1. Non-invasive multi-cancer detection using DNA hypomethylation of LINE-1 retrotransposons.
- Author
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Michel M, Heidary M, Mechri A, Da Silva K, Gorse M, Dixon V, von Grafenstein K, Bianchi C, Hego C, Rampanou A, Lamy C, Kamal M, Le Tourneau C, Séné M, Bieche I, Reyes C, Gentien D, Stern MH, Lantz O, Cabel L, Pierga JY, Bidard FC, Azencott CA, and Proudhon C
- Abstract
Purpose: The detection of circulating tumor DNA, which allows non-invasive tumor molecular profiling and disease follow-up, promises optimal and individualized management of patients with cancer. However, detecting small fractions of tumor DNA released when the tumor burden is reduced remains a challenge., Experimental Design: We implemented a new highly sensitive strategy to detect base-pair resolution methylation patterns from plasma DNA and assessed the potential of hypomethylation of LINE-1 retrotransposons as a non-invasive multi-cancer detection biomarker. The DIAMOND (Detection of Long Interspersed Nuclear Element Altered Methylation ON plasma DNA) method targets 30-40,000 young L1 scattered throughout the genome, covering about 100,000 CpG sites and is based on a reference-free analysis pipeline., Results: Resulting machine learning-based classifiers showed powerful correct classification rates discriminating healthy and tumor plasmas from 6 types of cancers (colorectal, breast, lung, ovarian, gastric cancers and uveal melanoma including localized stages) in two independent cohorts (AUC = 88% to 100%, N = 747). DIAMOND can also be used to perform copy number alterations (CNA) analysis which improves cancer detection., Conclusions: This should lead to the development of more efficient non-invasive diagnostic tests adapted to all cancer patients, based on the universality of these factors.
- Published
- 2024
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