Development of a Prognostic Marker for Lung Cancer Using Analysis of Tumor Evolution

Abstract

The goal of this project is to sequence the exomes of single tumor cells from tumors in order to construct evolutionary trees, the characteristics of which will be used to predict whether a tumor will metastasize or not. In the last project period, we have optimized tumor dissociation, tumor cell isolation, whole genome amplification, and exome sequencing. We have begun to sequence the exomes of single cells and to construct phylogenetic trees from the sequencing data. A sequencing pipeline has been established in order to obtain sufficient data with which to derive a prognostic classifier.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2017
Accession Number
AD1044980

Entities

People

  • Edward Jr F. Patz

Organizations

  • Duke University

Tags

DTIC Thesaurus Topics

  • Amplification
  • Best Practices
  • Biomedical Research
  • Cancer
  • Cell Line
  • Cells
  • Contracts
  • Diseases And Disorders
  • Dissociation
  • Flight Training
  • Genetics
  • Lung Cancer
  • Machine Learning
  • Neoplasms
  • Personal Information Managers
  • Sequences
  • Standards

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Neural Network Machine Learning.