← 返回

PET/CT 生物标志物可对入组 LOTIS-2 临床试验的复发/难治性弥漫性大 B 细胞淋巴瘤患者进行风险分层

英文原题:PET/CT Biomarkers Enable Risk Stratification of Patients with Relapsed/Refractory Diffuse Large B-cell Lymphoma Enrolled in the LOTIS-2 Clinical Trial.

查看英文原题

PET/CT Biomarkers Enable Risk Stratification of Patients with Relapsed/Refractory Diffuse Large B-cell Lymphoma Enrolled in the LOTIS-2 Clinical Trial.

PubMed 2024/01/05(内容时间) Clin Cancer Res Q1 · IF 10.9(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

研究概要

治疗前 MTV 显示出稳健的风险分层能力,MTV 高的患者在复发/难治性 DLBCL 中对 loncastuximab tesirine 的缓解率和生存期均较低。

研究思路结论见上方概要

在弥漫性大B细胞淋巴瘤(DLBCL)中,定量PET/CT生物标志物的开发已取得重大进展。总代谢肿瘤体积(MTV)是研究最为广泛的指标,能够评估与结局相关的FDG高摄取肿瘤负荷。然而,既往研究评估的是细胞毒性化疗或CAR-T 细胞治疗的结局,缺乏关于近期获批的FDA药物的数据。因此,我们旨在评估接受loncastuximab tesirine治疗的患者中PET/CT生物标志物的预后价值。

我们集中审查了入组 LOTIS-2(NCT03589469)研究的复发/难治性 DLBCL 患者的筛选期 PET/CT 扫描。MTV 通过使用 SUV ≥4.0 阈值计算个体体积获得。还评估了其他 PET/CT 指标、临床因素和国际代谢预后指数(IMPI)。采用 logistic 回归评估生物标志物与治疗反应之间的关联。采用 Cox 回归确定生物标志物对时间-事件结局的影响。我们将生物标志物预测作为连续变量和由截断点定义的二分类变量进行估计。

在本研究纳入的138例患者中,以96 mL为截断值的MTV是在单变量和多变量模型中预测未能达到完全代谢缓解(OR,5.42;P = 0.002)、无进展生存期(HR,2.68;P = 0.002)和总生存期(HR,3.09;P < 0.0001)方面预测性能最高的生物标志物。IMPI表现出适当的性能,但并不优于单独使用MTV。

展开英文摘要原文

Significant progress has occurred in developing quantitative PET/CT biomarkers in diffuse large B-cell lymphoma (DLBCL). Total metabolic tumor volume (MTV) is the most extensively studied, enabling assessment of FDG-avid tumor burden associated with outcomes. However, prior studies evaluated the outcome of cytotoxic chemotherapy or chimeric antigen receptor T-cell therapy without data on recently approved FDA agents. Therefore, we aimed to assess the prognosis of PET/CT biomarkers in patients treated with loncastuximab tesirine. EXPERIMENTAL DESIGN: We centrally reviewed screening PET/CT scans of patients with relapsed/refractory DLBCL enrolled in the LOTIS-2 (NCT03589469) study. MTV was obtained by computing individual volumes using the SUV ≥4.0 threshold. Other PET/CT metrics, clinical factors, and the International Metabolic Prognostic Index (IMPI) were evaluated. Logistic regression was used to assess the association between biomarkers and treatment response. Cox regression was used to determine the effect of biomarkers on time-to-event outcomes. We estimated biomarker prediction as continuous and binary variables defined by cutoff points.

Across 138 patients included in this study, MTV with a cutoff point of 96 mL was the biomarker associated with the highest predictive performance in univariable and multivariable models to predict failure to achieve complete metabolic response (OR, 5.42; P = 0.002), progression-free survival (HR, 2.68; P = 0.002), and overall survival (HR, 3.09; P < 0.0001). IMPI demonstrated an appropriate performance, however, not better than MTV alone.

Pretreatment MTV demonstrated robust risk stratification, with those patients demonstrating high MTV achieving lower responses and survival to loncastuximab tesirine in relapsed/refractory DLBCL.

论文信息

作者
Alderuccio JP、Reis IM、Hamadani M、Nachiappan M、Leslom S、Kahl BS、Ai WZ、Radford J
单位
Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.United States
文献类型
非美国政府资助研究 · 美国 NIH 资助研究
期刊
Clinical cancer research : an official journal of the American Association for Cancer Research2024 Jan 5
原文标识
PubMed 37855688 · DOI 10.1158/1078-0432.CCR-23-1561