Multiplex Digital Polymerase Chain Reaction on a Droplet Array SlipChip for Analysis of KRAS Mutations in Pancreatic Cancer.
Qixin HuFariha KanwalWeiyuan LyuJiajie ZhangXu LiuKai QinFeng ShenPublished in: ACS sensors (2022)
Pancreatic cancer is a terminal disease with high mortality and very poor prognosis. A sensitive and quantitative analysis of KRAS mutations in pancreatic cancer provides a tool not only to understand the biological mechanisms of pancreatic cancer but also for diagnosis and treatment monitoring. Digital polymerase chain reaction (PCR) is a promising tool for KRAS mutation analysis, but current methods generally require a complex microfluidic handling system, which can be challenging to implement in routine research and point-of-care clinical diagnostics. Here, we present a droplet-array SlipChip (da-SlipChip) for the multiplex quantification of KRAS G12D, V, R, and C mutant genes with the wild-type (WT) gene background by dual color (FAM/ROX) fluorescence detection. This da-SlipChip is a high-density microwell array of 21,696 wells of 200 pL in 4 by 5424 microwell format with simple loading and slipping operation. It does not require the same precise alignment of microfeatures on the different plates that are acquired by the traditional digital PCR SlipChip. This device can provide accurate quantification of both mutant genes and the WT KRAS gene. We collected tumor tissue, paired normal pancreatic tissue, and other normal tissues from 18 pancreatic cancer patients and analyzed the mutation profiles of KRAS G12D, V, R, and C in these samples; the results from the multiplex digital PCR on da-SlipChip agree well with those of next-generation sequencing (NGS). This da-SlipChip moves digital PCR closer to the practical point-of-care applications not only for detecting KRAS mutations in pancreatic cancer but also for other applications that require precise nucleic acid quantification with high sensitivity.
Keyphrases
- wild type
- high throughput
- real time pcr
- high density
- poor prognosis
- genome wide
- high resolution
- single cell
- copy number
- genome wide identification
- long non coding rna
- gene expression
- cardiovascular events
- risk factors
- quantum dots
- genome wide analysis
- circulating tumor cells
- bioinformatics analysis
- loop mediated isothermal amplification
- sensitive detection