Predicting Trabectedin Efficacy in Soft Tissue Sarcoma: Inflammatory Biomarker Analysis.

BACKGROUND/AIM: Trabectedin is used as a treatment for advanced-stage soft tissue sarcomas (STSs), particularly liposarcoma and leiomyosarcoma. Aside from its direct effect on tumor cells, trabectedin can affect the immune system in the tumor microenvironment. This study aimed to evaluate whether inflammatory biomarkers predict trabectedin efficacy in STSs. PATIENTS AND METHODS: We retrospectively reviewed the clinical features and outcomes of patients with STS treated with trabectedin at our institution between 2016 and 2020. The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and systemic inflammation response index (SIRI=neutrophil × monocyte/lymphocyte) were calculated based on the blood samples obtained prior to trabectedin treatment initiation. Analyses of overall survival (OS) and progression-free survival (PFS) were performed according to various factors. RESULTS: Of the 101 patients identified, 54 had L-sarcoma (leiomyosarcoma: 30; liposarcoma: 24), and 47 had other types of STSs. Elevated SIRI, NLR, PLR, LMR, and C-reactive protein (CRP) were associated with worse PFS (p<0.001, p=0.008, p=0.027, p=0.013, and p<0.001, respectively) according to the results of the univariate analysis. Multivariate analysis showed that elevated SIRI, other histology, and CRP were associated with poor PFS (p=0.007, p=0.008, and p=0.029, respectively). In addition, the multivariate analysis of OS showed that SIRI was an independent prognostic factor (hazard ratio=2.16, p=0.006). CONCLUSION: Pretreatment SIRI can be considered a biomarker for the prognostic prediction of patients with STS treated with trabectedin.

Cancer-Chemotherapy-Related Regimen Checks Performed by Pharmacists of General Hospitals Other than Cancer Treatment Collaborative Base Hospitals: A Multicenter, Prospective Survey.

Although prescription review is an important role for pharmacists in anticancer drug therapy, there are no guidelines in Japan that specify what pharmacists should check for in chemotherapy regimens. This prospective multicenter survey aimed to investigate the implementation of chemotherapy regimen checks by pharmacists in general hospitals by focusing on 19 recommended confirmation items designed to enhance chemotherapy safety. This study involved 14 hospitals within the National Hospital Organization in different regions of Japan. The top five cancers in Japan (gastric, colorectal, lung, breast, and gynecological) were targeted and specific chemotherapy regimens were analyzed. This study assessed the amount of time required for regimen checks, the number of confirmation items completed, the number and the content of inquiries raised regarding prescriptions, and the pharmacists' opinions using a questionnaire that had a maximum score of 10 points. Pharmacists checked 345 and 375 chemotherapies of patients in the control group (CG) and recommended items group (RIG), respectively. The mean time periods required for completing a chemotherapy regimen check were 4 min and 14 s (SD ±1 min and 50 s) and 6 min and 18 s (SD, ±1 min and 7 s) in the CG and RIG, respectively. The mean of the recommended items for the CG = 12.4 and for the RIG = 18.6. The items that the pharmacists did not confirm included urine protein (sixty-nine cases, 18.4%), allergy history (four cases, 1%), previous history (two cases, 0.5%), and a previous history of hepatitis B virus (sixty-nine cases, 18.4%). The number of inquiries for a doctor's prescription order was higher in the RIG than in the CG (41 vs. 27 cases). This multicenter survey demonstrated the potential effectiveness of implementing 19 recommended confirmation items in the regimen checks by pharmacists in general hospitals other than cancer treatment collaborative base hospitals.