Comparing DNA Measurement Methods in Breast Cancer
Author Information
Author(s): J. Yuan, C. Hennessy, A.L. Givan, I.P Corbett, J.A. Henry, G.V. Sherbet, T.W.J. Lennard
Primary Institution: University of Newcastle upon Tyne
Hypothesis
Can tumour DNA content measured by cell image analysis provide additional prognostic information compared to flow cytometry?
Conclusion
Cell image analysis may be more sensitive in detecting DNA aneuploidy, but flow cytometry is more specific in correlating with clinical outcomes.
Supporting Evidence
- Flow cytometry classified 46 tumours as diploid and 55 as aneuploid.
- Cell image analysis classified 30 tumours as diploid and 71 as aneuploid.
- DNA ploidy was significantly associated with histological grade.
- Patients with aneuploid tumours had significantly earlier relapse and shorter survival.
- Multivariate analysis showed flow cytometry DNA ploidy as the only independent significant variable for relapse and overall survival.
Takeaway
This study looked at two ways to measure DNA in breast cancer tumours to see which one gives better information about how patients will do. One method was better at finding problems, but the other was better at predicting patient outcomes.
Methodology
DNA ploidy was measured using flow cytometry and cell image analysis on paraffin-embedded tumour tissues from patients with node negative breast cancer.
Limitations
The study may have limitations due to the lack of external standards for DNA measurement in fixed tissues.
Participant Demographics
{"age":{"median":54,"range":"35-85"},"menopausal_status":{"premenopausal":32,"postmenopausal":69},"histological_grade":{"grade_1_and_2":49,"grade_3":45},"c-erbB-2_expression":{"negative":70,"positive":24},"tumour_size":{"T1":53,"T2":43}}
Statistical Information
P-Value
p<0.002
Statistical Significance
p<0.002
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