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Accuracy and Clinical Relevance of Intra-Tumoral Fusobacterium nucleatum Detection in Formalin-Fixed Paraffin-Embedded (FFPE) Tissue by Droplet Digital PCR (ddPCR) in Colorectal Cancer
The use of droplet digital PCR (ddPCR) to identify and quantify low-abundance targets is a significant advantage for accurately detecting potentially oncogenic bacteria. ( ) is implicated in colorectal cancer (CRC) tumorigenesis and is becoming an important prognostic biomarker. We evaluated the det...
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Published in: | Diagnostics (Basel) 2022-01, Vol.12 (1), p.114 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The use of droplet digital PCR (ddPCR) to identify and quantify low-abundance targets is a significant advantage for accurately detecting potentially oncogenic bacteria.
(
) is implicated in colorectal cancer (CRC) tumorigenesis and is becoming an important prognostic biomarker. We evaluated the detection accuracy and clinical relevance of Fn DNA by ddPCR in a molecularly characterized, formalin-fixed, paraffin-embedded (FFPE) CRC cohort previously analyzed by qPCR for
levels. Following a ddPCR assay optimization and an analytical evaluation,
DNA were measured in 139 CRC FFPE cases. The measures of accuracy for
status compared to the prior results generated by qPCR and the association with clinicopathological and molecular patients' features were also evaluated. The ddPCR-based
assay was sensitive and specific to positive controls.
DNA were detected in 20.1% of cases and further classified as
-high and
-low/negative, according to the median amount of
DNA that were detected in all cases and associated with the patient's worst prognosis. There was a low agreement between the
status determined by ddPCR and qPCR (Cohen's Kappa = 0.210). Our findings show that ddPCR can detect and quantify
in FFPE tumor tissues and highlights its clinical relevance in
detection in a routine CRC setting. |
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ISSN: | 2075-4418 2075-4418 |
DOI: | 10.3390/diagnostics12010114 |