scholarly journals Antibiotic use and the efficacy of immune checkpoint inhibitors in cancer patients: a pooled analysis of 2740 cancer patients

2019 ◽  
Vol 8 (12) ◽  
pp. e1665973 ◽  
Author(s):  
Xuan-Zhang Huang ◽  
Peng Gao ◽  
Yong-Xi Song ◽  
Yan Xu ◽  
Jing-Xu Sun ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Antibiotic Use ◽  
Pooled Analysis

Effects of Antibiotic Use on Outcomes in Cancer Patients Treated Using Immune Checkpoint Inhibitors

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yang Yu ◽  
Peng Zheng ◽  
Lei Gao ◽  
Haiyuan Li ◽  
Pengxian Tao ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Antibiotic Use

scholarly journals 191. The impact of antibiotic use on clinical outcomes in cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S101-S101
Author(s):  
Maria Tsikala Vafea ◽  
Neel Belani ◽  
Kendra Vieira ◽  
Dimitrios Farmakiotis
Keyword(s):  
Cancer Patients ◽  
Clinical Outcomes ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Antibiotic Use ◽  
Experimental Models ◽  
The Impact

Abstract Background Observational studies and experimental models suggest that use of antibiotics close to the administration of immune checkpoint inhibitors (ICI) can negatively affect tumor response and patient survival. This observation may be attributed to microbiome dysbiosis and the resultant suppression of host immune response against neoplastic cells. Methods We conducted a systematic search of PUBMED and EMBASE databases and references of articles retrieved. We included studies published between 1/1/17 and 2/1/20, which evaluated the association between antibiotic use and clinical outcomes in cancer patients treated with ICI. Primary endpoints were overall survival (OS), progression free survival (PFS), response rate (RR) and progressive disease (PD) rate. We performed a study-level random-effects meta-analysis with pooling of hazards ratios (HR) for OS, PFS, and odds ratios (OR) for RR and PD (PROSPERO ID: CRD42020166473). Results We included 41 studies with a total of 10,857 patients. The most common malignancies were lung cancer (59.7%), melanoma (23.1%), renal cell and urothelial carcinomas (8.1%). OS and PFS were shorter, RR lower, and PD higher in patients receiving antibiotics, both in univariate analyses and after adjustment for other confounders. Heterogeneity was significant for all outcomes, less so for adjusted OS and PFS (Table). To our knowledge, this is the largest meta-analysis on the association between antibiotic use and efficacy of ICI, and the only one to address RR and PD to-date. Association between antibiotics and clinical outcomes. Conclusion We demonstrated a significant association between antibiotic use and unfavorable clinical outcomes in patients with cancer receiving ICI. Such patients may be an important target group for antibiotic stewardship interventions. The high heterogeneity across all outcomes underscores the need for more detailed, patient-level studies with stratification by host, antibacterial and cancer treatment factors. Disclosures All Authors: No reported disclosures

scholarly journals Higher CD4/CD8 ratio of pleural effusion predicts better survival for lung cancer patients receiving immune checkpoint inhibitors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Po-Hsin Lee ◽  
Tsung-Ying Yang ◽  
Kun-Chieh Chen ◽  
Yen-Hsiang Huang ◽  
Jeng-Sen Tseng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Pleural Effusion ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Lung Cancer Patients ◽  
Predicting Factor ◽  
Type 3

AbstractPleural effusion is a rare immune-related adverse event for lung cancer patients receiving immune checkpoint inhibitors (ICIs). We enrolled 281 lung cancer patients treated with ICIs and 17 were analyzed. We categorized the formation of pleural effusion into 3 patterns: type 1, rapid and massive; type 2, slow and indolent; and type 3, with disease progression. CD4/CD8 ratio of 1.93 was selected as the cutoff threshold to predict survival. Most patients of types 1 and 2 effusions possessed pleural effusion with CD4/CD8 ratios ≥ 1.93. The median OS time in type 1, 2, and 3 patients were not reached, 24.8, and 2.6 months, respectively. The median PFS time in type 1, 2, and 3 patients were 35.5, 30.2, and 1.4 months, respectively. The median OS for the group with pleural effusion CD4/CD8 ≥ 1.93 and < 1.93 were not reached and 2.6 months. The median PFS of those with pleural effusion CD4/CD8 ≥ 1.93 and < 1.93 were 18.4 and 1.2 months. In conclusion, patients with type 1 and 2 effusion patterns had better survival than those with type 3. Type 1 might be interpreted as pseudoprogression of malignant pleural effusion. CD4/CD8 ratio ≥ 1.93 in pleural effusion is a good predicting factor for PFS.

Inflammatory myositis in cancer patients receiving immune checkpoint inhibitors

2021 ◽  
Author(s):  
Sudhakar Tummala ◽  
Xerxes Pundole ◽  
Jeffrey Aldrich ◽  
Maria E. Suarez‐Almazor
Keyword(s):  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Inflammatory Myositis
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