ABSTRACT
Identification of mutant genes in tumor tissues and blood plasma (solid and liquid biopsy samples, respectively) is a necessity for individualized treatment of cancer patients. Here we report the use of a novel mutant-enriched PCR - quantitative DNA melting curve analysis (mePCR-qDMA) with TaqMan probes. The TaqMan probes served as blocking agents during PCR and as hybridization probes during DNA melting curve analyses. The end-point measurement of melt peaks areas by PeakFit software, a nonlinear iterative curve-fitting program, permitted quantification of the mutant/wild-type allele ratios. Approximately 6% and 0.1% of mutant KRAS allele in an excess of wild-type allele is detected with the standard and mePCR-qDMA processes, respectively. The application of the approach was tested for detecting the KRAS codon 12/13 mutation in paired tumor and blood plasma samples from 20 colorectal cancer patients. KRAS mutants were detected in 7 and 18 FFPE tumor samples, and in 3 and 7 plasma samples by the standard and mePCR-qDMA process, respectively. The results were confirmed by Sanger sequencing. This simple, rapid, cost-effective, and quantitative method carried out in a closed-tube format could be applied for the clinical analyses of other cancer genes.
Subject(s)
Colorectal Neoplasms/genetics , DNA Mutational Analysis/methods , DNA, Neoplasm/blood , Polymerase Chain Reaction/methods , Proto-Oncogene Proteins p21(ras)/genetics , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , MutationABSTRACT
Background: Epidemics caused by the reemergence of Zika virus (ZIKV) warrant the need to develop new diagnostic measures to complement currently used detection methods. In this study, we explored the detection of ZIKV antigen in a defined leukocyte subset from patients' whole-blood specimens. Methods: Whole-blood samples were obtained at the acute and early convalescent phases from ZIKV-infected patients during the Singapore outbreak in August-September 2016. Presence of ZIKV antigen was determined by flow cytometry staining for intracellular ZIKV NS3, using a ZIKV-specific polyclonal antibody. The presence of ZIKV antigen was determined in CD45+CD14+ monocytes. Results: Data showed that ZIKV NS3 antigen could be detected in CD45+CD14+ monocytes. The levels of detection were further categorized into 3 groups: high (positivity among >40% of monocytes), moderate (positivity among 10%-40%), and low (positivity among <10%). While a majority of patients showed a decrease in the amount of ZIKV antigen detected at later time points, some patients displayed higher levels as the disease progressed. Conclusions: Our data highlights an alternative approach in using flow cytometry as a sensitive method for detecting ZIKV antigen in whole blood. Importantly, it further confirms the role of CD14+ monocytes as an important cellular target for ZIKV infection during the viremic phase.
