Abstract A09: A next generation sequencing based microsatellite instability assay suitable for routine risk stratification in colorectal cancer

Ghanim Alhilal, L. Redford, Á. Alonso, Sira Moreno, M. Arends, A. Oniscu, Ottilia O'Brien, S. Needham, J. Burn, M. Jackson, M. Santibanez-Koref
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Abstract

3-5% of CRCs show microsatellite instability (MSI) caused by germline defects in mismatch repair genes (MMR) predisposing to Lynch syndrome. In addition, 12% of sporadic CRCs show MSI. Currently, MSI is tested using a fragment analysis based assay not suitable for high throughput testing with suboptimal sensitivity and specificity. Knowledge of microsatellite instability affects prognosis (MSI is a positive prognostic factor in stage II CRC), risk stratification (for the affected and at risk relatives in Lynch syndrome), prediction of lymph node involvement (lymph node metastasis is unlikely in stage I MSI positive CRC) and treatment of CRCs (MMR deficient tumours showed observable benefit from PD-1 blocking agent pembrolizumab). For all these important benefits, MSI testing is now recommended for all newly diagnosed CRCs. As a result, development of a high throughput approach is desirable. We have developed and validated a high throughput sequence based MSI assay. In this study, we tested 17 short (7-12bp) mononucleotide markers (previously identified by our team via an in silico analyses of whole genome sequencing data). These 17 markers were able to discriminate between MSI-high (MSI-H) and microsatellite stable (MSS) cases. To define the optimal parameters to discriminate between MSI-H and MSS samples, we tested these 17 markers across a panel of 141 CRC samples. This allowed us to define a scoring scheme for the 17 markers using allelic imbalance based on a linked SNP (called weighted scoring scheme), which achieved 96% sensitivity and 100% specificity. This scoring scheme was then validated using an independent cohort of 70 CRCs without knowing their MSI status. The assay achieved a 100% sensitivity and specificity. We provide here a high throughput tool to detect microsatellite instability that is less costly, uses short mononucleotide markers (eliminating the need to test matched normal tissue) and is validated on formalin fixed paraffin embedded (FFPE) samples (similar to routine samples). The ability to test the microsatellite instability status in all the newly diagnosed CRC cases would have a great clinical impact on prognosis, risk stratification and treatment of CRCs. Citation Format: Ghanim Alhilal, Lisa Redford, Angel Alonso, Sira Moreno, Mark Arends, Anca Oniscu, Ottilia O9Brien, Stephanie Needham, John Burn, Michael Jackson, Mauro Santibanez-Koref. A next generation sequencing based microsatellite instability assay suitable for routine risk stratification in colorectal cancer. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr A09.
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摘要:新一代基于测序的微卫星不稳定性测定方法适用于结直肠癌的常规风险分层
3-5%的crc表现出微卫星不稳定性(MSI),这是由错配修复基因(MMR)的种系缺陷引起的,易患Lynch综合征。此外,12%的散发性crc表现为MSI。目前,MSI是使用基于片段分析的检测方法进行检测的,该方法不适合高通量检测,灵敏度和特异性都不理想。对微卫星不稳定性的了解影响预后(MSI是II期CRC的积极预后因素)、风险分层(对于Lynch综合征的受影响和有风险的亲属)、淋巴结累及的预测(I期MSI阳性CRC不太可能发生淋巴结转移)和CRC的治疗(MMR缺陷肿瘤从PD-1阻断剂派姆单抗中获得了明显的益处)。鉴于所有这些重要的益处,MSI检测现在被推荐用于所有新诊断的crc。因此,需要开发一种高吞吐量的方法。我们已经开发并验证了一种基于高通量序列的MSI检测方法。在这项研究中,我们测试了17个短(7-12bp)单核苷酸标记(之前由我们的团队通过全基因组测序数据的计算机分析确定)。这17个标记能够区分msi高(MSI-H)和微卫星稳定(MSS)病例。为了确定区分MSI-H和MSS样本的最佳参数,我们在141个CRC样本中测试了这17种标记物。这使我们能够定义基于连锁SNP的等位基因不平衡的17个标记的评分方案(称为加权评分方案),该方案达到96%的灵敏度和100%的特异性。然后在不知道其MSI状态的情况下,使用70个crc的独立队列验证该评分方案。该试验达到100%的灵敏度和特异性。我们提供了一种高通量工具来检测微卫星不稳定性,该工具成本较低,使用短单核苷酸标记(无需测试匹配的正常组织),并在福尔马林固定石蜡包埋(FFPE)样品(类似于常规样品)上进行验证。能否在所有新诊断的CRC病例中检测微卫星不稳定状态,将对CRC的预后、风险分层和治疗产生重大的临床影响。引文格式:Ghanim Alhilal, Lisa Redford, Angel Alonso, sierra Moreno, Mark Arends, Anca Oniscu, Ottilia O9Brien, Stephanie Needham, John Burn, Michael Jackson, Mauro Santibanez-Koref。适用于结直肠癌常规风险分层的新一代基于测序的微卫星不稳定性测定。[摘要]。摘自:AACR特别会议论文集:改进癌症风险预测以预防和早期发现;2016年11月16日至19日;费城(PA): AACR;Cancer epidemiology Biomarkers pre2017;26(5增刊):摘要nr A09。
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