6 research outputs found

    Effective Management of Nasal Vestibule Squamous Cell Carcinoma with Cemiplimab: A Case Report

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    Nasal vestibule squamous cell carcinoma (SCC) is a rare malignancy with limited treatment options. This case report presents an 83-year-old female with SCC of the nasal vestibule who was ineligible for surgery or radiotherapy due to various factors. The patient was successfully treated with cemiplimab, a systemic anti-PD-1 antibody, resulting in a remarkable tumor reduction without any observed side effects. This is the first reported case of nasal vestibule SCC treated with cemiplimab, highlighting its potential as a promising therapeutic option

    A Retrospective Study of Cemiplimab Effectiveness in Elderly Patients with Squamous Cell Carcinoma of the Skin: Insights from a Real-Life Scenario

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    Abstract Introduction This retrospective study investigates the efficacy of cemiplimab, a monoclonal antibody targeting the PD-1 receptor, in treating squamous cell carcinoma (SCC) of the skin. Methods The study analyzes data from 50 patients with SCC, focusing on various clinical parameters, including patient demographics, tumor characteristics, treatment history, disease status at the beginning of therapy, and survival outcomes. Results Of the patients who received at least one cycle of cemiplimab, 42% showed a clinical response. Adverse reactions were generally low, with the safety profile deemed excellent. During a median follow-up of 9.6 months, 17 patients experienced progression or death. Among these, 15 patients had died at the time of the analysis. The median progression-free survival (PFS) for the entire cohort was approximately 20.8 months, while median overall survival (OS) was not reached. Univariate Cox regression analysis for PFS showed that tumors in the arms and legs were associated with higher progression risk, while age above 65 years was not statistically significant. Distant metastasis exhibited a trend towards improved PFS. In terms of OS, distant metastasis was a significant predictor of reduced survival, while age above 65 years was not statistically significant. In a multivariate model, only the absence of distant metastasis remained significant, with an adjusted odds ratio (OR) of 12.3 (95% confidence interval 1.3–112.1). Conclusion These findings provide valuable insights into the real-world effectiveness of cemiplimab in SCC management

    Significance of PD-L1 in Metastatic Urothelial Carcinoma Treated With Immune Checkpoint Inhibitors

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    Importance Immune checkpoint inhibitors (ICIs) have broadened the metastatic urothelial carcinoma (mUC) therapeutic scenario. The association of programmed death ligand 1 (PD-L1) with response and survival in patients treated with ICIs is still controversial. Objectives To evaluate the association of PD-L1 with response rate and overall survival among patients with mUC treated with ICIs. Data Sources PubMed, Embase, American Society of Clinical Oncology and European Society for Medical Oncology Meeting Libraries, and Web of Science were searched up to December 10, 2023. Study Selection Two authors independently screened the studies. Included studies were randomized and nonrandomized clinical trials enrolling patients with mUC receiving ICIs with available overall survival (OS), progression-free survival (PFS), or overall response rate (ORR) data, separated between patients with PD-L1-positive and -negative tumors. Data Extraction and Synthesis The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed. Two reviewers independently extracted data. Fixed- or random-effects models were used depending on the heterogeneity among the studies. Main Outcomes and Measures Primary outcomes were odds ratios (ORs) for ORR and hazard ratios (HRs) for OS, comparing patients with PD-L1-positive tumors and patients with PD-L1-negative tumors. Secondary outcomes were the PFS HR between patients with PD-L1-positive and -negative tumors and OS HR between ICI arms and non-ICI arms of only randomized clinical trials. Results A total of 14 studies were selected, comprising 5271 patients treated with ICIs (2625 patients had PD-L1-positive tumors). The ORR was 13.8% to 78.6% in patients with PD-L1-positive tumors and 5.1% to 63.2% in patients with PD-L1-negative tumors, with an association between PD-L1 status and ORR favoring patients with PD-L1-positive tumors (OR, 1.94; 95% CI, 1.47-2.56; P < .001). Median OS ranged from 8.4 to 24.1 months in patients with PD-L1-positive tumors and from 6.0 to 19.1 months in patients with PD-L1-negative tumors. The pooled HR showed a significant reduction for patients with PD-L1-positive tumors compared with those with PD-L1-negative tumors in the risk of death (HR, 0.71; 95% CI, 0.57-0.89; P = .003) and risk of progression (HR, 0.55; 95% CI, 0.44-0.69; P < .001) when ICIs were administered. PD-L1 is not likely to be a predictive biomarker of ICI response. Conclusions and Relevance This systematic review and meta-analysis suggests that PD-L1 expression is associated with improved ORR, OS, and PFS for patients with mUC who receive ICIs, but it is unlikely to be useful as a predictive biomarker. Developing predictive biomarkers is essential to select patients most likely to benefit from ICIs and avoid toxic effects and financial burden with these agents

    Significance of PD-L1 in Metastatic Urothelial Carcinoma Treated With Immune Checkpoint Inhibitors

    No full text
    Importance Immune checkpoint inhibitors (ICIs) have broadened the metastatic urothelial carcinoma (mUC) therapeutic scenario. The association of programmed death ligand 1 (PD-L1) with response and survival in patients treated with ICIs is still controversial. Objectives To evaluate the association of PD-L1 with response rate and overall survival among patients with mUC treated with ICIs. Data Sources PubMed, Embase, American Society of Clinical Oncology and European Society for Medical Oncology Meeting Libraries, and Web of Science were searched up to December 10, 2023. Study Selection Two authors independently screened the studies. Included studies were randomized and nonrandomized clinical trials enrolling patients with mUC receiving ICIs with available overall survival (OS), progression-free survival (PFS), or overall response rate (ORR) data, separated between patients with PD-L1-positive and -negative tumors. Data Extraction and Synthesis The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed. Two reviewers independently extracted data. Fixed- or random-effects models were used depending on the heterogeneity among the studies. Main Outcomes and Measures Primary outcomes were odds ratios (ORs) for ORR and hazard ratios (HRs) for OS, comparing patients with PD-L1-positive tumors and patients with PD-L1-negative tumors. Secondary outcomes were the PFS HR between patients with PD-L1-positive and -negative tumors and OS HR between ICI arms and non-ICI arms of only randomized clinical trials. Results A total of 14 studies were selected, comprising 5271 patients treated with ICIs (2625 patients had PD-L1-positive tumors). The ORR was 13.8% to 78.6% in patients with PD-L1-positive tumors and 5.1% to 63.2% in patients with PD-L1-negative tumors, with an association between PD-L1 status and ORR favoring patients with PD-L1-positive tumors (OR, 1.94; 95% CI, 1.47-2.56; P &lt; .001). Median OS ranged from 8.4 to 24.1 months in patients with PD-L1-positive tumors and from 6.0 to 19.1 months in patients with PD-L1-negative tumors. The pooled HR showed a significant reduction for patients with PD-L1-positive tumors compared with those with PD-L1-negative tumors in the risk of death (HR, 0.71; 95% CI, 0.57-0.89; P = .003) and risk of progression (HR, 0.55; 95% CI, 0.44-0.69; P &lt; .001) when ICIs were administered. PD-L1 is not likely to be a predictive biomarker of ICI response. Conclusions and Relevance This systematic review and meta-analysis suggests that PD-L1 expression is associated with improved ORR, OS, and PFS for patients with mUC who receive ICIs, but it is unlikely to be useful as a predictive biomarker. Developing predictive biomarkers is essential to select patients most likely to benefit from ICIs and avoid toxic effects and financial burden with these agents
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