Neutrophil activation and collagen metabolism in lung cancer

MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis

Probabilistic association discovery aims at identifying the association between random vectors, regardless of number of variables involved or linear/nonlinear functional forms. Recently, applications in high-dimensional data have generated rising interest in probabilistic association discovery. We developed a framework based on functions on the observation graph, named MeDiA (Mean Distance Association). We generalize its property to a group of functions on the observation graph. The group of functions encapsulates major existing methods in association discovery, e.g. mutual information and Brownian Covariance, and can be expanded to more complicated forms. We conducted numerical comparison of the statistical power of related methods under multiple scenarios. We further demonstrated the application of MeDiA as a method of gene set analysis that captures a broader range of responses than traditional gene set analysis methods.

High plasma level of plasmin-alpha 2-plasmin inhibitor complex is predictor of poor prognosis in patients with lung cancer

The occurrence of thrombotic complications is commonly associated with poor prognosis in patients with malignancy. However, the prognostic significance of the subclinical activation of the clotting system, frequently observed in cancer patients, is unknown. The purpose of the present study was to evaluate the value of the pre-thrombotic state for predicting survival of lung cancer patients. This investigation comprised 70 lung cancer patients without clinical or laboratory diagnosis of intravascular coagulation. There were 49 cases with non-small and 21 with small cell carcinomas. Samples taken in controls were available for comparison. The clotting system was assessed measuring thrombin-antithrombin III complex (TAT) and plasmin-alpha 2-plasmin inhibitor complex (PAP). The independent value of these clotting markers to predict survival was evaluated in relation with previously well-established prognostic factors for lung cancer patients. Plasma concentration of each parameter was significantly higher in cancer patients as compared to that of controls. The plasma level of PAP was a predictor of survival independently from the stage of disease, sex, age, histological type, performance status, tumor size and the presence of distant metastasis. Discriminant analysis of PAP plasma concentration identified 2 groups with significant difference in survival rate in all patients, cases in advanced stages of disease and in those with small and non-small cell lung cancer. The results of the present study showed prognostic significance of the subclinical activation of the clotting system, particularly of the fibrinolytic pathway, in lung cancer. Newly developed markers of fibrinolysis might be potentially applicable for predicting outcome in malignancy.