PO.MD01.02 · 分子诊断与数据

AACR Project GENIE 生物制药协作组(BPC)非小细胞肺癌(NSCLC)队列中与早期治疗中断相关的因素

Factors associated with early treatment discontinuation in the AACR Project GENIE Biopharma Collaborative (BPC) non-small cell lung cancer (NSCLC) cohort

海报缩略图:AACR Project GENIE 生物制药协作组(BPC)非小细胞肺癌(NSCLC)队列中与早期治疗中断相关的因素
编号 4107 展板 12 时间 4/21 09:00–12:00 区域 Section 1 主讲 Dany Hamze, No Degree
分会场 AACR Project GENIE: Genomic Characterization
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作者与单位 Authors & Affiliations

Dany Hamze, Sanjay Mishra, Aleenah Mohsin, Sarah Minuit, Ece Gamsiz Uzun, Jeremy L. Warner

Brown University, Providence, RI

摘要 Abstract

中文摘要
背景:NSCLC 中早期治疗中断很常见,且与较差的预后相关。我们试图在接受免疫检查点抑制剂(ICI)或酪氨酸激酶抑制剂(TKI)治疗的 NSCLC 患者中,识别与早期中断相关的临床和基因组因素,这两类药物目前已成为大多数 NSCLC 治疗策略的核心。我们使用了 AACR Project GENIE BPC 登记数据库,该数据库捕获了精细的药物暴露信息以及其他临床和基因组变量。 方法:数据于 2025 年 5 月 19 日从 BPC NSCLC v2.0 队列获取。接受 ICI 或 TKI 的患者,若所识别药物具有不同的开始和结束日期,则纳入分析。早期中断阈值首先经临床估计,随后采用以下方法进行经验性定义:1)高斯混合模型;2)分类与回归树分析,TKI 和 ICI 的共识临界值分别为 3.0 和 4.3 个月。应用多变量 logistic 回归(MLR)评估早期中断与以下因素之间的关联:性别;分期;药物类别;EGFR、ALK、KRAS 和 BRAF 中的致癌驱动突变;以及治疗线数(一线 [1L] 与后线)。由于该队列早于一线 ICI 的更广泛采用,BPC 中大多数 ICI 暴露发生于后线。 结果:1846 个治疗事件中有 910 个(49%)被纳入。按照我们的定义,其中 420 个(46%)发生了早期中断。在 MLR 中,TKI 暴露(OR 0.17,95% CI 0.12-0.24)以及作为一线(1L)治疗接受 TKI 或 ICI(OR 0.56,95% CI 0.39-0.78)与早期中断呈负相关。IV 期与早期中断呈现相关趋势(OR 1.56,95% 0.94-2.65)。相反,EGFR 突变的存在呈现远离早期中断的趋势(OR 0.72,95% CI 0.48-1.07)。最终模型显示出良好的区分度,AUC 为 0.74。校准分析显示预测概率与观察概率之间高度一致。 结论:在任何线接受 TKI 以及一线接受 ICI 治疗均与早期中断呈负相关,提示存在耐受性差异。EGFR 突变状态呈现较低中断风险的趋势,且独立于 TKI 暴露或治疗线数。IV 期呈现较高早期中断风险的趋势,这可能反映了治疗期间疾病的早期进展。局限性包括:1)排除了单剂量或临床试验药物的事件(两者在 BPC 中均以相同的开始/结束日期记录);2)缺乏中断原因的金标准;3)在具有多个治疗事件的患者中,跨事件的相互作用未知;以及 4)未测量的混杂因素,如健康的社会决定因素(SDOH)。尽管存在这些局限性,我们的研究结果突出了可能为个体化策略提供参考的独特因素,值得进一步研究。
查看英文原文 English abstract
Background: Early treatment discontinuation in NSCLC is frequent and is associated with worse outcomes. We sought to identify clinical and genomic factors associated with early discontinuation among patients with NSCLC treated with immune checkpoint inhibitors (ICIs) or tyrosine kinase inhibitors (TKIs), now central to most NSCLC treatment strategies. We used the AACR Project GENIE BPC registry, which captures granular drug exposures along with other clinical and genomic variables. Methods: Data were obtained from the BPC NSCLC v2.0 cohort on May 19, 2025. Patients receiving ICIs or TKIs were included if the identified drugs had different start and end dates. Early discontinuation thresholds were first clinically estimated, then empirically defined using 1) Gaussian Mixture Models and 2) Classification and Regression Tree analysis, with consensus cutoffs of 3.0 and 4.3 months for TKIs and ICIs, respectively. Multivariable logistic regression (MLR) was applied to evaluate associations between early discontinuation and: sex; stage; drug class; oncogenic driver mutations in EGFR , ALK , KRAS , and BRAF ; and line of therapy (first-line [1L] vs later-line). Because the cohort predates wider first-line ICI adoption, most ICI exposures in BPC occur in later lines. Results: 910 of 1846 (49%) treatment episodes were included. By our definition, early discontinuation occurred in 420 (46%) of these. In MLR, TKI exposure (OR 0.17, 95% CI 0.12-0.24) and receiving TKI or ICI as 1L treatment (OR 0.56, 95% CI 0.39-0.78) were inversely associated with early discontinuation. Stage IV was associated with a trend towards early discontinuation (OR 1.56, 95% 0.94-2.65). Conversely, the presence of an EGFR mutation trended away from early discontinuation (OR 0.72, 95% CI 0.48-1.07). The final model demonstrated good discrimination with an AUC of 0.74. Calibration analysis showed excellent agreement between predicted and observed probabilities. Conclusions: Receiving TKIs in any line and ICI treatment in 1L were inversely associated with early discontinuation, suggesting differential tolerability. EGFR mutation status demonstrated a trend toward lower discontinuation risk, independent of TKI exposure or line of therapy. Stage IV trended towards a higher early discontinuation risk, which could reflect early progression of disease while on treatment. Limitations include: 1) the exclusion of episodes with a single dose or a clinical trial medication (both are recorded with the same start/end date in BPC); 2) a lack of ground truth for discontinuation reasons; 3) unknown cross-episode interactions in patients with multiple treatment episodes; and 4) unmeasured confounders, such as social determinants of health (SDOH). Despite these limitations, our findings highlight distinct factors that may inform individualized strategies and warrant further investigation.
利益披露 Disclosure
D. Hamze, None.. S. Mishra, None.. A. Mohsin, None.. S. Minuit, None.. E. Gamsiz Uzun, None.. J. L. Warner, None.

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