High-resolution array-CGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer
2007

Identifying a New Type of ER-Negative Breast Cancer

Sample size: 171 publication 10 minutes Evidence: high

Author Information

Author(s): Chin Suet F, Teschendorff Andrew E, Marioni John C, Wang Yanzhong, Barbosa-Morais Nuno L, Thorne Natalie P, Costa Jose L, Pinder Sarah E, van de Wiel Mark A, Green Andrew R, Ellis Ian O, Porter Peggy L, Tavaré Simon, Brenton James D, Ylstra Bauke, Caldas Carlos

Primary Institution: Cancer Research UK Cambridge Research Institute and Department of Oncology University of Cambridge

Hypothesis

Can high-resolution aCGH and expression profiling identify distinct genomic subtypes of ER-negative breast cancer?

Conclusion

The study provides strong evidence for a novel subtype of high-grade ER-negative tumors characterized by low genomic instability and identifies genomic regions associated with poor prognosis.

Supporting Evidence

  • The study identified a novel subtype of high-grade ER-negative breast cancer.
  • Amplification of specific genomic regions was associated with significantly worse prognosis.
  • Validation of the genomic subtype was achieved in an external breast cancer cohort.
  • High-resolution profiling revealed common copy number alterations linked to poor outcomes.
  • Significant associations were found between genomic alterations and aberrant gene expression.

Takeaway

Researchers found a new type of breast cancer that doesn't have a lot of genetic changes, which could help doctors understand and treat it better.

Methodology

The study used high-resolution oligo-array-based aCGH to analyze copy number alterations in 171 primary breast tumors and matched expression data.

Limitations

The study's findings may not be generalizable to larger tumors or those from heavily treated populations.

Participant Demographics

The cohort consisted of primary operable invasive breast carcinomas collected from 1990 to 1996, with a focus on smaller tumors and lower Nottingham Prognostic Index.

Statistical Information

P-Value

0.003

Confidence Interval

HR = 2.3 (1.3-4.4)

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/gb-2007-8-10-r215

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