The Pap Smear Challenge: Comparing Clinical Performance of a Novel "Molecular Pap" Based on Next-Generation Sequencing to Traditional Cervical Cancer Screening

Abstract

The Molecular Pap is an integrated panel of biomarkers based on Human Papillomavirus (HPV) deep sequencing and quantitative DNA methylation of 3 human genes by pyrosequencing. To validate our biomarker panel and predictive model for Pap smear classification, we proposed to collect 700 Pap smear samples from each of 6 diagnostic categories for HPV genotyping and methylation quantification for direct comparison to traditional cervical cancer screening (cytology +/- cobas(registered trademark)HPV). Methods: This prospective, cross-sectional study uses residual liquid-based cytology samples for HPV genotyping and epigenetic analysis by pyrosequencing. A total of 3,037 Pap samples have been collected to date and have undergone various stages of DNA extraction, HPV DNA amplification, Sanger and deep sequencing, and bioinformatics analysis. Results: NA. Study is on-going. Accomplishments (Year 2): Pap sample collection has reached 80 percent of target accrual and molecular analyses are in-progress. Six contracts for supplies, software, cloud-based bioinformatics, and taxonomic profiling have been awarded. The development of a real-world, automated, data science pipeline for multiple types of genomics data has been initiated.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2019
Accession Number
AD1094124

Entities

People

  • Jane Shen-Gunther

Tags

DTIC Thesaurus Topics

  • Biological Markers
  • Biomedical Information Systems
  • Cancer
  • Cancer Screening
  • Cervical Cancers
  • Computational Biology
  • Contracts
  • Data Analysis
  • Data Science
  • Genomics
  • Information Science
  • Neoplasms
  • Papillomavirus Infections
  • Predictive Analytics
  • Predictive Modeling
  • Statistical Analysis
  • Technology Transfer

Readers

  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML