Back to Search
Start Over
Evaluation of three advanced methodologies, COLD-PCR, microarray and ddPCR, for identifying the mutational status by liquid biopsies in metastatic colorectal cancer patients.
- Source :
-
Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2019 Feb; Vol. 489, pp. 136-143. Date of Electronic Publication: 2018 Dec 12. - Publication Year :
- 2019
-
Abstract
- A major effort has been focused on the detection of oncogenes' mutations in diverse types of clinical specimens including formalin-fixed and paraffin embedded tissues, presently the gold-standard samples, up to plasma, that constitute a noninvasive alternative source of tumor DNA. The reliable detection of mutations in circulating tumor DNA requires a high analytical sensitivity. Here, we applied three different highly sensitive methodologies (COLD-PCR, a microarray-based approach and the droplet digital PCR, ddPCR) to identify mutations in the plasma of 30 metastatic colorectal cancer patients previously genotyped on tissue biopsy. The methods showed a modest concordance rate with respect to the results obtained on tissue biopsies: 63.3% by ddPCR, 63% by microarray and 55.6% by COLD-PCR. This could be ascribed either to the different timing between tissue and liquid biopsy collection, which could reflect a different stage of disease progression or to the diverse sensitivity of the methodologies applied. Indeed, if we compare the results obtained on plasma samples, the concordance rates were higher especially by comparing ddPCR versus COLD-PCR (92.6%). Thus, we consider both methodologies as useful procedures easily transferable in a clinical setting. Notably, the ddPCR allows a quantitative assessment of the fractional abundance of the mutation.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-3492
- Volume :
- 489
- Database :
- MEDLINE
- Journal :
- Clinica chimica acta; international journal of clinical chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 30550935
- Full Text :
- https://doi.org/10.1016/j.cca.2018.12.004