Genomics and proteomics: Emerging technologies in clinical cancer research

Christine H. Chung, Shawn Levy, Pierre Chaurand, David P. Carbone

Research output: Contribution to journalArticlepeer-review

Abstract

Fueled by the complete genomic data acquired from the human genome project and the desperate clinical need of comprehensive analytical tools to study a heterogeneous disease like cancer, genomic and proteomic technologies have evolved rapidly, accelerating the rate and number of discoveries in clinical cancer research. These discoveries include mechanistic understanding of cancer biology as well as the identification of biomarkers supporting early detection, molecular classification of tumors, molecular predictors of metastasis, treatment response, and prognosis. While the technical advances have been significant, clinical researchers and practicing physicians are now confronted with the challenges of understanding technically and statistically complex data sets, translating this complex information to fit clinical contexts and incorporating it into clinical studies. In this review, we will summarize the available technologies and associated bioinformatics, discuss studies that are clinically relevant, and discuss the limitations we are still facing. We will present a framework for future directions of these technologies and how we believe they should be applied in clinical studies.

Original languageEnglish (US)
Pages (from-to)1-25
Number of pages25
JournalCritical Reviews in Oncology/Hematology
Volume61
Issue number1
DOIs
StatePublished - Jan 2007
Externally publishedYes

Keywords

  • Biomarker
  • Genomics
  • Proteomics

ASJC Scopus subject areas

  • Cancer Research
  • Hematology
  • Oncology

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