Ultrasensitive Detection of Subclinical Lung Cancer by Statistical Analysis of Plasma cfDNA-Derived Whole-Genome Sequencing Data

Abstract

We hypothesized that an ultrasensitive test for cancer could be accomplished by analysis of whole-genome sequencing data generated from plasma-derived cell-free DNA (cfDNA). An ultrasensitive test for cancer monitoring is based on paired fingerprint analysis of a cancer sample from the patient. This fingerprint allows detection of cryptic subclinical cancer populations that would not be detectable by other means. W also develop statistical methods for unpaired detection of cancer, suitable for early-detection screening.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2019
Accession Number
AD1121728

Entities

People

  • Scott L. Carter

Organizations

  • Dana–Farber Cancer Institute

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alzheimer Disease
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Biomedical Research
  • Cancer
  • Cell Line
  • Data Analysis
  • Deep Learning
  • Department Of Defense
  • Detection
  • Experimental Design
  • Fingerprints
  • Genetics
  • Health Services
  • Identification
  • Information Science
  • Institutional Review Board
  • Lung Cancer
  • Machine Learning
  • Medical Personnel
  • Monitoring
  • Neoplasms
  • Neural Networks
  • Standards
  • Statistical Analysis
  • Therapy

Fields of Study

  • Biology

Readers

  • Molecular Genetics
  • Oncology and Biomarker-Based Cancer Detection.