Mayo Clinic, Rochester, MN, USA.
British Columbia Cancer Agency, Vancouver, BC, Canada.
Blood Cancer J. 2018 Feb 28;8(3):27. doi: 10.1038/s41408-018-0064-9.
ECOG/ACRIN 1412 (E1412) is a randomized, phase II open-label study of lenalidomide/RCHOP vs. RCHOP alone in adults with newly diagnosed de novo diffuse large B-cell lymphoma (DLBCL) and requires NanoString gene expression profiling (GEP) for cell-of-origin testing. Because of high ineligibility rate on retrospective expert central pathology review (ECPR), real-time (RT) ECPR was instituted to confirm diagnosis and ensure adequate tissue for GEP prior to study enrollment. Goal was notification of eligibility within 2 working days (WD). Initially, 208 patients were enrolled, 74 (35.6%) of whom were deemed ineligible by retrospective ECPR. After initiation of RT-ECPR, 219 patients were registered. Of these, 73 (33.3%) were ineligible and were declined enrollment; 47 (21.5% of total) had an ineligible diagnosis on RT-ECPR, and 26 (11.9% of total) had inadequate tissue. Because the 73 ineligible patients were never enrolled, no study slots were "lost" during this phase. Notification of eligibility occurred in an average of 1 WD (Range 0-4) with 97.3% within 2 WD. This novel RT-ECPR serves as a model for future lymphoma trials. Real-time ECPR can help to reduce costs and ensure that study slots accurately reflect the targeted population. In the precision-medicine era, rapid collection of relevant pathology/biomarker data is essential to trial success.
ECOG/ACRIN 1412(E1412)是一项随机、二期、开放标签的研究,比较了来那度胺/RCHOP 与 RCHOP 单药治疗新诊断的初治弥漫性大 B 细胞淋巴瘤(DLBCL)成人患者的疗效,该研究需要进行 NanoString 基因表达谱(GEP)以进行细胞起源检测。由于回顾性专家中心病理审查(ECPR)的高不合格率,因此引入实时(RT)ECPR 以确认诊断并确保在研究入组前有足够的组织进行 GEP。目标是在 2 个工作日(WD)内通知合格情况。最初,入组了 208 例患者,其中 74 例(35.6%)通过回顾性 ECPR 被认为不合格。在启动 RT-ECPR 后,入组了 219 例患者。其中,73 例(33.3%)不合格,被拒绝入组;47 例(RT-ECPR 总不合格率的 21.5%)的诊断不合格,26 例(RT-ECPR 总不合格率的 11.9%)的组织不足。由于这 73 例不合格患者从未入组,因此在这一阶段并未“丢失”研究名额。平均在 1 个 WD(范围 0-4)内通知合格情况,97.3%在 2 个 WD 内通知。这种新型的 RT-ECPR 为未来的淋巴瘤试验提供了一个模型。实时 ECPR 有助于降低成本,并确保研究名额准确反映目标人群。在精准医学时代,快速收集相关的病理/生物标志物数据对于试验成功至关重要。