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Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay.

Breast cancer research : BCR | 2006

Predicting the clinical course of breast cancer is often difficult because it is a diverse disease comprised of many biological subtypes. Gene expression profiling by microarray analysis has identified breast cancer signatures that are important for prognosis and treatment. In the current article, we use microarray analysis and a real-time quantitative reverse-transcription (qRT)-PCR assay to risk-stratify breast cancers based on biological 'intrinsic' subtypes and proliferation.

Pubmed ID: 16626501 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P50 CA058223
  • Agency: NCI NIH HHS, United States
    Id: R33 CA097769

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This is a list of tools and resources that we have found mentioned in this publication.


BLAT (tool)

RRID:SCR_011919

Software designed to quickly find sequences of 95% and greater similarity of length 25 bases or more.

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LightCycler Software (tool)

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TreeView (tool)

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Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

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MCF-7 (tool)

RRID:CVCL_0031

Cell line MCF-7 is a Cancer cell line with a species of origin Homo sapiens (Human)

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