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同源重组缺陷的预测可识别对PARP抑制敏感的结直肠癌肿瘤。

Prediction of homologous recombination deficiency identifies colorectal tumors sensitive to PARP inhibition.

作者信息

Corti Giorgio, Buzo Kristi, Berrino Enrico, Miotto Martina, Aquilano Maria Costanza, Lentini Marilena, Bellomo Sara Erika, Lorenzato Annalisa, Bartolini Alice, Mauri Gianluca, Lazzari Luca, Russo Mariangela, Di Nicolantonio Federica, Siena Salvatore, Marsoni Silvia, Marchiò Caterina, Bardelli Alberto, Arena Sabrina

机构信息

Department of Oncology, University of Torino, Torino, Italy.

Candiolo Cancer Institute, FPO - IRCCS, Candiolo, Italy.

出版信息

NPJ Precis Oncol. 2024 Oct 14;8(1):231. doi: 10.1038/s41698-024-00706-7.

Abstract

The synthetic lethal effect observed with the use of PARP inhibitors (PARPi) with tumors characterized by the loss of key players in the homologous recombination (HR) pathway, commonly referred to as "BRCAness", is maintaining high interest in oncology. While BRCAness is a well-established feature in breast, ovarian, prostate, and pancreatic carcinomas, our recent findings indicate that up to 15% of colorectal cancers (CRC) also harbor defects in the HR pathway, presenting promising opportunities for innovative therapeutic strategies in CRC patients. We developed a new tool called HRDirect, which builds upon the HRDetect algorithm and is able to predict HR deficiency (HRD) from reference-free tumor samples. We validated HRDirect using matched breast cancer and CRC patient samples. Subsequently, we assessed its efficacy in predicting response to the PARP inhibitor olaparib by comparing it with two other commercial assays: AmoyDx HRD by Amoy Diagnostics and the TruSight Oncology 500 HRD (TSO500-HRD) panel by Illumina NGS technology. While all three approaches successfully identified the most PARPi-sensitive CRC models, HRDirect demonstrated superior precision in distinguishing resistant models compared to AmoyDX and TSO500-HRD, which exhibited overlapping scores between sensitive and resistant cells. Furthermore, we propose integrating HRDirect scoring with ATM and RAD51C immunohistochemical analysis as part of our "composite biomarker approach" to enhance the identification of HRD tumors, with an immediate translational and clinical impact for CRC personalized treatment.

摘要

使用聚(ADP-核糖)聚合酶抑制剂(PARPi)与具有同源重组(HR)途径关键参与者缺失特征的肿瘤(通常称为“BRCA样”)所观察到的合成致死效应,一直是肿瘤学领域的研究热点。虽然BRCA样在乳腺癌、卵巢癌、前列腺癌和胰腺癌中是一个已确立的特征,但我们最近的研究结果表明,高达15%的结直肠癌(CRC)在HR途径中也存在缺陷,这为CRC患者的创新治疗策略提供了有前景的机会。我们开发了一种名为HRDirect的新工具,它基于HRDetect算法构建,能够从无参考的肿瘤样本中预测HR缺陷(HRD)。我们使用匹配的乳腺癌和CRC患者样本对HRDirect进行了验证。随后,我们通过将其与另外两种商业检测方法进行比较,评估了它在预测对PARP抑制剂奥拉帕尼反应方面的功效:厦门艾德生物科技有限公司的厦门艾德HRD检测和Illumina NGS技术的TruSight肿瘤学500 HRD(TSO500-HRD)检测板。虽然所有三种方法都成功识别出了对PARPi最敏感的CRC模型,但与厦门艾德和TSO500-HRD相比,HRDirect在区分耐药模型方面表现出更高的精度,后两者在敏感细胞和耐药细胞之间的得分存在重叠。此外,我们建议将HRDirect评分与ATM和RAD51C免疫组化分析相结合,作为我们“复合生物标志物方法”的一部分,以加强对HRD肿瘤的识别,这将对CRC个性化治疗产生直接的转化和临床影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a577/11473949/6b3fedb7931d/41698_2024_706_Fig1_HTML.jpg

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