Targeted next generation sequencing of endoscopic ultrasound acquired cytology from ampullary and pancreatic adenocarcinoma has the potential to aid patient stratification for optimal therapy selection
Abstract Mini-Chromosome Maintenance protein 7 (MCM7) is involved in replicative licensing and synthesis of DNA. It is previously identified as over-expressed gene in high-grade serous carcinomas compared to serous borderline tumors of the ovary in cDNA microarray studies. In this study, we sought to validate MCM7 expression in ovarian tumors by applying immunohistochemical analysis on tissue microarrays consisting of 445 ovarian tumors. MCM7 expression was quantified as MCM7 labeling index by determining the tumor nuclei positive for MCM7 staining as a percentage of total tumor nuclei. The labeling index scores were independently generated by two methods: PATH score provided by a manual review of each samples by a pathologist and ACIS score provided by Automated Cell Imaging System. Analyses of both scores indicated high degree of concordance in score distribution between PATH and ACIS. MCM7 expression is significantly higher in high-grade serous carcinomas compared to serous borderline tumors, confirming our previous cDNA microarray studies. In both PATH and ACIS analysis, MCM7 expression is also significantly higher in high-grade serous carcinomas compared to other histology subtypes of ovarian cancer. Finally, to identify the clinical significance of MCM7 expression, we determined the association between MCM7 expression and disease-free survival. MCM7 labeling index was dichotomized into two groups (high and low) using median labeling index as cut-off. For both PATH or ACIS-derived scores, univariate analyses indicate significant association of high MCM7 labeling index with better disease-free survival in high-grade serous carcinomas. These results suggest the clinical significance of MCM7 expression in high-grade serous carcinomas of the ovary and the need for further evaluation of MCM7 as a potential theranostic biomarker. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4637.
Novel Breast Tissue Feature Strongly Associated With Risk of Breast Cancer
Purpose Accurate, individualized risk prediction for breast cancer is lacking. Tissue-based features may help to stratify women into different risk levels. Breast lobules are the anatomic sites of origin of breast cancer. As women age, these lobular structures should regress, which results in reduced breast cancer risk. However, this does not occur in all women. Methods We have quantified the extent of lobule regression on a benign breast biopsy in 85 patients who developed breast cancer and 142 age-matched controls from the Mayo Benign Breast Disease Cohort, by determining number of acini per lobule and lobular area. We also calculated Gail model 5-year predicted risks for these women. Results There is a step-wise increase in breast cancer risk with increasing numbers of acini per lobule (P = .0004). Adjusting for Gail model score, parity, histology, and family history did not attenuate this association. Lobular area was similarly associated with risk. The Gail model estimates were associated with risk of breast cancer (P = .03). We examined the individual accuracy of these measures using the concordance (c) statistic. The Gail model c statistic was 0.60 (95% CI, 0.50 to 0.70); the acinar count c statistic was 0.65 (95% CI, 0.54 to 0.75). Combining acinar count and lobular area, the c statistic was 0.68 (95% CI, 0.58 to 0.78). Adding the Gail model to these measures did not improve the c statistic. Conclusion Novel, tissue-based features that reflect the status of a woman's normal breast lobules are associated with breast cancer risk. These features may offer a novel strategy for risk prediction.
Automated Cellular Imaging System III for Assessing HER2 Status in Breast Cancer Specimens
Abstract The goal of this study was to assess the performance characteristics of the Automated Cellular Imaging System (ACIS III) for HER2 immunohistochemical analysis. The study was performed on 187 biopsy slides from patients who underwent HER2 testing between January and February 2008. Three scoring methods by the ACIS III were compared with the manual score and fluorescence in situ hybridization (FISH) results for HER2 amplification. The equal distribution score (EQD) method, in which 2 areas each of high-, moderate-, and low-intensity staining were measured, most closely matched the FISH HER2 amplification result. The numbers of immunohistochemically negative (0 or 1+)/FISH+ cases were equivalent for all methods. The EQD method had significantly fewer 2+ cases (n = 16) (P < .001) vs the manual method (n = 35) and yielded a higher positive predictive value (38%) for HER2 amplification compared with the manual method (20%). The EQD method may more accurately identify FISH-amplified HER2 cases with fewer 2+ cases that would be “reflexed” to FISH compared with the manual method.