X-Ray of Excised Cancerous Breast Tissue Does Not Affect Clinical Biomarker Expression.

CONTEXT: College of American Pathologists (CAP) and the American Society of Clinical Oncology have emphasized the need to reduce preanalytic variables for evaluating predictive biomarker expression in breast cancer. Postoperative x-ray of excised breast tissue is commonplace, yet is a variable that has not been investigated previously. We asked whether such radiation affects expression of relevant biomarkers. DESIGN: A previous study found that human breast cancers grown in mice demonstrate the same immunohistochemical and molecular profiles as the original tumors. Thirteen patient-derived xenografts were harvested fresh and divided for specimen radiography and a matched nonirradiated control, while following CAP/ASCO guidelines for cold ischemia time and fixation. Samples were processed in a tissue microarray for immunohistochemistry. Estrogen receptor (ER), progesterone receptor (PR), p53, and Ki67 staining was evaluated using an optimized scoring algorithm performed on digitally scanned slides. Samples were also scored manually by a blinded pathologist using the H-score method, and HER2 by the CAP/ASCO 2013 protocol. Histologic scores were compared by analysis of variance. RESULTS: There was no significant difference in quantity or intensity of staining between irradiated and nonirradiated samples for estrogen receptor (P=0.28), p53 (P=0.96), and Ki67 (P=0.94). A small but statistically significant difference was observed for PR (P=0.0058). HER2 staining was similarly unchanged in the 1 tumor exhibiting 3+ staining. CONCLUSIONS: Our study demonstrates that x-ray of breast carcinomas does not significantly affect the expression of predictive biomarkers, with the exception of PR for unclear reasons. It also highlights the utility of the patient-derived xenograft model for biomarker studies.

Multigene and Drug Interaction Approach for Tamoxifen Metabolite Patterns Reveals Possible Involvement of CYP2C9, CYP2C19, and ABCB1.

Tamoxifen is metabolically activated to 4-hydroxytamoxifen and endoxifen by cytochrome P450 (CYP). CYP phenotypes have been correlated to tamoxifen outcomes, but few have considered drug interactions or combinations of genes. Fewer still have considered ABCB1, which encodes P-glycoprotein and transports active tamoxifen metabolites. We compared the concentrations of tamoxifen and metabolites in 116 breast cancer patients with predicted phenotypes for CYP2D6, CYP3A4, CYP3A5, CYP2C9, CYP2C19, and ABCB1 genotypes. A significant correlation between CYP2D6 phenotypes and tamoxifen metabolites was seen, strongest for endoxifen (P < .0001). Statistical fit of the data improved when using gene activity scores adjusted for known drug interactions. Concentration of tamoxifen was significantly higher (P = .02) for patients taking a CYP2C19 inhibitor. No significant relationships were found for other genes unless patients were subgrouped according to CYP2D6 phenotypes or ABCB1 genotypes. Lower concentrations of endoxifen and endoxifen/4-hydroxytamoxifen ratios were seen with impaired CYP2C9 (P = .05 and P = .03, respectively) if patients had the same CYP2D6 phenotype and were not taking a CYP2D6 or CYP2C19 inhibitor. Lower concentrations of 4-hydroxytamoxifen were seen for impaired CYP2C19 when ABCB1 SNP3435 was nonvariant (P = .04). With 3 impaired CYP phenotypes, endoxifen concentrations were lower than if only CYP2D6 was impaired (P = .05). When CYP2D6 was impaired, ABCB1 3435 CC (rs1045642) was associated with significantly higher endoxifen (P = .03). Thus, impairment in CYP2C9, CYP2C19, or ABCB1 contributes to a lower steady-state endoxifen concentration at the dose studied. These studies represent an improved way of examining relationships between pharmacogenetics, drug concentrations, and clinical outcomes and warrants study in larger populations.