Mutational and DNA fragment analysis may help in the triage of FIT+ patients enrolled in colorectal cancer screening programs.

Authors

null

Mauro Scimia

DiaCarta Inc, Pleasanton, CA

Mauro Scimia , Francesco Pepe , Gianluca Russo , Umberto Malapelle , Hiromi Tanaka , Simone Scimia , Giancarlo Troncone , Maria Antonia Bianco

Organizations

DiaCarta Inc, Pleasanton, CA, Department of Public Health, University of Naples Federico II, Naples, Italy, Department of Public Health,University of Naples Federico II, Naples, Italy, DiaCarta Inc, Pleasantron, CA, DiaCarta Inc., Pleasanton, CA, ASL NA 3 SUD, Maresca Hospital, Torre del Greco, Naples, Italy

Research Funding

Other
DiaCarta Inc

* F. Pepe made an equal contribution

Background: Mutational and DNA fragment analysis have already been investigated for a possible role in the detection of colorectal cancer. This pilot study, conducted at ASL NA 3 SUD (Naples, Italy) with the University of Naples Federico II, attempts to understand their possible role in the detection of Advanced Adenomas+ (AA+) and their potential ability to triage subjects with a positive FIT test for referral to colonoscopy. Methods: 160 FIT+ subjects of both genders, aged 50-74, participating in a colorectal cancer screening program were enrolled in a clinical trial focusing on a novel biomarker for colorectal cancer diagnostics. Of these, 14 subjects had disease (12 AAs and 2 colorectal cancers, from now on “CRC”). After ethical committee’s approval and release of informed consents, a 20 ml whole-blood sample was collected from each subject. Samples were centrifuged following standard procedures and stored at -80°C. DNA extraction was later performed using a Minielute kit (Qiagen). Mutational and DNA fragment analysis were performed using a qPCR-based technology: the ColoScape™ 2.5 kit (DiaCarta Inc, Pleasanton, CA). A logistic regression was run to determine the probability of disease in subjects showing positivity for predictors. Estimates of sensitivity, specificity, PPV, NPV (with 95% C.I.), PLR, NLR and Youden’s Index were also obtained. Results: The logistic regression showed statistical significance, with a p-value < 0.0001, that is, the logistic regression model with provides a better fit than the model without the independent variable. ColoScape identified 12 subjects with disease out of 14, for a sensitivity of 86% (67%,100%); both CRCs were picked up by ColoScape together with 10 AAs. 2 AAs were missed. Out of 146 healthy subjects, 107 were successfully identified as negatives, for a specificity of 73% (66%, 80%). PPV was 24% (12%, 35%). NPV was 98% (96%, 100%). PLR, NLR and Youden’s Index were 3.21, 0.19 and 0.59 respectively. Conclusions: This pilot study was intended to provide performance indicators to design a larger population study that is currently underway. These preliminary findings suggest that liquid biopsy-based mutational and DNA fragment analysis can play a role in selecting subjects with a higher risk of returning a positive colonoscopy, thus potentially improving the quality of colorectal cancer screening programs and patients’ experience.

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Gastrointestinal Cancer—Colorectal and Anal

Track

Gastrointestinal Cancer—Colorectal and Anal

Sub Track

Epidemiology/Outcomes

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e15546)

DOI

10.1200/JCO.2023.41.16_suppl.e15546

Abstract #

e15546

Abstract Disclosures

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