A novel KRAS exon 2 drop-off digital PCR assay for mutation detection in cell-free DNA of cancer patients.
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BORIS DOI
Date of Publication
May 24, 2025
Publication Type
Article
Division/Institute
Author
Addamo-De Nard, Bianca | |
Geissmann, Meret | |
Pistoni, Clelia | |
Brezina, Tomas | |
Zoche, Martin | |
Hussung, Saskia | |
Fritsch, Ralph |
Subject(s)
Series
Diagnostic Pathology
ISSN or ISBN (if monograph)
1746-1596
Publisher
BioMed Central
Language
English
Publisher DOI
PubMed ID
40413426
Description
Background
KRAS exon 2 mutations are highly prevalent in human malignancies, making them attractive targets for detection and monitoring in cell-free DNA (cfDNA) of cancer patients. Drop-off assays designed for digital polymerase chain reaction (ddPCR drop-off) span entire mutational hotspots and detect any mutated allele within the covered region, overcoming a major limitation of mutation-specific ddPCR assays. We therefore set out to develop a novel KRAS codon 12/13 ddPCR drop-off assay for the robust, highly sensitive and specific detection of KRAS exon 2 hotspot mutations in cfDNA.Methods
We designed, optimized and extensively validated a KRAS codon 12/13 ddPCR drop-off assay. We compared assay performance to a commercially available KRAS multiplex assay. For clinical validation, we analyzed plasma samples collected from patients with KRAS-mutated gastrointestinal malignancies.Results
Limit of detection of the newly established ddPCR drop-off assay was 0.57 copies/µL, limit of blank was 0.13 copies/µ. The inter-assay precision (r2) was 0.9096. Our newly developed KRAS ddPCR drop-off assay accurately identified single nucleotide variants in 35/36 (97.2%) of circulating tumor DNA-positive samples from the patient validation cohort. Assay cross-validation showed that the newly established KRAS codon 12/13 ddPCR drop-off assay outperformed a commercially available KRAS multiplex ddPCR assay in terms of specificity. Moreover, the newly developed assay proved to be suitable for multiplexing with mutation-specific probes.Conclusion
We developed and clinically validated a highly accurate ddPCR drop-off assay for KRAS exon 2 hot-spot detection in cfDNA with broad applicability for clinic and research.
KRAS exon 2 mutations are highly prevalent in human malignancies, making them attractive targets for detection and monitoring in cell-free DNA (cfDNA) of cancer patients. Drop-off assays designed for digital polymerase chain reaction (ddPCR drop-off) span entire mutational hotspots and detect any mutated allele within the covered region, overcoming a major limitation of mutation-specific ddPCR assays. We therefore set out to develop a novel KRAS codon 12/13 ddPCR drop-off assay for the robust, highly sensitive and specific detection of KRAS exon 2 hotspot mutations in cfDNA.Methods
We designed, optimized and extensively validated a KRAS codon 12/13 ddPCR drop-off assay. We compared assay performance to a commercially available KRAS multiplex assay. For clinical validation, we analyzed plasma samples collected from patients with KRAS-mutated gastrointestinal malignancies.Results
Limit of detection of the newly established ddPCR drop-off assay was 0.57 copies/µL, limit of blank was 0.13 copies/µ. The inter-assay precision (r2) was 0.9096. Our newly developed KRAS ddPCR drop-off assay accurately identified single nucleotide variants in 35/36 (97.2%) of circulating tumor DNA-positive samples from the patient validation cohort. Assay cross-validation showed that the newly established KRAS codon 12/13 ddPCR drop-off assay outperformed a commercially available KRAS multiplex ddPCR assay in terms of specificity. Moreover, the newly developed assay proved to be suitable for multiplexing with mutation-specific probes.Conclusion
We developed and clinically validated a highly accurate ddPCR drop-off assay for KRAS exon 2 hot-spot detection in cfDNA with broad applicability for clinic and research.
File(s)
File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
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s13000-025-01637-y.pdf | text | Adobe PDF | 4.21 MB | Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND 4.0) | published |