Detail
Experiment ID:
EXP00124
Reference:
- Title: microRNA-associated progression pathways and potential therapeutic targets identified by integrated mRNA and microRNA expression profiling in breast cancer.
- Author: Buffa FM, Camps C, Winchester L, Snell CE, Gee HE, Sheldon H, Taylor M, Harris AL, Ragoussis J
- Journal: Cancer research.2011 Sep 01;71(17):5635-45.doi:10.1158/0008-5472.CAN-11-0489.
- Abstract: microRNA expression profiling plays an emerging role in cancer classification and identification of therapeutic strategies. In this study, we have evaluated the benefits of a joint microRNA-mRNA analysis in breast cancer. Matched mRNA and microRNA global expression profiling was conducted in a well-annotated cohort of 207 cases with complete 10-year follow-up. Penalized Cox regression including microRNA expression, mRNA expression, and clinical covariates was used to identify microRNAs associated with distant relapse-free survival (DRFS) that provide independent prognostic information, and are not simply surrogates of previously identified prognostic covariates. Penalized regression was chosen to prevent overfitting. Furthermore, microRNA-mRNA relationships were explored by global expression analysis, and exploited to validate results in several published cohorts (n = 592 with DRFS, n = 1,050 with recurrence-free survival). Four microRNAs were independently associated with DRFS in estrogen receptor (ER)-positive (3 novel and 1 known; miR-128a) and 6 in ER-negative (5 novel and 1 known; miR-210) cases. Of the latter, miR-342, -27b, and -150 were prognostic also in triple receptor-negative tumors. Coordinated expression of predicted target genes and prognostic microRNAs strengthened these results, most significantly for miR-210, -128a, and -27b, whose targets were prognostic in meta-analysis of several cohorts. In addition, miR-210 and -128a showed coordinated expression with their cognate pri-microRNAs, which were themselves prognostic in independent cohorts. Our integrated microRNA-mRNA global profiling approach has identified microRNAs independently associated with prognosis in breast cancer. Furthermore, it has validated known and predicted microRNA-target interactions, and elucidated their association with key pathways that could represent novel therapeutic targets.
- PMID: 21737487
Expression Profile:
- Description:microRNA expression profiling of early primary breast cancer to identify prognostic markers and associated pathways
- Organism:Homo sapiens
- Source:GEO
- Source ID:GSE22216
- Platform: GPL8178
- Number of samples:210
- Overall design:Retrospective clinical study to identify breast cancer prognostic markers and associated pathways. 210 early primary breast cancers were considered who had complete 10-years follow-up, clinical and demographics information.miRNA profiling data.
- Instrument:Illumina Human v1 MicroRNA expression beadchip
Design and Sample:
- Cancer Type:breast cancer
- Cancer SubType:N/A
- Cell Line:N/A
- Experimental Design:subtype1 vs subtype2
- Case Sample:ER positive breast tumour
- Control Sample:ER negative breast tumour
- Num of Case:128
- Num of Control:82
- Quantification Software:Limma
- Num of miRNAs:486
Identification:
- Num of Up:87
- Num of Down:69
Time Info:
- Create Time2016-03-14
- Update Time:2021-05-27
Status:
| miRNA ID | Cancer Type | Design | logFC | AveExpr | T value | P value | adj Pvalue | Status | Plot |
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