An Automated, Dynamic Radiation Oncology Prescription Checking System.

PURPOSE: Despite serving as a critical communication tool, radiation oncology prescriptions are entered manually and prone to error. An automated prescription checking system was developed and implemented to help address this problem. METHODS AND MATERIALS: Rules defining clinically appropriate prescriptions were generated, examining specific types of errors: (1) unapproved dose per fraction for a given disease site; (2) dose per fraction too large for nonstereotactic treatment technique; and (3) dose per fraction too low. With a goal of catching errors as upstream as possible to minimize their propagation, a report was created and ran every 30 minutes to check all newly written or approved prescriptions against the 3 rules. When a prescription violated these rules, an automated email was immediately sent to the prescriber alerting them of the potential error. System performance was continuously monitored and the criteria triggering an alert adjusted to balance error detection against false positives. Alerts leading to prescription amendment were considered true errors. RESULTS: From June 2021 to November 2022, the system checked 24,047 prescriptions. A total of 241 email alerts were triggered, for an average alert rate of 1%. Of the 241 alerts, 198 (82.2%) were unapproved doses per fraction for the disease site, 14 (5.8%) were doses per fraction that were too low, and 29 (12%) were doses too large for nonstereotactic treatment technique. Thirty-one percent of alerts led to a change of prescription, suggesting they were true errors. The baseline rate of erroneous prescription entry was 0.3%. A regression model showed that trainee prescription entry and dose per fraction <150 cGy were significantly associated with true errors. CONCLUSIONS: Given the significant consequences of erroneous prescription entry, which ranged from wasted resources and treatment delays to potentially serious misadministration, there is significant value in implementing automated prescription checking systems in radiation oncology clinics.

Endometrial Carcinoma Recurrence Score (ECARS) validates to identify aggressive disease and associates with markers of epithelial-mesenchymal transition and PI3K alterations.

PURPOSE: Our previously reported 29-gene expression signature identified an aggressive subgroup of endometrial cancer patients with PI3K activation. We here wanted to validate these findings by independent patient series. PATIENTS AND METHODS: The 29-gene expression signature was assessed in fresh frozen tumor tissue from 280 primary endometrial carcinomas (three independent cohorts), 19 metastatic lesions and in 333 primary endometrial carcinomas using TCGA data, and expression was related to clinico-pathologic features and survival. The 29-gene signature was assessed by real-time quantitative PCR, DNA oligonucleotide microarrays, or RNA sequencing. PI3K alterations were assessed by immunohistochemistry, DNA microarrays, DNA sequencing, SNP arrays or fluorescence in situ hybridization. A panel of markers of epithelial-mesenchymal transition (EMT) was also correlated to the 29-gene signature score. RESULTS: High 29-gene Endometrial Carcinoma Recurrence Score (ECARS) values consistently validated to identify patients with aggressive clinico-pathologic phenotype and reduced survival. Within the presumed favorable subgroups of low grade, endometrioid tumors confined to the uterus, high ECARS still predicted a poor prognosis. The score was higher in metastatic compared to primary lesions (P<0.001) and was significantly associated with potential measures of PI3K activation, markers of EMT and vascular invasion as an indicator of metastatic spread (all P<0.001). CONCLUSIONS: ECARS validates to identify aggressive endometrial carcinomas in multiple, independent patients cohorts. The higher signature score in metastatic compared to primary lesions, and the potential link to PI3K activation and EMT, support further studies of ECARS in relation to response to PI3K and EMT inhibitors in clinical trials of metastatic endometrial carcinoma.

Isolation of hyperactive mutants of the MAPK p38/Hog1 that are independent of MAPK kinase activation.

Mitogen-activated protein kinases (MAPKs) play pivotal roles in growth, development, differentiation, and apoptosis. The exact role of a given MAPK in these processes is not fully understood. This question could be addressed using active forms of these enzymes that are independent of external stimulation and upstream regulation. Yet, such molecules are not available. MAPK activation requires dual phosphorylation, on neighboring Tyr and Thr residues, catalyzed by MAPK kinases (MAPKKs). It is not known how to force MAPK activation independent of MAPKK phosphorylation. Here we describe a series of nine hyperactive (catalytically and biologically), MAPKK-independent variants of the MAPK Hog1. Each of the active molecules contains just a single point mutation. Six mutations are in the conserved L16 domain of the protein. The active Hog1 mutants were obtained through a novel genetic screen that could be applied for isolation of active MAPKs of other families. Equivalent mutations, introduced to the human p38alpha, rendered the enzyme active even when produced in Escherichia coli, showing that the mutations increased the intrinsic catalytic activity of p38. It implies that the activating mutations could be directly used for production of active forms of MAPKs from yeasts to humans and could open the way to revealing their biological functions.