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Background: Malignant pleural mesothelioma (MPM) is a rare but aggressive tumor that originates from the pleura and has a poor prognosis. Eligible patients can benefit from surgery, but their survival is affected by many factors. Therefore, we created a graphic model that could predict the prognosis of surgically treated patients. Methods: We retrospectively analyzed data from the Surveillance, Epidemiology, and End Results database from 2004 to 2014 to identify the key factors affecting the prognosis of surgically treated MPM patients. On this basis we built a nomogram to predict survival. We then evaluated the performance of the nomogram in a validation cohort. Results: In a training cohort of 828 cases, independent prognostic factors, including age, gender, histological type, differentiation, N stage, chemotherapy, type of surgery, and lymph node dissection, were identified. We then developed a nomogram to evaluate individual patient survival. In Kaplan–Meier analysis, a higher score in the nomogram was associated with a worse prognosis. We also used a validation cohort consisting of 312 patients to evaluate the performance of the nomogram, which was well calibrated and had good discrimination ability, with concordance indices of 0.715 and 0.656 for the training and validation cohorts, respectively. Conclusion: This study has improved our understanding of resected MPM and shown that key factors, including age and histological type, are associated with overall survival. The nomogram is a reliable tool that can help clinicians turn individualized prediction into reality and maximize patient benefit by identifying the most beneficial treatment approach. [ABSTRACT FROM AUTHOR]

Objective: To examine the expression of hypoxia-inducible factor-1α (HIF-1α) and its related molecules (cellular repressor of E1A-stimulated genes [CREG], osteopontin [OPN], proto-oncogene tyrosine-protein kinase Src [c-Src], and vascular endothelial growth factor [VEGF]) in juvenile nasopharyngeal angiofibroma (JNA) and explore the correlation between clinical prognosis and HIF-1α expression. Methods: The study performed a retrospective review of the clinical records of patients with JNA treated between 2003 and 2007. Specimens were analyzed by immunohistochemistry for HIF-1α, CREG, OPN, c-Src, and VEGF expression, and microvessel density (MVD) was assessed by tissue microarray. The correlation between expression levels and clinicopathological features including age, tumor stage, intraoperative blood loss, and recurrence was analyzed. Results: HIF-1α, CREG, OPN, c-Src, and VEGF were upregulated in endothelial cells (ECs) of patients with JNA, and strong correlations in the expression of these molecules were observed. HIF-1α expression was higher in young patients (P = .032) and in recurrent cases (P = .01). Survival analysis showed that low HIF-1α levels in ECs predicted longer time to recurrence (log rank test P = .006). Receiver operating characteristic curve analysis showed that HIF-1α was a prognostic factor for recurrence (area under the curve = 0.690, P = .019). No correlation was found between the expression of molecules and Radkowski stage or intraoperative blood loss. Conclusion: In cases of JNA treated surgically, HIF-1α expression in ECs is a useful prognostic factor for tumor recurrence. [ABSTRACT FROM AUTHOR]

Background: Gemcitabine plus cisplatin (GP) is commonly used to treat lung squamous cell carcinoma (SCC); however, it is not clear which subgroup of lung SCC patients could benefit most from GP treatment. We explored the predictive factors in lung SCC patient cohorts. Methods: Seventy‐eight lung SCC patients treated with a first‐line GP regimen were enrolled in this retrospective cohort study. Progression‐free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method. Classification tree models were used to explore the risk factors for PFS and OS in these patients. Results: The median PFS and OS in SCC patients treated with a GP regimen were 6.0 and 13.6 months, respectively. Three terminal subgroups were formed for both PFS and OS. The subgroup with a body mass index (BMI) > 23.94 kg/m2 and aged ≤ 54.5 had the longest PFS (9.0 months); the subgroup with a BMI < 23.94  kg/m2 and aged ≤ 54.5 had the shortest PFS (4.05 months). Patients with an objective response (partial or complete response) to treatment had the longest OS (20.0 months), while patients with a BMI ≤ 26.92 kg/m2 and stable or progressive disease as the best response had the shortest OS (11.2 months). Conclusions: BMI and age may be predictors of PFS in lung SCC patients who receive GP treatment. BMI and best response to GP treatment predicts OS in such patients. Patients’ clinical pathological characteristics may be used to predict the therapeutic efficacy of chemotherapy and survival. [ABSTRACT FROM AUTHOR]

Background: Acute-on-chronic liver failure (ACLF) is always associated with thrombocytopenia or leukocytosis. Therefor the platelet to white blood cell ratio (PWR) in ACLF patients is always reduced. Objectives: Here, we assessed the relationship between PWR and prognosis in ACLF patients. Methods: A retrospective cohort of 415 patients, including 100 patients that were diagnosed of chronic hepatitis B, 104 patients suffered of HBV-related liver cirrhosis and 211 patients suffered of HBV-related ACLF, was investigated. Univariate and multivariate COX models were used to investigate the relationship between PWR and 30-day survival in patients with ACLF. Factors affecting PWR in ACLF patients were also analysed using logistic regression analysis. Results: At baseline, the platelet count in patients with HBV-related ACLF was significantly lower than that in patients with CHB and patients suffered of HBV-related cirrhosis. The PWR value was much higher in the survivors of ACLF than in ACLF patients who died. PWR, age, total bilirubine, prothrombin activity, and aspartate transaminase were independent predictors of the 30-day survival rate of ACLF patients. We also found that ascites and infection were independent factors related to the decrease of PWR in ACLF patients. Conclusions: The PWR value was significant declined in ACLF patients. And it was independent risk factors for the survival rate of those patients. [ABSTRACT FROM AUTHOR]