Identifying actionable genetic mutations and microsatellite instability in liquid biopsy of colorectal cancer

在结直肠癌液体活检中识别可操作的基因突变和微卫星不稳定性

阅读:13
作者:Neemat M Kassem ,Mohamed G Seadawy ,Maha Gaafar ,Hebatallah A Kassem ,Amira Farouk Ahmed Hussein ,Enas M Ali Rizk ,Marwa A Hassan ,Riham H AbdelAziz ,Mentallah M Abdelradi ,Mostafa F El-Hosseny ,Mohamed Abdulla ,Rabab Abdel Moneim

Abstract

Introduction: Colorectal cancer (CRC) is a molecularly diverse disorder arising from gradual accumulation of genetic and epigenetic changes giving interest in characterization of genetic alterations and microsatellite instability (MSI) for identification of new personalized therapeutic targets. Objectives: Evaluating the incidence of somatic mutations in clinically relative signaling pathways involved in CRC tumorigenesis that include mainly Wnt and MAPK pathways together with MSI and gut microbiota. Methods: Twenty four CRC patients were enrolled in the study. Cancer hotspot V2 panel was tested using targeted NGS on MiSeqDx device in addition to MSI identification, also gut microbiota was detected using conventional techniques. Patients received FOLFOX regimen in addition to Xeloda especially in early stages. Results: Non-synonymous genetic variants were detected inTP53, PIK3CA, KDR, KIT, APC, FGFR3 and MET. Twelve patients (50%) had MSI-LO, 25% had MSI-HI and 20.8% were MSS. Missense mutations in PIK3CA, TP53, and KDR were identified in 2, 3, and 2 patients with MSI-HI status, respectively. In MSI-LO, missense alterations in PIK3CA, TP53, KIT, and KDR were detected in (6, 11, 3, 2 cases, respectively). More than 50% of examined patients revealed mixed GIT flora, 18.8% of patients had E. Coli, 12.5% of patients showed Klebsiella spp. and only 6.3 % of patient revealed Proteus spp. H. pylori antigen was detected in 37.5%of patients and Blastocystis hominis cysts in only 4 patients. Conclusion: CRC genetic mutational statuses as well as contributing environmental stress factors such as gut microbiota dysbiosis are prognostically crucial, associated with high risk potential of gene-environment interactions based on machine learning. Keywords: Activating mutations; Colorectal cancer; Gut microbiota & protists infections; Microsatellite instability; Next generation sequencing.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。