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Microarray Approach Combined with DdPCR: An Useful Pipeline for the Detection and Quantification of Circulating Tumour Dna Mutations

Overview
Journal Cells
Publisher MDPI
Date 2019 Jul 27
PMID 31344983
Citations 9
Authors
Affiliations
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Abstract

It has now been established that in biological fluids such as blood, it is possible to detect cancer causing genomic alterations by analysing circulating tumour DNA (ctDNA). Information derived from ctDNA offers a unique opportunity to enrich our understanding of cancer biology, tumour evolution and therapeutic efficacy and resistance. Here, we propose a workflow to identify targeted mutations by a customized microarray-based assay for the simultaneous detection of single point mutations in different oncogenes ( and ) followed by droplet digital PCR (ddPCR) to determine the fractional abundance of the mutated allele. Genetic variants were determined in the plasma of 20 metastatic colorectal cancer (mCRC) patients previously genotyped on tissue biopsy at the diagnosis for medication planning (T0) and following the tumour genetic evolution during treatment phase (T1 and T2) with the objective of allowing therapy response prediction and monitoring. Our preliminary results show that this combined approach is suitable for routine clinical practice. The microarray platform enables for a rapid, specific and sensitive detection of the most common mutations suitable for high-throughput analysis without costly instrumentation while, the ddPCR, consents an absolute quantification of the mutated allele in a longitudinal observational study on patients undergoing targeted therapy.

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References
1.
Souglakos J, Philips J, Wang R, Marwah S, Silver M, Tzardi M . Prognostic and predictive value of common mutations for treatment response and survival in patients with metastatic colorectal cancer. Br J Cancer. 2009; 101(3):465-72. PMC: 2720232. DOI: 10.1038/sj.bjc.6605164. View

2.
DeStefanis R, Kratz J, Emmerich P, Deming D . Targeted Therapy in Metastatic Colorectal Cancer: Current Standards and Novel Agents in Review. Curr Colorectal Cancer Rep. 2019; 15(2):61-69. PMC: 6528813. DOI: 10.1007/s11888-019-00430-6. View

3.
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2014; 136(5):E359-86. DOI: 10.1002/ijc.29210. View

4.
Damin F, Galbiati S, Soriani N, Burgio V, Ronzoni M, Ferrari M . Analysis of KRAS, NRAS and BRAF mutational profile by combination of in-tube hybridization and universal tag-microarray in tumor tissue and plasma of colorectal cancer patients. PLoS One. 2018; 13(12):e0207876. PMC: 6298683. DOI: 10.1371/journal.pone.0207876. View

5.
Yiu A, Yiu C . Biomarkers in Colorectal Cancer. Anticancer Res. 2016; 36(3):1093-102. View