Establishing a whole blood CD4+ T cell immunity measurement to predict response to anti-PD-1.

BACKGROUND: Biomarkers that can accurately predict the efficacy of immune checkpoint inhibitors (ICIs) against programmed death 1 (PD-1) ligand in cancer immunotherapy are urgently needed. We have previously reported a novel formula that predicts the response to treatment with second-line nivolumab with high sensitivity and specificity in patients with non-small cell lung cancer (NSCLC) previously treated with chemotherapy. The formula was based on the percentages of CD62LlowCD4+ T cells (effector T cells; %Teff) and CD4+CD25+FOXP3+ T cells (regulatory T cells; %Treg) in the peripheral blood before treatment estimated using the peripheral blood mononuclear cell (PBMC) method. Here, we investigated the applicability of the formula (K-index) to predict the response to treatment with another ICI to expand its clinical applicability. Furthermore, we developed a simpler assay method based on whole blood (WB) samples to overcome the limitations of the PBMC method, such as technical difficulties, in obtaining the K-index. METHODS: The K-index was evaluated using the PBMC method in 59 patients with NSCLC who received first-line pembrolizumab treatment. We also assessed the K-index using the WB method and estimated the correlation between the measurements obtained using both methods in 76 patients with lung cancer. RESULTS: This formula consistently predicted the response to first-line pembrolizumab therapy in patients with NSCLC. The WB method correlated well with the PBMC method to obtain %Teff, %Treg, and the formula value. The WB method showed high repeatability (coefficient of variation, < 10%). The data obtained using WB samples collected in tubes containing either heparin or EDTA-2K and stored at room temperature (18-24 °C) for one day after blood sampling did not differ. Additionally, the performance of the WB method was consistent in different flow cytometry instruments. CONCLUSIONS: The K-index successfully predicted the response to first-line therapy with pembrolizumab, as reported earlier for the second-line therapy with nivolumab in patients with NSCLC. The WB method established in this study can replace the cumbersome PBMC method in obtaining the K-index. Overall, this study suggests that the K-index can predict the response to anti-PD-1 therapy in various cancers, including NSCLC.

The cell cycle profile test is a prognostic indicator for breast cancer patients treated with postoperative 5-fluorouracil-based chemotherapy.

OBJECTIVE: The cell cycle profile test is suggested to be an independent prognostic indicator for breast cancer patients. To further clarify the prognostic value, we applied this to breast cancer patients treated with postoperative 5-fluorouracil-based chemotherapy. METHODS: A total of 153 breast cancer patients, who were treated with postoperative 5-fluorouracil-based chemotherapies, were randomly selected. Specific activities of cyclin-dependent kinases 1 and 2 in the tumor samples were analyzed. Patients were divided into three categories (low, intermediate or high risk) based on cell cycle profile analysis. RESULTS: The proportions of the cell cycle profile categories were 39% for low risk, 10% for intermediate risk and 45% for high risk, respectively. Although the cell cycle profile test did not show a significant predictive power for relapse-free survival (high vs. low risk; P = 0.052), the cell cycle profile categories were significant prognostic factors in a subgroup of 98 patients with fewer than three involved nodes (high vs. low risk, P = 0.004). Multivariate analyses also indicated that a cell cycle profile parameter (high vs. low risk) was an independent prognostic indicator from the number of involved nodes and clinical stage in this subgroup (hazard ratio = 2.46, P = 0.01). Interestingly, the prognostic power of the cell cycle profile test was significant in 75 patients treated with oral 5-fluorouracil derivatives alone (hazard ratio = 6.29 for high vs. low risk, P = 0.02). CONCLUSIONS: These findings suggest that the cell cycle profile test is useful for predicting a higher risk of relapse in patients treated with postoperative 5-fluorouracil-based chemotherapy.

Performance and usefulness of a novel automated immunoassay HISCL SARS-CoV-2 Antigen assay kit for the diagnosis of COVID-19.

Here, we aimed to evaluate the clinical performance of a novel automated immunoassay HISCL SARS-CoV-2 Antigen assay kit designed to detect the nucleocapsid (N) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This kit comprises automated chemiluminescence detection systems. Western blot analysis confirmed that anti-SARS-CoV antibodies detected SARS-CoV-2N proteins. The best cut-off index was determined, and clinical performance was tested using 115 serum samples obtained from 46 patients with coronavirus disease 2019 (COVID-19) and 69 individuals who tested negative for COVID-19 through reverse transcription quantitative polymerase chain reaction (RT-qPCR). The HISCL Antigen assay kit showed a sensitivity of 95.4% and 16.6% in samples with copy numbers > 100 and < 99, respectively. The kit did not cross-react with human coronaviruses causing seasonal common cold and influenza, and none of the 69 individuals without COVID-19 were diagnosed with positive results. Importantly, 81.8% of the samples with low virus load (< 50 copy numbers) were diagnosed as negative. Thus, using HISCL antigen assay kits may reduce overdiagnosis compared with RT-qPCR tests. The rapid and high-throughput HISCL SARS-CoV-2 Antigen assay kit developed here proved suitable for screening infectious COVID-19 and may help control the pandemic.