennani, Stephen M. Ansell, James R. Cerhan, and Andrew L. Feldman, Mayo Clinic, Rochester, MN; Fredrik Ellin, Kalmar County Hospital, Kalmar; Fredrik Ellin and Thomas Relander, Lund University; Mats Jerkeman and Thomas Relander, Skåne University Hospital, Lund; Karin E. Smedby, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Line Srour, Joseph M. Connors, Graham W. Slack, and Kerry J. Savage, Centre for Lymphoid Cancer, BC Cancer Agency, Vancouver, British Columbia, Canada; and Brian K. Link, University of Iowa Hospitals and Clinics, Iowa City, IA.

出版信息

J Clin Oncol. 2017 Dec 20;35(36):4019-4026. doi: 10.1200/JCO.2017.73.8195. Epub 2017 Oct 26.

Abstract

Purpose Peripheral T-cell lymphomas (PTCLs) have aggressive clinical behavior. We have previously shown that event-free survival (EFS) at 24 months (EFS24) is a clinically useful end point in diffuse large B-cell lymphoma. Here, we assess EFS24 and subsequent overall survival (OS) in large, multinational PTCL cohorts. Patients and Methods Patients with systemic PTCL newly diagnosed from 2000 to 2012 and treated with curative intent were included from the United States and Sweden (initial cohorts) and from Canada (replication cohort). EFS was defined as time from date of diagnosis to progression after primary treatment, retreatment, or death. Subsequent OS was measured after achieving EFS24 or from the time of progression if it occurred within 24 months. OS rates were compared with the age-, sex-, and country-matched general population. Results Seven hundred seventy-five patients were included in the study (the median age at diagnosis was 64 years; 63% were men). Results were similar in the initial and replication cohorts, and a combined analysis was undertaken. Sixty-four percent of patients progressed within the first 24 months and had a median OS of only 4.9 months (5-year OS, 11%). In contrast, median OS after achieving EFS24 was not reached (5-year OS, 78%), although relapses within 5 years of achieving EFS24 occurred in 23% of patients. Superior outcomes after achieving EFS24 were observed in younger patients (≤ 60 years of age: 5-year OS, 91%). Conclusion EFS24 stratifies subsequent outcome in PTCL. Patients with PTCL with primary refractory disease or early relapse have extremely poor survival. However, more than one third of patients with PTCL remain in remission 2 years after diagnosis with encouraging subsequent OS, especially in younger patients. These marked differences in outcome suggest that EFS24 has utility for patient counseling, study design, and risk stratification in PTCL.

摘要

目的 外周T细胞淋巴瘤(PTCL)具有侵袭性临床行为。我们之前已经表明,24个月无事件生存率(EFS24)是弥漫性大B细胞淋巴瘤中一个具有临床实用性的终点指标。在此,我们评估大型跨国PTCL队列中的EFS24及随后的总生存期(OS)。

患者与方法 纳入2000年至2012年新诊断的、接受根治性治疗的系统性PTCL患者,来自美国和瑞典(初始队列)以及加拿大(验证队列)。EFS定义为从诊断日期到初次治疗、再次治疗或死亡后疾病进展的时间。在达到EFS24后测量随后的OS,或如果在24个月内发生进展,则从进展时开始测量。将OS率与年龄、性别和国家匹配的普通人群进行比较。

结果 775例患者纳入研究(诊断时的中位年龄为64岁;63%为男性)。初始队列和验证队列的结果相似,因此进行了合并分析。64%的患者在最初24个月内病情进展,中位OS仅为4.9个月(5年OS,11%)。相比之下,达到EFS24后的中位OS未达到(5年OS,78%),尽管23%的患者在达到EFS24后5年内复发。在年轻患者(≤60岁:5年OS,91%)中观察到达到EFS24后有更好的结局。

结论 EFS24可对PTCL的后续结局进行分层。原发性难治性疾病或早期复发的PTCL患者生存极差。然而,超过三分之一的PTCL患者在诊断后2年仍处于缓解期,随后的OS令人鼓舞,尤其是在年轻患者中。这些显著的结局差异表明,EFS24在PTCL患者咨询、研究设计和风险分层方面具有实用性。

相似文献

引用本文的文献

本文引用的文献

8
Molecular Pathogenesis of Peripheral T Cell Lymphoma.外周T细胞淋巴瘤的分子发病机制
Curr Hematol Malig Rep. 2015 Dec;10(4):429-37. doi: 10.1007/s11899-015-0289-7.
9
A three-signal model of T-cell lymphoma pathogenesis.T 细胞淋巴瘤发病机制的三信号模型。
Am J Hematol. 2016 Jan;91(1):113-22. doi: 10.1002/ajh.24203. Epub 2015 Nov 17.

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