Dublin Core
Title
Comparison Test of Sensitivity Between Next Generation Sequencing (NGS) Hotspot Panel
and Droplet Digital PCR of KRAS G12 / G13 Mutation
and Droplet Digital PCR of KRAS G12 / G13 Mutation
Abstract
Cancer is an abnormal proliferation of cells that is characterized by the
presence of genomic alterations including DNA mutations, deletions, insertions,
translocations, inversions, and others. KRAS gene is one of the most mutated
genes across different cancer types. The most common mutations in KRAS are
found in codons 12 and 13 of KRAS protein, which are associated with a lack of
response to anti- epidermal growth factor receptor (EGFR) antibody therapy. This
study assessed and compared the performance between two diagnostic methods:
droplet digital PCR (ddPCR) and next generation sequencing (NGS). The main
goal was to determine KRAS G12 / G13 mutant allele fraction using NGS and to
compare the accuracy toddPCR. A total of 28 samples of non – small cell lung
cancer (NSCLC) and colorectal cancer (CRC) were analyzed using ddPCR and
NGS methods. Our results show that even though both methods exhibited high
rate of concordance and correlation, the study proved that ddPCR is more
superior when it comes to detecting low frequency mutations. Even though strong
correlation was observed, based on the values obtained, we concluded that ddPCR
is more accurate, reliable, and sensitive in comparison with NGS.
presence of genomic alterations including DNA mutations, deletions, insertions,
translocations, inversions, and others. KRAS gene is one of the most mutated
genes across different cancer types. The most common mutations in KRAS are
found in codons 12 and 13 of KRAS protein, which are associated with a lack of
response to anti- epidermal growth factor receptor (EGFR) antibody therapy. This
study assessed and compared the performance between two diagnostic methods:
droplet digital PCR (ddPCR) and next generation sequencing (NGS). The main
goal was to determine KRAS G12 / G13 mutant allele fraction using NGS and to
compare the accuracy toddPCR. A total of 28 samples of non – small cell lung
cancer (NSCLC) and colorectal cancer (CRC) were analyzed using ddPCR and
NGS methods. Our results show that even though both methods exhibited high
rate of concordance and correlation, the study proved that ddPCR is more
superior when it comes to detecting low frequency mutations. Even though strong
correlation was observed, based on the values obtained, we concluded that ddPCR
is more accurate, reliable, and sensitive in comparison with NGS.
Keywords
ddPCR, KRAS mutation, NGS.
Identifier
ISSN 2637-2835 (Print)
DOI
10.14706/JONSAE2022413
Publisher
International Burch University
Type
Original research