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Immunotherapy against cancer, through immune checkpoint inhibitors targeting the programmed cell death‐1/programmed cell death‐ligand 1 axis, is particularly successful in tumors by relieving the immune escape. However, interindividual responses to immunotherapy are often heterogeneous. Therefore, it is essential to screen out predictive tumor biomarkers. In this study, we analyzed the commensal microbiota in stool samples and paired sputum samples from 75 metastatic non‐small‐cell lung cancer (NSCLC) patients at baseline and during treatment with immune checkpoint inhibitors. Results showed distinct microbes' signatures between the gut microbiota and paired respiratory microbiota. The alpha diversity between the gut and respiratory microbiota was uncorrelated, and only the gut microbiota alpha diversity was associated with anti‐programmed cell death‐1 response. Higher gut microbiota alpha diversity indicated better response and more prolonged progression‐free survival. Comparison of bacterial communities between responders and nonresponders showed some favorable/unfavorable microbes enriched in responders/nonresponders, indicating that commensal microbiota had potential predictive value for the response to immune checkpoint inhibitors. Generally, some rare low abundance gut microbes and high abundance respiratory microbes lead to discrepancies in microbial composition between responders and nonresponders. A significant positive correlation was observed between the abundance of Streptococcus and CD8+ T cells. These results highlighted the intimate relationship between commensal microbiota and the response to immunotherapy in NSCLC patients. Gut microbiota and respiratory microbiota are promising biomarkers to screen suitable candidates who are likely to benefit from immune checkpoint inhibitor‐based immunotherapy. [ABSTRACT FROM AUTHOR]

Background: To study in vitro the effects of anlotinib combined with radiotherapy on the lung cancer H520 cell cycle and apoptosis. Methods: The log growth period H520 cells were divided into the control group, anlotinib group (A group), radiotherapy group (RT group) and combined group (A + RT group). Cell cycle and apoptosis were detected by flow cytometry and changes in H520 cell cycle and apoptosis were analyzed in each group. Results: Anlotinib was determined to significantly inhibit cell growth in all groups, both alone, or in combination with radiotherapy. After receiving corresponding treatments, the proportions of G2/M‐phase cells in the control group, A group, RT group and A + RT group were different, and statistically significant (F = 32.086, P < 0.001). The apoptotic cell statistics of H520 cells in the control group, A group, RT group and A + RT group were significantly different (F = 44.537, P < 0.01). The relative expression of CDK1 in each group of cells was 0.04 ± 0.02, 0.07 ± 0.12, 0.81 ± 0.11, and 0.56 ± 0.16, respectively. There were differences between the groups by analysis of variance which were statistically significant (F = 58.36, P < 0.0001). The relative expression of cycle B in each group of cells was 0.27 ± 0.05, 0.40 ± 0.16, 0.65 ± 0.14, and 0.57 ± 0.13, respectively. There were differences between the groups by analysis of variance which were statistically significant (F = 10.77, P = 0.0002). Conclusions: Anlotinib had an inhibitory effect on lung cancer H520 cell proliferation. A higher rate of apoptosis and G2/M phase block was observed in the anlotinib‐radiotherapy combined group. Anlotinib combined with radiotherapy was able to synergistically inhibit tumor cell growth. Key points: Anrotinib combined with radiotherapy can synergistically inhibit tumor cell growth. [ABSTRACT FROM AUTHOR]

Reversible oxygen conversion is important for various green energy technologies. Herein we synthesize a series of bimetallic coordination polymers by varying the Ni/Co ratio and using HITP (HITP=2,3,6,7,10,11‐hexaiminotriphenylene) as the ligand, to interrogate the role of metal centres in modulating the activity of the oxygen reduction reaction (ORR). Co3HITP2 and Ni3HITP2 are compared. Unpaired 3d electrons in Co3HITP2 result in less coplanarity but more radical character. Thus, despite of a reduced crystallinity and conductivity, the best ORR activity, comparable to 20 % Pt/C, is obtained for Co3HITP2, showing the 3d orbital configuration of the metal centre promotes ORR. Experimental and DFT studies show a transition of ORR pathway from four‐electron for Co3HITP2 to two‐electron for Ni3HITP2. Rechargeable zinc–air batteries using Co3HITP2 as the air cathode catalyst demonstrate excellent energy efficiency and stability. [ABSTRACT FROM AUTHOR]

Background: This study was designed to assess the clinical efficacy and toxicity of apatinib (YN968D1) as third or subsequent‐line treatment for stage III/IV non‐small cell lung cancer (NSCLC). Methods: A total of 100 patients with advanced NSCLC who were treated with apatinib at a daily dose of 250/425/500 mg at Shandong Cancer Hospital from January 2016 to June 2018 were enrolled in our study. The objective response, disease control, and median progression‐free survival rates were reviewed and evaluated. Univariate and multivariate analyses were performed to determine the prognostic factors. The main adverse events were evaluated per the Common Terminology Criteria for Adverse Events version 4.0. Results: All patients were assessable for response. No complete responses were observed, 11 patients achieved a partial response, and 56 showed stable disease. The objective response rate was 11.0%, the disease control rate was 67.0%, and the median progression‐free survival was 2.93 months (95% confidence interval 2.07–3.87). In Cox regression analysis, the Eastern Cooperative Oncology Group performance status score (hazard ratio 1.799; P < 0.05) and smoking history (hazard ratio 1.958; P < 0.05) were predictive indicators for apatinib treatment efficacy. Treatment‐related adverse events were tolerated, predictable, reversible, and controllable. Conclusion: Apatinib was found to be both effective and safe in advanced NSCLC patients without a genetic driver mutation who experienced progression after two or more lines of chemotherapy treatment. [ABSTRACT FROM AUTHOR]