TY - JOUR
T1 - Gene expression profiles as predictors of poor outcomes in stage ii colorectal cancer
T2 - A systematic review and meta-analysis
AU - Lu, An Ting
AU - Salpeter, Shelley R.
AU - Reeve, Anthony E.
AU - Eschrich, Steven
AU - Johnston, Patrick G.
AU - Barrier, Alain J.
AU - Bertucci, Francois
AU - Buckley, Nicholas S.
AU - Salpeter, Edwin E.
AU - Lin, Albert Y.
PY - 2009/10/1
Y1 - 2009/10/1
N2 - Purpose: The use of adjuvant therapy in stage II colorectal cancer (CRC) remains controversial. There is a need to identify more effective predictors than the traditional staging system to aid therapeutic decision-making. We performed a systematic review and meta-analysis of gene expression profiles (GEPs) to assess their utility for risk stratification and prediction of poor outcomes in stage II CRC. Patients and Methods: We performed a comprehensive literature search through December 2007. Studies were included if they reported GEP-based assays in patients with stage II CRC, and either subsequent cancer recurrence or death within 3 years. The prognostic likelihood ratio (LR) and odds ratio (OR) were calculated with 95% confidence intervals and pooled using the fixed-effects method. The weighted average sensitivity, specificity, and accuracy were also reported. Results: Eight cohorts involving 271 patients contributed to the analysis. The average accuracy, sensitivity, and specificity were 81.9%, 76.2%, and 84.5%, respectively, with a prognostic LR of 4.7 (95% CI, 3.2-6.8) and a prognostic OR of 15.1 (95% CI, 7.9-28.6). No evidence for significant interstudy heterogeneity was noted in either analysis. Subgroup analysis found no difference in results for the prediction of cancer recurrence or death. Conclusion: This analysis demonstrates the promising potential of using GEP assays as predictors of poor outcomes in stage II CRC, such as cancer recurrence or death. To maximize their utility and availability, further studies will be needed to identify and validate specific gene signatures for poor prognosis in stage II CRC.
AB - Purpose: The use of adjuvant therapy in stage II colorectal cancer (CRC) remains controversial. There is a need to identify more effective predictors than the traditional staging system to aid therapeutic decision-making. We performed a systematic review and meta-analysis of gene expression profiles (GEPs) to assess their utility for risk stratification and prediction of poor outcomes in stage II CRC. Patients and Methods: We performed a comprehensive literature search through December 2007. Studies were included if they reported GEP-based assays in patients with stage II CRC, and either subsequent cancer recurrence or death within 3 years. The prognostic likelihood ratio (LR) and odds ratio (OR) were calculated with 95% confidence intervals and pooled using the fixed-effects method. The weighted average sensitivity, specificity, and accuracy were also reported. Results: Eight cohorts involving 271 patients contributed to the analysis. The average accuracy, sensitivity, and specificity were 81.9%, 76.2%, and 84.5%, respectively, with a prognostic LR of 4.7 (95% CI, 3.2-6.8) and a prognostic OR of 15.1 (95% CI, 7.9-28.6). No evidence for significant interstudy heterogeneity was noted in either analysis. Subgroup analysis found no difference in results for the prediction of cancer recurrence or death. Conclusion: This analysis demonstrates the promising potential of using GEP assays as predictors of poor outcomes in stage II CRC, such as cancer recurrence or death. To maximize their utility and availability, further studies will be needed to identify and validate specific gene signatures for poor prognosis in stage II CRC.
KW - DNA microarray
KW - Gene signature
KW - Likelihood ratio
KW - Prognosis prediction
UR - http://www.scopus.com/inward/record.url?scp=70350148373&partnerID=8YFLogxK
U2 - 10.3816/CCC.2009.n.035
DO - 10.3816/CCC.2009.n.035
M3 - Article
C2 - 19822511
AN - SCOPUS:70350148373
SN - 1533-0028
VL - 8
SP - 207
EP - 214
JO - Clinical Colorectal Cancer
JF - Clinical Colorectal Cancer
IS - 4
ER -