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| Status |
Public on Sep 29, 2011 |
| Title |
A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
When making treatment decisions, oncologists often stratify breast cancers into a low-risk group (ER+, low grade); an intermediate-risk group (ER+, high grade); and a high-risk group that includes Her2+ and triple-negative (ER-/PR-/Her2-) tumors. None of the currently available gene signatures correlates to this clinical classification. We aimed to develop a test that is practical for the oncologists, that offers both molecular characterization of BCs, and improved prediction of prognosis and treatment response. We investigated the molecular basis of such clinical practice by grouping Her2+ and triple-negative breast cancers together during clustering analyses on the genome-wide gene expression profiles of our training cohort, mostly derived from fine needle aspiration biopsies (FNABs) of 149 consecutive evaluable Breast cancers. The analyses consistently divided these tumors into a three-cluster pattern, similar to clinical risk-stratification groups, that was reproducible in published microarray databases (n=2487) annotated with clinical outcomes. The clinicopathologic parameters of each of these three molecular groups were also similar to clinical classification. The low-risk group had good outcomes and benefited from endocrine therapy. Both intermediate- and high-risk groups had poor outcomes and were resistant to endocrine therapy. The latter demonstrated the highest rate of complete pathological response to neoadjuvant chemotherapy; the highest activities in MYC, E2F1, Ras, β-Catenin and IFN-γ pathways; and poor prognosis predicted by 14 independent prognostic signatures. Based on a multivariate analysis, this new gene signature, termed ClinicoMolecular Triad Classification, predicted recurrence and treatment response better than all pathologic parameters and other prognostic signatures.
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| Overall design |
149 invasive breast cancers from the 172 specimens contained 161 tumors were used in this study. Expression data of the 11 tumors with replicate was separately combined before analysis.
An additional validation dataset of 340 FNABs from a prospective breast cancer cohort can be found at GEO Accession: GSE45725.
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| Contributor(s) |
Wang DY, Leong WL |
| Citation(s) |
21939527, 24996446 |
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| Submission date |
Jul 07, 2009 |
| Last update date |
Sep 30, 2015 |
| Contact name |
Dong-Yu Wang |
| Organization name |
UHN-PMH-OCI
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| Street address |
610 University Ave
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| City |
Toronto |
| ZIP/Postal code |
M5G 2M9 |
| Country |
Canada |
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| Platforms (1) |
| GPL6104 |
Illumina humanRef-8 v2.0 expression beadchip |
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| Samples (161)
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| Relations |
| BioProject |
PRJNA117333 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE16987_Breast_RAW.txt.gz |
42.8 Mb |
(ftp)(http) |
TXT |
| GSE16987_RAW.tar |
3.4 Mb |
(http)(custom) |
TAR |
| Processed data included within Sample table |
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