New Classification for Breast Cancer Prognosis
Author Information
Author(s): Hasebe T, Sasaki S, Imoto S, Wada N, Ishii G, Ochiai A
Primary Institution: National Cancer Center Research Institute East
Hypothesis
The study aims to establish a new prognostic histological classification for invasive ductal carcinoma (IDC) patients based on histological characteristics.
Conclusion
The PVN classification is the best prognostic classification available for IDC of the breast.
Supporting Evidence
- The PVN classification significantly increased hazard rates of tumor recurrence and death in both IDCs with and without nodal metastasis.
- Only the PVN classification could classify IDC patients into four risk groups with significant rates of tumor recurrence or death.
- The study demonstrated that existing classifications did not adequately predict outcomes compared to the PVN classification.
Takeaway
Doctors have created a new way to predict how breast cancer will behave based on the characteristics of the tumors, which helps in treating patients better.
Methodology
Multivariate analyses using Cox proportional hazard regression models were used to compare the PVN classification with existing classifications.
Limitations
The study only included Japanese women and may not be generalizable to other populations.
Participant Demographics
392 consecutive cases of IDC, all Japanese women aged 28 to 78 years.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website