Novel quantitative immunohistochemical analysis for evaluating PD-L1 expression with phosphor-integrated dots for predicting the efficacy of patients with cancer treated with immune checkpoint inhibitors

IntroductionProgrammed cell death ligand 1 (PD-L1) expression in tumor tissues is measured as a predictor of the therapeutic efficacy of immune checkpoint inhibitors (ICIs) in many cancer types. PD-L1 expression is evaluated by immunohistochemical staining using 3,3´-diaminobenzidine (DAB) chronogenesis (IHC-DAB); however, quantitative and reproducibility issues remain. We focused on a highly sensitive quantitative immunohistochemical method using phosphor-integrated dots (PIDs), which are fluorescent nanoparticles, and evaluated PD-L1 expression between the PID method and conventional DAB method.MethodsIn total, 155 patients with metastatic or recurrent cancer treated with ICIs were enrolled from four university hospitals. Tumor tissue specimens collected before treatment were subjected to immunohistochemical staining with both the PID and conventional DAB methods to evaluate PD-L1 protein expression.ResultsPD-L1 expression assessed using the PID and DAB methods was positively correlated. We quantified PD-L1 expression using the PID method and calculated PD-L1 PID scores. The PID score was significantly higher in the responder group than in the non-responder group. Survival analysis demonstrated that PD-L1 expression evaluated using the IHC-DAB method was not associated with progression-free survival (PFS) or overall survival (OS). Yet, PFS and OS were strikingly prolonged in the high PD-L1 PID score group.ConclusionQuantification of PD-L1 expression as a PID score was more effective in predicting the treatment efficacy and prognosis of patients with cancer treated with ICIs. The quantitative evaluation of PD-L1 expression using the PID method is a novel strategy for protein detection. It is highly significant that the PID method was able to identify a group of patients with a favorable prognosis who could not be identified by the conventional DAB method

Factors affecting the willingness of nursing care staffs for cooperation with heart failure care and the role of internet video education

Abstract Background With the aging of heart failure (HF) patients, collaboration between medical and nursing care facilities is essential for HF care. The aims of this study were: (1) to identify the factors that affect willingness of nursing care staffs to cooperate with HF care; (2) to test whether the internet video education is useful in improving their willingness to collaborate. Methods A web‐based questionnaire was e‐mailed to 417 registered medical corporations that operated nursing care facilities in the prefecture where the authors work. Medical and care staff working at each facility were asked their willingness to cooperate with HF care and their problems about collaboration. Machine learning analysis was used to assess the factors associated with unwillingness to cooperate. After watching a 6‐min YouTube video explaining HF and community collaboration, we reaffirmed their willingness to cooperate. Results We received responses from 76 medical and care staff members. Before watching the video, 32.9% of participants stated that they were unwilling to cooperate with HF care. Machine learning analysis showed that job types, perceived problems of collaboration, and low opportunities to learn about HF were associated with unwillingness to cooperation. After watching the video, we observed an increase from 67.1% to 80.3% (p < 0.05) of participants willing to cooperate with HF care. Conclusions Job types, perceived problems of collaboration, and low opportunities to learn about HF are associated with unwillingness of nursing care staff for HF care. Internet videos are potential learning tool that can easily promote community collaboration for HF