Mehdi Owrang1, Robert L Copeland2, Luisel J Ricks-Santi3, Melvin Gaskins4, Desta Beyene5, Robert L Dewitty6, Yasmine M Kanaan7,8. 1. Department of Computer Science, American University, Washington, DC, U.S.A. 2. Department of Pharmacology, Howard University, Washington, DC, U.S.A. 3. Department of Biological Sciences, Cancer Research Center, Hampton University, Hampton, VA, U.S.A. 4. Howard University Hospital, Washington, DC, U.S.A. 5. Cancer Center, Howard University, Washington, DC, U.S.A. 6. Providence Hospital, Washington, DC, U.S.A. 7. Cancer Center, Howard University, Washington, DC, U.S.A. ymkanaan@howard.edu. 8. Department of Microbiology, Howard University Hospital, Washington, DC, U.S.A.
Abstract
BACKGROUND/AIMS: Breast cancer (BCa) prognostication is a vital element for providing effective treatment for patients with BCa. Studies suggest that ethnicity plays a greater role in the incidence and poor prognosis of BCa in younger women than in their older counterparts. Therefore, the goal of this study was to assess the association between age and ethnicity on the overall final prognosis. MATERIALS AND METHODS: Nottingham Prognostic Index (NPI) was used to analyze BCa prognosis using Howard University Cancer Center Tumor Registry and the National Cancer Institute's Surveillance, Epidemiology, and End Results BCa datasets. Patients were grouped according to their predicted prognosis based on NPI scheme. RESULTS: There was no correlation between the younger patients compared to their older counterparts for any of the prognostic clusters. The significance of ethnicity in poorer prognosis for younger age is not conclusive either. CONCLUSION: An extended prognostic tool/system needs to be evaluated for its usefulness in a clinical practice environment. Copyright
BACKGROUND/AIMS: Breast cancer (BCa) prognostication is a vital element for providing effective treatment for patients with BCa. Studies suggest that ethnicity plays a greater role in the incidence and poor prognosis of BCa in younger women than in their older counterparts. Therefore, the goal of this study was to assess the association between age and ethnicity on the overall final prognosis. MATERIALS AND METHODS: Nottingham Prognostic Index (NPI) was used to analyze BCa prognosis using Howard University Cancer Center Tumor Registry and the National Cancer Institute's Surveillance, Epidemiology, and End Results BCa datasets. Patients were grouped according to their predicted prognosis based on NPI scheme. RESULTS: There was no correlation between the younger patients compared to their older counterparts for any of the prognostic clusters. The significance of ethnicity in poorer prognosis for younger age is not conclusive either. CONCLUSION: An extended prognostic tool/system needs to be evaluated for its usefulness in a clinical practice environment. Copyright
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