利用一种适用于真实世界分析的时差 g 率方法评估奥拉帕利对患有转移性前列腺癌的美国退伍军人的疗效。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-09-01 Epub Date: 2024-08-23 DOI:10.1016/j.ebiom.2024.105288
Harshraj Leuva, Mengxi Zhou, Nader Jamaleddine, Mina Meseha, Izak Faiena, Yeun-Hee Anna Park, Glen McWilliams, Carol Luhrs, Kara N Maxwell, Daniel Von Hoff, Susan E Bates, Tito Fojo
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引用次数: 0

摘要

背景:我们旨在利用国家数据储存库评估 PARP 抑制剂奥拉帕利在患有转移性前列腺癌(mPC)的美国退伍军人中的实际疗效,并评估一种新方法,以评估被认为罕见或携带罕见突变的肿瘤的疗效:方法:纳入的退伍军人1)mPC中参与同源重组修复(HRR)的基因存在体细胞或种系改变/突变;2)接受过奥拉帕利单药治疗以及新型激素疗法/雄激素受体通路抑制剂(NHT/ARPI)和/或化疗;3)使用接受治疗期间获得的PSA值估算肿瘤生长率(g-rate)。以往的研究表明,g-速率与生存率呈极好的反相关性。利用 g-rate,我们确定了肿瘤倍增时间(DT)和 DT 比值(奥拉帕利/之前用药的 DT)。我们推测DT比率≥1与获益相关:我们确定了 139 名退伍军人,其中包括 42 名黑人男性,他们的肿瘤携带 HRR 基因突变/变异,并接受了奥拉帕利治疗:BRCA2(50例)、ATM(32例)、BRCA1(10例)、其他突变(47例)。所有退伍军人中有 62/139 人(45%)和 21/42 人(50%)的 DT 比率≥1,其中 BRCA2、ATM、BRCA1 和其他突变分别为 31、10、2 和 19(P = 0.006)。DT比值≥1的中位生存期更长,为24.5个月,而DT比值≥1的中位生存期为11.4个月:我们采用了与评估时间无关的方程进行真实世界疗效分析,结果表明,DT比值≥1代表奥拉帕利的肿瘤生长速度慢于之前的疗法,与生存期的改善相关。奥拉帕利对携带HRR基因突变/变异的mPC退伍军人的疗效与临床试验结果一致。黑人男性的疗效与之相当。与匹配队列相比,在一线治疗中,恩杂鲁胺对携带HRR基因突变/变异的肿瘤疗效较差:美国临床肿瘤学会征服癌症基金会(ASCO CCF)、布拉瓦特尼克家族基金会(Blavatnik Family Foundation)和前列腺癌基金会(PCF)。
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Assessing olaparib efficacy in U.S. Veterans with metastatic prostate cancer utilizing a time-indifferent g-rate method ideal for real-world analyses.

Background: We aimed to assess real-world efficacy of the PARP inhibitor, olaparib, in US Veterans with metastatic prostate cancer (mPC) by leveraging the national data repository and evaluate a novel approach to assess treatment efficacy in tumors considered rare or harboring rare mutations.

Methods: Included Veterans had 1) mPC with somatic or germline alterations/mutations in genes involved in homologous recombination repair (HRR), 2) received olaparib monotherapy as well as a novel hormonal therapy/androgen receptor pathway inhibitors (NHT/ARPI), and/or chemotherapy, and 3) estimable rates of tumor growth (g-rate) using PSA values obtained while receiving treatment. Previous work has shown an excellent inverse correlation of g-rate with survival. Using g-rate, we determined tumor doubling time (DT) and DT ratios (DT on olaparib/DT on prior medication). We postulated that a DT ratio≥ 1 was associated with benefit.

Findings: We identified 139 Veterans, including 42 Black males with tumors harboring mutations/alterations in HRR genes who received olaparib: BRCA2 (50), ATM (32), BRCA1 (10), other mutations (47). 62/139 (45%) of all and 21/42 (50%) of Black Veterans had DT ratios ≥1, including 31, 10, 2, and 19 with BRCA2, ATM, BRCA1, and other mutations, respectively (p = 0.006). Median survival with DT ratios ≥1 was superior, being 24.5 vs. 11.4 months for DT ratio <1 (p = 0.01, HR 0.50, 95% CI 0.29-0.85). Benefit from olaparib, defined as DT ratio ≥1, was not observed for germline status, starting PSA value, number of prior therapies, or immediate prior therapy. Compared to matched cohorts, tumors in the olaparib cohort had shorter DTs with enzalutamide in first line (367 vs. 884 days; p = 0.0043).

Interpretation: Using equations indifferent to timing of assessments ideal for real-world efficacy analyses, we showed DT ratio ≥1 representing slower tumor growth on olaparib relative to the prior therapy correlates with improved survival. Olaparib efficacy in Veterans with mPC harboring mutations/alterations in HRR genes emulates clinical trial results. Black men had comparable results. Compared to matched cohorts, in first line, enzalutamide was less efficacious in tumors harboring mutations/alterations in HRR genes.

Funding: American Society of Clinical Oncology Conquer Cancer Foundation (ASCO CCF), the Blavatnik Family Foundation and the Prostate Cancer Foundation (PCF).

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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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