» Articles » PMID: 29122835

Multiple Hotspot Mutations Scanning by Single Droplet Digital PCR

Abstract

Background: Progress in the liquid biopsy field, combined with the development of droplet digital PCR (ddPCR), has enabled noninvasive monitoring of mutations with high detection accuracy. However, current assays detect a restricted number of mutations per reaction. ddPCR is a recognized method for detecting alterations previously characterized in tumor tissues, but its use as a discovery tool when the mutation is unknown remains limited.

Methods: We established 2 ddPCR assays detecting all genomic alterations within exon 2 and exon 19 mutation hotspots, which are of clinical importance in colorectal and lung cancer, with use of a unique pair of TaqMan oligoprobes. The assay scanned for the 7 most common mutations in codons 12/13 but also all other mutations found in that region. The assay screened for all in-frame deletions of exon 19, which are frequent EGFR-activating events.

Results: The and assays were highly specific and both reached a limit of detection of <0.1% in mutant allele frequency. We further validated their performance on multiple plasma and formalin-fixed and paraffin-embedded tumor samples harboring a panel of different or mutations.

Conclusions: This method presents the advantage of detecting a higher number of mutations with single-reaction ddPCRs while consuming a minimum of patient sample. This is particularly useful in the context of liquid biopsy because the amount of circulating tumor DNA is often low. This method should be useful as a discovery tool when the tumor tissue is unavailable or to monitor disease during therapy.

Citing Articles

Performance of a Rapid Digital PCR Test for the Detection of Non-Small Cell Lung Cancer (NSCLC) Variants.

Al Mana A, Culp K, Keeler A, Perrera O, Rajagopalan M, Jacky L Mol Diagn Ther. 2024; 28(6):791-802.

PMID: 39093547 DOI: 10.1007/s40291-024-00732-y.


Highly Sensitive Detection of PIK3CA Mutations by Looping-Out Probes-Based Melting Curve Analysis.

Xu B, Lan Y, Luo D, Zheng Y, Ni R, Su G Biochem Genet. 2023; 62(1):77-94.

PMID: 37249716 DOI: 10.1007/s10528-023-10408-7.


Quantification of Isoniazid-Heteroresistant Mycobacterium tuberculosis Using Droplet Digital PCR.

Zhang S, Chen X, Lin Z, Tan Y, Liang B, Pan Y J Clin Microbiol. 2023; 61(6):e0188422.

PMID: 37195177 PMC: 10281145. DOI: 10.1128/jcm.01884-22.


Preoperative Mutational Analysis of Circulating Tumor Cells (CTCs) and Plasma-cfDNA Provides Complementary Information for Early Prediction of Relapse: A Pilot Study in Early-Stage Non-Small Cell Lung Cancer.

Markou A, Londra D, Stergiopoulou D, Vamvakaris I, Potaris K, Pateras I Cancers (Basel). 2023; 15(6).

PMID: 36980762 PMC: 10047138. DOI: 10.3390/cancers15061877.


Advances in optical counting and imaging of micro/nano single-entity reactors for biomolecular analysis.

Fan W, Ren W, Liu C Anal Bioanal Chem. 2022; 415(1):97-117.

PMID: 36322160 PMC: 9628437. DOI: 10.1007/s00216-022-04395-8.