Identifying Long-Term Survivors in Breast Cancer
Author Information
Author(s): Cameron D A, Gregory W M, Bowman A, Anderson E D C, Levack P, Forouhi P, Leonard R C F
Primary Institution: Department of Clinical Oncology, Western General Hospital, Edinburgh, UK
Hypothesis
The degree of pathological response in breast cancer patients best identifies those with a good long-term outcome.
Conclusion
The study confirms that a mathematical model can predict long-term outcomes in breast cancer patients based on their response to chemotherapy.
Supporting Evidence
- The model predicts that tumours responding to chemotherapy have higher cell-kill rates.
- ER-negative tumours show higher cell-kill compared to ER-positive tumours.
- Patients with a pathological complete response had zero resistance according to the model.
- Survival analysis showed worse outcomes for patients with more than 8% primary resistant tumour.
Takeaway
Doctors can use a special math model to figure out which breast cancer patients are likely to do well after treatment.
Methodology
The study applied a mathematical model to analyze the response of 100 breast cancer patients to chemotherapy.
Participant Demographics
Included 100 patients with locally advanced and operable breast cancer.
Statistical Information
P-Value
P< 0.0005, P< 0.0001, P< 0.002, P< 0.003, P< 0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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