Prevalence of drug-drug interactions in oncology patients enrolled on National Clinical Trials Network oncology clinical trials.

BACKGROUND: Drug-drug interactions (DDIs) in subjects enrolling in clinical trials can impact not only safety of the patient but also study drug outcomes and data validity. This makes it critical to adequately screen and manage DDIs. The study objective was to determine the prevalence of DDIs involving study medications in subjects enrolling in National Clinical Trials Network (NCTN) clinical trials at a single institution. DDIs were evaluated based on study protocol recommendations for concomitant medication use (i.e. exclude, avoid or use caution), screening via DDI tool, and pharmacist review. METHODS: Subjects enrolled in NCTN trials of commercially available agents between January 2013 and August 2017 were included if a complete medication list was available. Complete medication lists were collected from the date of enrollment or the next available date then screened utilizing protocol guidance and the DDI screening tool, Lexicomp® Drug Interactions (Wolters Kluwer, Hudson, OH). Interactions were reviewed for clinical relevance: defined as a DDI that would require a medication change to ensure study agent safety and efficacy at enrollment. RESULTS: One hundred and twenty-eight subjects enrolled in 35 clinical trials were included. Protocol guidance detected 15 unique DDI pairs that should be avoided or used with caution in 10.2% (13/128) of subjects. The majority of these subjects did not have a clinically relevant DDI (69.2%, 9/13) based on pharmacist review. Lexicomp® detected moderate to major DDIs in 24.2% (31/128) of subjects, with 9.4% (12/128) having a clinically relevant DDI. CONCLUSIONS: This study confirms a high prevalence of DDIs present in subjects enrolling in oncology clinical trials. Further efforts should be made to improve methods to detect and manage DDIs in patients enrolling on clinical trials to ensure patient safety and trial data validity.

Prediction of Response to Therapy for Autoimmune/Inflammatory Diseases Using an Activated Macrophage-Targeted Radioimaging Agent.

The ability to select patients who will respond to therapy is especially acute for autoimmune/inflammatory diseases, where the costs of therapies can be high and the progressive damage associated with ineffective treatments can be irreversible. In this article we describe a clinical test that will rapidly predict the response of patients with an autoimmune/inflammatory disease to many commonly employed therapies. This test involves quantitative assessment of uptake of a folate receptor-targeted radioimaging agent ((99m)Tc-EC20) by a subset of inflammatory macrophages that accumulate at sites of inflammation. Murine models of four representative inflammatory diseases (rheumatoid arthritis, inflammatory bowel disease, pulmonary fibrosis, and atherosclerosis) show markedly decreased uptake of (99m)Tc-EC20 in inflamed lesions upon initiation of successful therapies, but no decrease in uptake upon administration of ineffective therapies, in both cases long before changes in clinical symptoms can be detected. This predictive capability should reduce costs and minimize morbidities associated with failed autoimmune/inflammatory disease therapies.

Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics.

PURPOSE: Patients with cancer are an especially vulnerable population to potential drug-drug interactions (DDIs). This makes it important to adequately screen them for DDIs. The objective of this study was to compare the abilities of nine DDI screening tools to detect clinically relevant interactions with oral oncolytics. METHODS: Subscription-based tools (ie, PEPID, Micromedex, Lexicomp, Facts & Comparisons) and free tools (ie, Epocrates Free, Medscape, Drugs.com, RxList, WebMD) were compared for their abilities to detect clinically relevant DDIs for 145 drug pairs including an oral oncology agent. Clinical relevance was determined by a pharmacist using Stockley's Drug Interactions. Descriptive statistics were calculated for each tool, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and then compared grouped by free or subscription-based tools for the secondary analysis and analyzed via generalized estimating equations. RESULTS: For individual metrics, PPV had overall higher values (0.88 to 0.97) relative to the low values included for sensitivity (0.65 to 0.96), specificity (0.53 to 0.93) and NPV (0.38 to 0.83). The top-performing subscription and free tools, Lexicomp and Drugs.com, had no statistically significant differences in performance. Overall, subscription tools had a significantly higher sensitivity (0.85 ± 0.017 v 0.78 ± 0.017; P = .0082) and NPV (0.57 ± 0.039 v 0.48 ± 0.032; P = .031) than free tools. No differences were observed between the specificity and PPV. CONCLUSION: Due to the low performance of some tools for sensitivity, specificity, and NPV, individual performance should be examined and prioritized on the basis of the intended use when selecting a DDI tool. If a strong-performing subscription-based tool is unavailable, a strong-performing free option, like Drugs.com, is available.

Folate-Hapten-Mediated Immunotherapy Synergizes with Vascular Endothelial Growth Factor Receptor Inhibitors in Treating Murine Models of Cancer.

The overexpression of folate receptors (FR) on many human cancers has led to the development of folate-linked drugs for the imaging and therapy of FR-expressing cancers. In a recent phase I clinical trial of late-stage renal cell carcinoma patients, folate was exploited to deliver an immunogenic hapten, fluorescein, to FR+ tumor cells in an effort to render the cancer cells more immunogenic. Although >50% of the patients showed prolonged stable disease, all patients eventually progressed, suggesting that the folate-hapten immunotherapy was insufficient by itself to treat the cancer. In an effort to identify a companion therapy that might augment the folate-hapten immunotherapy, we explored coadministration of two approved cancer drugs that had been previously shown to also stimulate the immune system. We report that sunitinib and axitinib (VEGF receptor inhibitors that simultaneously mitigate immune suppression) synergize with the folate-hapten-targeted immunotherapy to reduce tumor growth in three different syngeneic murine tumor models. We further demonstrate that the combination therapy not only enhances tumor infiltration of CD4+ and CD8+ effector cells, but surprisingly reduces tumor neovasculogenesis more than predicted. Subsequent investigation of the mechanism for this unexpected suppression of neovasculogenesis revealed that it is independent of elimination of any tumor cells, but instead likely derives from a reduction in the numbers of FR+ tumor-associated macrophages and myeloid-derived suppressor cells, that is, immunosuppressive cells that release significant quantities of VEGF. These data suggest that a reduction in stromal cells of myeloid origin can inhibit tumor growth by suppressing neovasculogenesis. Mol Cancer Ther; 16(3); 461-8. ©2016 AACR.