Array comparative genomic hybridisation (aCGH) analysis of premenopausal breast cancers from a nuclear fallout area and matched cases from Western New York
2005

Genetic Changes in Breast Cancer from Nuclear Fallout Areas

Sample size: 47 publication Evidence: high

Author Information

Author(s): Varma G, Varma R, Huang H, Pryshchepava A, Groth J, Fleming D, Nowak N J, McQuaid D, Conroy J, Mahoney M, Moysich K, Falkner K L, Geradts J

Primary Institution: Roswell Park Cancer Institute

Hypothesis

Are there distinct genetic changes in premenopausal breast cancers from areas exposed to nuclear fallout compared to those from non-exposed areas?

Conclusion

The study identified a distinct profile of genetic aberrations in breast cancers from a nuclear fallout area, suggesting a possible molecular fingerprint of radiation-associated breast cancer.

Supporting Evidence

  • The average number of total CNAs per sample was 76, indicating significant genetic changes.
  • Belarussian tumours had more amplifications and fewer deletions than WNY breast cancers.
  • Unsupervised hierarchical clustering revealed two distinct groups of tumours based on geographic origin.
  • 50 CNAs occurred significantly more commonly in one cohort versus the other.
  • Some candidate signature amplifications were identified in breast cancers from women exposed to significant radiation.

Takeaway

Scientists looked at breast cancer samples from women who lived near a nuclear disaster and found many unique genetic changes compared to samples from women who didn't have that exposure.

Methodology

High-resolution array comparative genomic hybridisation (aCGH) was used to analyze DNA copy number aberrations in breast cancer samples.

Potential Biases

Potential confounding factors such as smoking or diet were not ruled out.

Limitations

The study did not have associated epidemiologic or dosimetry data for individual samples from Belarus.

Participant Demographics

Participants included premenopausal women from Belarus and Western New York, primarily Caucasian, with ages ranging from 24 to 50 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1038/sj.bjc.6602784

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