BACKGROUND AND OBJECTIVES: The monoclonal antibody MIB-1 is an immunohistochemical marker reacting most strongly with cells in late S phase, G2, and M portions of the cell cycle. This antibody, reactive in formalin-fixed, paraffin-embedded tissue, allows the quantitation of a proliferation index (PI) in both current clinical cases and archival material using a computerized image analyzer (CIA). METHODS: Since many laboratories make use of automated immunohistochemistry (AIH), this study was performed to explore the technical feasibility of using AIH (Ventana ES 320) in combination with CIA (CAS 200) to evaluate MIB-1 PI as a prognostic marker as assessed by overall survival in 50 archival (formalin-fixed, paraffin-embedded), advanced stage primary ovarian carcinomas. RESULTS: Exploratory methods confirmed that 15% was a cutpoint that could dichotomize these 50 patients into two prognostic groups based on overall survival. The median survival of patients whose carcinoma had a high MIB-1 expression (> or = 15%) was 16 months compared with 30 months in the patients whose tumors demonstrated low MIB-1 expression (< 15%, P = 0.01). After adjustment for age, MIB-1 retained its prognostic significance (P = 0.02). Patients 60 years and older had shorter survival than younger patients (P = 0.06), but these two groups did not differ with respect to PI (P = 0.76). Those patients with a negative second look laparotomy had a longer median survival of 70 months compared with 18.5 months in patients with a positive second look (P < 0.001); the median PIs were 17% and 27%, respectively (P = 0.36). There were no significant relationships between clinical stage, nuclear grade, DNA ploidy, p53, and either survival or PI. CONCLUSIONS: In this study, we concluded that the combination of AIH and CIA yielded a reliable quantitation of MIB-1 proliferative index and that this proliferative marker had prognostic significance in late stage ovarian carcinoma. Further studies in a larger group of patients are needed to confirm the relationship between proliferation index and other known clinicopathologic and genetic variables.
BACKGROUND AND OBJECTIVES: The monoclonal antibody MIB-1 is an immunohistochemical marker reacting most strongly with cells in late S phase, G2, and M portions of the cell cycle. This antibody, reactive in formalin-fixed, paraffin-embedded tissue, allows the quantitation of a proliferation index (PI) in both current clinical cases and archival material using a computerized image analyzer (CIA). METHODS: Since many laboratories make use of automated immunohistochemistry (AIH), this study was performed to explore the technical feasibility of using AIH (Ventana ES 320) in combination with CIA (CAS 200) to evaluate MIB-1 PI as a prognostic marker as assessed by overall survival in 50 archival (formalin-fixed, paraffin-embedded), advanced stage primary ovarian carcinomas. RESULTS: Exploratory methods confirmed that 15% was a cutpoint that could dichotomize these 50 patients into two prognostic groups based on overall survival. The median survival of patients whose carcinoma had a high MIB-1 expression (> or = 15%) was 16 months compared with 30 months in the patients whose tumors demonstrated low MIB-1 expression (< 15%, P = 0.01). After adjustment for age, MIB-1 retained its prognostic significance (P = 0.02). Patients 60 years and older had shorter survival than younger patients (P = 0.06), but these two groups did not differ with respect to PI (P = 0.76). Those patients with a negative second look laparotomy had a longer median survival of 70 months compared with 18.5 months in patients with a positive second look (P < 0.001); the median PIs were 17% and 27%, respectively (P = 0.36). There were no significant relationships between clinical stage, nuclear grade, DNA ploidy, p53, and either survival or PI. CONCLUSIONS: In this study, we concluded that the combination of AIH and CIA yielded a reliable quantitation of MIB-1 proliferative index and that this proliferative marker had prognostic significance in late stage ovarian carcinoma. Further studies in a larger group of patients are needed to confirm the relationship between proliferation index and other known clinicopathologic and genetic variables.
Authors: Jonathan L Hecht; Joanne Kotsopoulos; Margaret A Gates; Susan E Hankinson; Shelley S Tworoger Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-11 Impact factor: 4.254