PO.CL01.18 · 临床研究

甲基化和蛋白质生物标志物类别在多癌种早期检测(MCED)检测中的互补贡献

The complementary contributions of methylation and protein biomarker classes in a multi-cancer early detection (MCED) test

海报缩略图:甲基化和蛋白质生物标志物类别在多癌种早期检测(MCED)检测中的互补贡献
编号 1109 展板 19 时间 4/19 02:00–05:00 区域 Section 43 主讲 Frank Diehl
分会场 Early Detection Biomarkers 1
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Vladimir G. Gainullin1, Melissa Gray1, Madhav Kumar1, Stephen Luebker1, Avinash Shanmugam1, Kevin Cortes1, Emily Chang1, Philip J. Uren2, Amin Mazloom2, Jorge Garces1, Tomasz M. Beer1, Frank Diehl2

1Exact Sciences Corp., Madison, WI,2Exact Sciences Corp., La Jolla, CA

摘要 Abstract

中文摘要
背景:癌症是一种由多种分子改变驱动的复杂疾病。多癌种早期检测(MCED)检测依赖高灵敏度技术来测量血液中这些多样的肿瘤相关生物标志物类别。多生物标志物MCED检测方法可能有潜力比单一生物标志物方法检测出更多癌症,因为生物标志物释放入循环是由不同机制驱动的。我们此前开发了一种多生物标志物类别(甲基化和蛋白质;MP V1)MCED分类器(Gainullin,medRxiv,2025.08.24.25334244)。在此,我们使用新开发的(MP V2)分类器描述可归因于蛋白质(P)和甲基化(M)的贡献。 方法:使用一项前瞻性收集的病例-对照研究(N=3,163;729例癌症,2,434例非癌症)开发经过改进的MP V2分类器。MP V2经过训练,在目标特异性≥97.0%下实现稳健的早期敏感性。M和P分类器分别单独训练;结果使用逻辑OR总体分类器进行合并以生成最终判定。当M或P检测提供阳性判定时,MP V2判定为阳性。我们评估了因P单独、M单独和M+P(逻辑AND)阳性判定而导致的MP V2阳性判定的百分比。 结果:在预期使用(排除乳腺癌和前列腺癌)队列的378/590例MP V2阳性判定中,M+P阳性判定占45.5%,P单独占7.4%,M单独占47.1%。P单独阳性判定分别在I期(N=36)、II期(N=63)、I期和II期合并(N=99)、III期(N=123)、IV期(N=140)和未知分期(N=16)MP V2阳性判定的13.9%、9.5%、11.1%、6.5%、5.7%和6.3%中观察到。M单独阳性判定分别在I期、II期、I期和II期合并、III期、IV期和未知分期MP V2阳性判定的63.9%、65.1%、64.6%、52.0%、28.6%和62.5%中观察到。M+P阳性判定分别在I期、II期、I期和II期合并、III期、IV期和未知分期MP V2阳性判定的22.2%、25.4%、24.2%、41.5%、65.7%和31.1%中观察到。在64/2,434例(2.6%)假阳性判定中,无一为M+P阳性;所有假阳性均为P单独或M单独阳性判定的结果。 结论:M和P生物标志物类别为MP V2分类器阳性判定提供了独立贡献,尤其在早期(I期和II期)病例中,展示了在MCED检测中向甲基化分析添加蛋白质的潜在价值。MP V2分类器的前瞻性真实世界评估目前正在进行中。
查看英文原文 English abstract
Background: Cancer is a complex disease driven by a multitude of molecular alterations. Multi-cancer early detection (MCED) tests rely on highly sensitive technologies to measure these diverse tumor-associated biomarker classes in blood. A multi-biomarker MCED testing approach may have the potential to detect more cancers than a single biomarker approach, as release of biomarkers into the circulation is driven by different mechanisms. We previously developed a multi-biomarker class (methylation and protein; MP V1) MCED classifier (Gainullin, medRxiv, 2025.08.24.25334244). Herein, we describe the contributions attributable to protein (P) and methylation (M) using a newly developed (MP V2) classifier. Methods: A prospectively collected case-control study (N=3,163; 729 cancers, 2,434 non-cancers) was used to develop a refined MP V2 classifier. MP V2 was trained to achieve robust early-stage sensitivity at a target specificity of ≥97.0%. M and P classifiers were trained individually; results were combined using a logical OR overarching classifier to generate the final call. MP V2 calls were deemed positive when either the M or P assay provided a positive call. We assessed the percentage of MP V2 positive calls due to P-only, M-only, and M+P (logical AND) positive calls. Results: Of the 378/590 positive MP V2 calls in the intended use (breast and prostate cancers excluded) cohort, M+P-positive calls were observed in 45.5%, P-only in 7.4%, and M-only in 47.1%. A P-only positive call was observed in 13.9%, 9.5%, 11.1%,6.5%, 5.7%, and 6.3% of stage I (N=36), II (N=63), stages I and II combined (N=99), III (N=123), IV (N=140), and unknown stage (N=16) MP V2 positive calls, respectively. An M-only positive call was observed in 63.9%, 65.1%, 64.6%, 52.0%, 28.6%, and 62.5% of stage I, II, stages I and II combined, III, IV, and unknown stage MP V2 positive calls, respectively. An M+P positive call was observed in 22.2%, 25.4%, 24.2%, 41.5%, 65.7%, and 31.1% of stage I, II, stages I and II combined, III, IV, and unknown stage MP V2 positive calls, respectively. Of the 64/2,434 (2.6%) false positive calls, none were positive for M+P; all false positives were a result of P-only or M-only positive calls. Conclusions: M and P biomarker classes provide independent contributions for MP V2 classifier positive calls, especially in early-stage (I and II) cases, demonstrating the potential value of adding proteins to methylation analysis in MCED testing. Prospective, real-world evaluation of the MP V2 classifier is currently underway.
利益披露 Disclosure
V. G. Gainullin, Exact Sciences Corp. Employment, Stock. M. Gray, Exact Sciences Corp. Employment, Stock. M. Kumar, Exact Sciences Corp. Employment, Stock. S. Luebker, Exact Sciences Corp. Employment, Stock. A. Shanmugam, Exact Sciences Corp. Employment, Stock. K. Cortes, Exact Sciences Corp. Employment, Stock. E. Chang, Exact Sciences Corp. Employment, Stock. P. J. Uren, Exact Sciences Corp. Employment, Stock. Biora Therapeutics Stock. A. Mazloom, Exact Sciences Cop. Employment, Stock. J. Garces, Exact Sciences Corp. Employment, Stock. T. M. Beer, Exact Sciences Employment, Stock. Osheru Stock. Osteologic Stock. AstraZeneca Other, consulting/advisory role. F. Diehl, Exact Sciences Corp. Employment, Stock.

← 返回 AACR 2026 检索