Abstract 27P
Background
Breast cancer prognostic factors vary from pathological grades, hormonal sensitivity, stage and LN metastasis. Results from recent studies discuss primary location as survival indicator but its significance still unclear. With SEER database registry in place, a rich source for data collection with differentiating breast cancer sites and primary location. With analysis of these data, the effect of cancer's primary origin on breast cancer survivorship would be more comprehensive.
Methods
Using SEER*stat 8.3.6 program, Based on Incidence - SEER Research Data, 9 Registries, Nov 2019 Sub (1975-2017), patients diagnosed with breast cancer (site recode ICD-O-3) between 1975-2017 are selected. Case listing session was done with extraction patients year of diagnosis, survival time in months, laterality, and primary site. Cox regression was done using IBM SPSS statistics 25. p-value <0.001 is considered significant.
Results
720272 patients were involved in analysis (50.9% left:49.1% right origin of primary). Median survival time for the cohort was 185 months(95% CI:184.4:185.5). Left side malignancy showed a significantly less positive effect on survival than right originated ones (HR, 0.988; 95% CI, 0.982–0.995). The upper and lower inner quadrants show a significantly higher effect on survival (HR, 1.877; 95% CI, 1.797–1.960) and 1.761(1.685). (HR, 1.761; 95% CI, 1.685–:1.842) respectively P-value <0.001. Table: 27P
P-value | HR | 95.0% CI for HR | ||
Lower | Upper | |||
Nipple | Reference | |||
Central portion of breast | <0.001 | 1.454 | 1.391 | 1.521 |
Upper-inner quadrant of breast | <0.001 | 1.877 | 1.797 | 1.960 |
Lower-inner quadrant of breast | <0.001 | 1.761 | 1.685 | 1.842 |
Upper-outer quadrant of breast | <0.001 | 1.567 | 1.501 | 1.635 |
Lower-outer quadrant of breast | <0.001 | 1.711 | 1.637 | 1.788 |
Axillary tail of breast | <0.001 | 1.142 | 1.078 | 1.211 |
Overlapping lesion of breast | <0.001 | 1.680 | 1.610 | 1.754 |
Breast, NOS | <0.001 | 1.350 | 1.293 | 1.410 |
Hazard ratios for primary site of breast cancer: Cox regression analysis Optimal cut-offs were determined with a maximal chi-square method.HR: hazard ratio; CI: confidence interval; NOS: not otherwise specified
Conclusions
Upper and lower inner quadrants show the best survival for patients diagnosed with breast cancer. The primary site of malignancy in breast cancer appears to be a good predictive value of survival and can be used as a rough method to predict patients` prognosis. More Data extraction, analysis, and interpretation of overall and cause-specific survival are recommended for more knowledge about the primary site in depth.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Mohamed Alaa Gouda.
Funding
Has not received any funding.
Disclosure
The author has declared no conflicts of interest.
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