TY - JOUR
T1 - Genomics and proteomics
T2 - Emerging technologies in clinical cancer research
AU - Chung, Christine H.
AU - Levy, Shawn
AU - Chaurand, Pierre
AU - Carbone, David P.
PY - 2007/1
Y1 - 2007/1
N2 - 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.
AB - 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.
KW - Biomarker
KW - Genomics
KW - Proteomics
UR - http://www.scopus.com/inward/record.url?scp=33845337658&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33845337658&partnerID=8YFLogxK
U2 - 10.1016/j.critrevonc.2006.06.005
DO - 10.1016/j.critrevonc.2006.06.005
M3 - Article
C2 - 17015021
AN - SCOPUS:33845337658
SN - 1040-8428
VL - 61
SP - 1
EP - 25
JO - Critical Reviews in Oncology/Hematology
JF - Critical Reviews in Oncology/Hematology
IS - 1
ER -