Detail

Description

Expression Detail
Experiment ID:
EXP00246
Reference:
  • Title: Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis.
  • Author: Zhang JX, Song W, Chen ZH, Wei JH, Liao YJ, Lei J, Hu M, Chen GZ, Liao B, Lu J, Zhao HW, Chen W, He YL, Wang HY, Xie D, Luo JH
  • Journal: The Lancet. Oncology.2013 Dec ;14(13):1295-306.doi:10.1016/S1470-2045(13)70491-1.
  • Abstract: Current staging methods do not accurately predict the risk of disease recurrence and benefit of adjuvant chemotherapy for patients who have had surgery for stage II colon cancer. We postulated that expression patterns of multiple microRNAs (miRNAs) could, if combined into a single model, improve postoperative risk stratification and prediction of chemotherapy benefit for these patients., "Using miRNA microarrays, we analysed 40 paired stage II colon cancer tumours and adjacent normal mucosa tissues, and identified 35 miRNAs that were differentially expressed between tumours and normal tissue. Using paraffin-embedded specimens from a further 138 patients with stage II colon cancer, we confirmed differential expression of these miRNAs using qRT-PCR. We then built a six-miRNA-based classifier using the LASSO Cox regression model, based on the association between the expression of every miRNA and the duration of individual patients disease-free survival. We validated the prognostic and predictive accuracy of this classifier in both the internal testing group of 138 patients, and an external independent group of 460 patients.", Using the LASSO model, we built a classifier based on the six miRNAs: miR-21-5p, miR-20a-5p, miR-103a-3p, miR-106b-5p, miR-143-5p, and miR-215. Using this tool, we were able to classify patients between those at high risk of disease progression (high-risk group), and those at low risk of disease progression (low-risk group). Disease-free survival was significantly different between these groups in every set of patients. In the initial training group of patients, 5-year disease-free survival was 89% (95% CI 77·3-94·4) for the low-risk group, and 60% (46·3-71·0) for the high-risk group (hazard ratio HR 4·24, 95% CI 2·13-8·47; p<0·0001). In the internal testing set of patients, 5-year disease-free survival was 85% (95% CI 74·3-91·8) for the low-risk group, and 57% (42·8-68·5) for the high-risk group (HR 3·63, 1·86-7·01; p<0·0001), and in the independent validation set of patients, was 85% (79·6-89·0) for the low-risk group and 54% (46·4-61·1) for the high-risk group (HR 3·70, 2·56-5·35; p<0·0001). The six-miRNA-based classifier was an independent prognostic factor for, and had better prognostic value than, clinicopathological risk factors and mismatch repair status. In an ad-hoc analysis, the patients in the high-risk group were found to have a favourable response to adjuvant chemotherapy (HR 1·69, 1·17-2·45; p=0·0054). We developed two nomograms for clinical use that integrated the six-miRNA-based classifier and four clinicopathological risk factors to predict which patients might benefit from adjuvant chemotherapy after surgery for stage II colon cancer., Our six-miRNA-based classifier is a reliable prognostic and predictive tool for disease recurrence in patients with stage II colon cancer, and might be able to predict which patients benefit from adjuvant chemotherapy. It might facilitate patient counselling and individualise management of patients with this disease., Natural Science Foundation of China.
  • PMID: 24239208
Expression Profile:
  • Description:The prognostic and predictive value of a six-microRNA-based classifier in stage II colon cancer
  • Organism:Homo sapiens
  • Source:GEO
  • Source ID:GSE49246
  • Platform: GPL17496
  • Number of samples:80
  • Overall design:40 paired tumor and adjacent normal tissues of stage Ⅱ colon caner
  • Instrument:Sun Yat-Sen University Cancer Center Human microRNA array
Design and Sample:
  • Cancer Type:colon cancer
  • Cancer SubType:colon cancer stage 2
  • Cell Line:N/A
  • Experimental Design:cancer vs normal
  • Case Sample:colon cancer stage 2
  • Control Sample:normal colon
  • Num of Case:40
  • Num of Control:40
  • Quantification Software:Limma
  • Num of miRNAs:1849
Identification:
  • Num of Up:407
  • Num of Down:437
Time Info:
  • Create Time2016-03-14
  • Update Time:2021-05-27

Differentially Expressed miRNAs List

Status:
miRNA ID Cancer Type Design logFC AveExpr T value P value adj Pvalue Status Plot

Functional Chart