» Articles » PMID: 28522907

Droplet Digital PCR for Quantification of in a Stool MRNA Assay for the Detection of Colorectal Cancers

Overview
Specialty Gastroenterology
Date 2017 May 20
PMID 28522907
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

Aim: To investigate the use of droplet digital polymerase chain reaction (ddPCR) for detecting host mRNA markers in stools as a non-invasive test for colorectal cancer screening.

Methods: ddPCR and quantitative PCR were compared side by side for their performance in the detection of and transcripts in stool samples obtained from patients with various types of colorectal lesions (advanced adenomas and stage II-IV colorectal cancers) and control (patients displaying no pathological findings) using duplex TaqMan reactions for both methods. and were chosen for this proof-of-concept study based on their relative medium and low abundance in stool samples, respectively, as established in a previous study.

Results: We found that the ddPCR and qPCR methods performed equally well in this TaqMan duplex assay for the detection of and transcripts in stools of patients with colorectal lesions. For , receiver operating characteristic (ROC) curve analysis showed comparable areas under the curve of 0.91 ( < 0.0001) and 0.89-0.90 ( < 0.0001) for the prediction of advanced adenomas and colorectal cancers, respectively. , which was detected at very low levels in control patients, was found to be significantly elevated (over 40 times) in stage II and III colorectal cancers ( < 0.0002). Comparison of the two sets of data revealed a strong correlation of the copy numbers obtained by ddPCR and qPCR for both and .

Conclusion: We found that and detection in stools of patients with colorectal cancers with ddPCR is comparable to that of qPCR using TaqMan assays.

Citing Articles

Development of a droplet digital PCR method for the detection of .

Zhou Y, Zhao Y, Chen Y, Luo H, Zhou Y, Gu B Pract Lab Med. 2025; 43():e00443.

PMID: 39839815 PMC: 11743552. DOI: 10.1016/j.plabm.2024.e00443.


Selection of optimal extraction and RT-PCR protocols for stool RNA detection of colorectal cancer associated immune genes.

Omran T, Madso I, Saether P, Bemanian V, Tunsjo H Sci Rep. 2024; 14(1):27468.

PMID: 39523395 PMC: 11551167. DOI: 10.1038/s41598-024-78680-0.


Current Research on Molecular Biomarkers for Colorectal Cancer in Stool Samples.

Ordenes P, Carril Pardo C, Elizondo-Vega R, Oyarce K Biology (Basel). 2024; 13(1).

PMID: 38248446 PMC: 10813333. DOI: 10.3390/biology13010015.


Regulation and Functions of α6-Integrin (CD49f) in Cancer Biology.

Khademi R, Malekzadeh H, Bahrami S, Saki N, Khademi R, Villa-Diaz L Cancers (Basel). 2023; 15(13).

PMID: 37444576 PMC: 10341356. DOI: 10.3390/cancers15133466.


Molecular methods for colorectal cancer screening: Progress with next-generation sequencing evolution.

Abbes S, Baldi S, Sellami H, Amedei A, Keskes L World J Gastrointest Oncol. 2023; 15(3):425-442.

PMID: 37009313 PMC: 10052664. DOI: 10.4251/wjgo.v15.i3.425.


References
1.
Imperiale T, Ransohoff D, Itzkowitz S . Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014; 371(2):187-8. DOI: 10.1056/NEJMc1405215. View

2.
Cao L, Cui X, Hu J, Li Z, Choi J, Yang Q . Advances in digital polymerase chain reaction (dPCR) and its emerging biomedical applications. Biosens Bioelectron. 2016; 90:459-474. DOI: 10.1016/j.bios.2016.09.082. View

3.
Campomenosi P, Gini E, Noonan D, Poli A, DAntona P, Rotolo N . A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer. BMC Biotechnol. 2016; 16(1):60. PMC: 4991011. DOI: 10.1186/s12896-016-0292-7. View

4.
Koga Y, Yasunaga M, Katayose S, Moriya Y, Akasu T, Fujita S . Improved recovery of exfoliated colonocytes from feces using newly developed immunomagnetic beads. Gastroenterol Res Pract. 2009; 2008:605273. PMC: 2606972. DOI: 10.1155/2008/605273. View

5.
Tajadini M, Panjehpour M, Javanmard S . Comparison of SYBR Green and TaqMan methods in quantitative real-time polymerase chain reaction analysis of four adenosine receptor subtypes. Adv Biomed Res. 2014; 3:85. PMC: 3988599. DOI: 10.4103/2277-9175.127998. View