https://www.selleckchem.com/products/zk53.html DNA mutations in specific genes can confer preferential benefit from drugs targeting those genes. However, other molecular perturbations can "phenocopy" pathogenic mutations, but would not be identified using standard clinical sequencing, leading to missed opportunities for other patients to benefit from targeted treatments. We hypothesized that RNA phenocopy signatures of key cancer driver gene mutations could improve our ability to predict response to targeted therapies, despite not being directly trained on drug response. To test this, we built gene expression signatures in tissue samples for specific mutations and found that phenocopy signatures broadly increased accuracy of drug response predictions in-vitro compared to DNA mutation alone, and identified additional cancer cell lines that respond well with a positive/negative predictive value on par or better than DNA mutations. We further validated our results across four clinical cohorts. Our results suggest that routine RNA sequencing of tumors to identify phenocopies in addition to standard targeted DNA sequencing would improve our ability to accurately select patients for targeted therapies in the clinic. To assess the outcome of surgically fixated femur shaft and distal femur fractures following low-velocity civilian gunshot injuries over a 4-year period. A retrospective review was conducted on all patients who sustained femur shaft and distal femur fractures from civilian low-velocity gunshot injuries that required definitive surgical fixation between January 2014 and December 2017. Patient demographics, comorbidities, injury characteristics, duration between injury and surgical fixation and presence of complications were captured. A total of 122 patients (mean age, 29.1 ± 9.5years) were included. Supracondylar femur fractures (AO 33) accounted for 49% of total injuries, followed by femoral shaft (AO 32) and intra-articular distal femur fractures (AO 33 B & C