TY - JOUR
T1 - Quantification of rare somatic single nucleotide variants by droplet digital PCR using SuperSelective primers
AU - Pablo-Fontecha, Verónica
AU - Hernández-Illán, Eva
AU - Reparaz, Andrea
AU - Asensio, Elena
AU - Morata, Jordi
AU - Tonda, Raúl
AU - Lahoz, Sara
AU - Parra, Carolina
AU - Lozano, Juan José
AU - García-Heredia, Anabel
AU - Martínez-Roca, Alejandro
AU - Beltran i Agulló, Sergi
AU - Balaguer, Francesc
AU - Jover, Rodrigo
AU - Castells, Antoni
AU - Trullàs, Ramon
AU - Podlesniy, Petar
AU - Camps, Jordi
PY - 2023
Y1 - 2023
N2 - Somatic single-nucleotide variants (SNVs) occur every time a cell divides, appearing even in healthy tissues at low frequencies. These mutations may accumulate as neutral variants during aging, or eventually, promote the development of neoplasia. Here, we present the SP-ddPCR, a droplet digital PCR (ddPCR) based approach that utilizes customized SuperSelective primers aiming at quantifying the proportion of rare SNVs. For that purpose, we selected five potentially pathogenic variants identified by whole-exome sequencing (WES) occurring at low variant allele frequency (VAF) in at-risk colon healthy mucosa of patients diagnosed with colorectal cancer or advanced adenoma. Additionally, two APC SNVs detected in two cancer lesions were added to the study for WES-VAF validation. SuperSelective primers were designed to quantify SNVs at low VAFs both in silico and in clinical samples. In addition to the two APC SNVs in colonic lesions, SP-ddPCR confirmed the presence of three out of five selected SNVs in the normal colonic mucosa with allelic frequencies ≤ 5%. Moreover, SP-ddPCR showed the presence of two potentially pathogenic variants in the distal normal mucosa of patients with colorectal carcinoma. In summary, SP-ddPCR offers a rapid and feasible methodology to validate next-generation sequencing data and accurately quantify rare SNVs, thus providing a potential tool for diagnosis and stratification of at-risk patients based on their mutational profiling.
AB - Somatic single-nucleotide variants (SNVs) occur every time a cell divides, appearing even in healthy tissues at low frequencies. These mutations may accumulate as neutral variants during aging, or eventually, promote the development of neoplasia. Here, we present the SP-ddPCR, a droplet digital PCR (ddPCR) based approach that utilizes customized SuperSelective primers aiming at quantifying the proportion of rare SNVs. For that purpose, we selected five potentially pathogenic variants identified by whole-exome sequencing (WES) occurring at low variant allele frequency (VAF) in at-risk colon healthy mucosa of patients diagnosed with colorectal cancer or advanced adenoma. Additionally, two APC SNVs detected in two cancer lesions were added to the study for WES-VAF validation. SuperSelective primers were designed to quantify SNVs at low VAFs both in silico and in clinical samples. In addition to the two APC SNVs in colonic lesions, SP-ddPCR confirmed the presence of three out of five selected SNVs in the normal colonic mucosa with allelic frequencies ≤ 5%. Moreover, SP-ddPCR showed the presence of two potentially pathogenic variants in the distal normal mucosa of patients with colorectal carcinoma. In summary, SP-ddPCR offers a rapid and feasible methodology to validate next-generation sequencing data and accurately quantify rare SNVs, thus providing a potential tool for diagnosis and stratification of at-risk patients based on their mutational profiling.
KW - Genotyping and haplotyping
KW - PCR-based techniques
KW - Next-generation sequencing
KW - DNA sequencing
KW - Colorectal cancer
U2 - 10.1038/s41598-023-39874-0
DO - 10.1038/s41598-023-39874-0
M3 - Article
C2 - 37923774
SN - 2045-2322
VL - 13
JO - Scientific reports
JF - Scientific reports
ER -