IntroductionSensory peripheral neuropathy caused by paclitaxel is a common and dose limiting toxicity, for which there are currently no validated predictive biomarkers. We investigated the relationship between the Charcot-Marie-Tooth protein NDRG1 and paclitaxel-induced neuropathy.Methods/MaterialsArchived mammary tissue specimen blocks of breast cancer patients who received weekly paclitaxel in a single centre were retrieved and NDRG1 immunohistochemistry was performed on normal nerve tissue found within the sample. The mean nerve NDRG1 score was defined by an algorithm based on intensity of staining and percentage of stained nerve bundles. NDRG1 scores were correlated with paclitaxel induced neuropathyResults111 patients were studied. 17 of 111 (15%) developed severe paclitaxel-induced neuropathy. The mean nerve NDRG1 expression score was 5.4 in patients with severe neuropathy versus 7.7 in those without severe neuropathy (p = 0.0019). A Receiver operating characteristic (ROC) curve analysis of the mean nerve NDRG1 score revealed an area under the curve of 0.74 (p = 0.0013) for the identification of severe neuropathy, with a score of 7 being most discriminative. 13/54 (24%) subjects with an NDRG1 score < = 7 developed severe neuropathy, compared to only 4/57 (7%) in those with a score >7 (p = 0.017).ConclusionLow NDRG1 expression in nerve tissue present within samples of surgical resection may identify subjects at risk for severe paclitaxel-induced neuropathy. Since nerve biopsies are not routinely feasible for patients undergoing chemotherapy for early breast cancer, this promising biomarker strategy is compatible with current clinical workflow.

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Introduction To ensure the efficient use of chemotherapy drugs, chemotherapy wastage is an area that can be investigated. This study aims to quantify current parenteral chemotherapy wastage and estimate parenteral chemotherapy wastage when dose banding is executed, using a chemotherapy wastage calculator in an ambulatory cancer centre. The study also examines the variables that significantly predict the total cost of chemotherapy wastage, investigates the reasons for wastage, and explores opportunities to reduce wastage. Methods Data were collected from the pharmacy in National Cancer Centre Singapore over 9 months retrospectively. Chemotherapy wastage is the sum of wastage in the preparation phase and potential wastage in the administration phase. The calculator was created using Microsoft Excel and generated chemotherapy wastage in terms of cost and amount (mg) and analysed the reasons for potential wastage. Results The calculator reported a total of 2.22 million mg of chemotherapy wastage generated over 9 months, amounting to $2.05 million (Singapore Dollars, SGD). Regression analysis found that the cost of drug was the only independent variable that significantly predicted the total cost of chemotherapy wastage ( P = 0.004). The study also identified low blood count (625 [29.06%]) as the top reason for potential wastage and no-show ($128,715.94 [15.97%]) as the reason that incurred the highest cost of potential wastage. Conclusion The pharmacy has generated a considerable amount of chemotherapy wastage over 9 months. Interventions in both the preparation and administration phases are required to reduce chemotherapy wastage. The use of the chemotherapy wastage calculator in pharmacy operations could guide efforts to reduce chemotherapy wastage.