Article

Performance of an Optimized Methylation-Protein Multi-Cancer Early Detection (MCED) Test Classifier

2026-03-04

Abstract excerpt

Multi-cancer early detection (MCED) tests can detect several cancer types and stages. We previously developed a methylation and protein (MP V1) MCED classifier. In this study, we present a refined MP V2 classifier, developed by evaluating model architectures that improved performance in prospectively enrolled case-control cohorts under standard testing conditions. The newly developed MP V2 classifier was trained t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b069eafe-76ad-51f4-a4f5-4d1b64bfa9e7
DOI: 10.64898/2026.03.03.26347329

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Performance of an Optimized Methylation-Protein Multi-Cancer Early Detection (MCED) Test ClassifierDOI 10.64898/2026.03.03.26347329Read

Performance of a multi-target, multi-cancer early detection (MCED) blood test in a prospectively collected cohortSemantic proximity Read

CancerSpot: A multi-cancer early detection test developed and validated on a retrospective cohortSemantic proximity Read

Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNASemantic proximity Read

Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I)Semantic proximity Read

Accurate prediction of pan-cancer types using machine learning with minimal number of DNA methylation sitesSemantic proximity Read

CancerNet: a unified deep learning network for pan-cancer diagnosticsSemantic proximity Read

Combination of Hotspot Mutations With Methylation and Fragmentomic Profiles to Enhance Multi-Cancer Early Detection.Semantic proximity Read

TOTEM: a multi-cancer detection and localization approach using circulating tumor DNA methylation markersSemantic proximity Read

Multicancer Early Detection Tests - Keeping a High Bar for Evidence of Benefit.Semantic proximity Read

Combination of hotspot mutations with methylation and fragmentomic profiles to enhance Multi-Cancer Early DetectionSemantic proximity Read

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait lociSemantic proximity Read

A multi-cancer detection test: focus on the positive predictive valueSemantic proximity Read