Induction of cell death in malignant cells and regulatory T cells in the tumor microenvironment by targeting CD137.

Regulatory T cells (Tregs) contribute significantly to the immunosuppressive nature of the tumor microenvironment which is a main barrier for immunotherapies of solid cancers. Reducing Treg numbers enhances anti-tumor immune responses but current depletion strategies also impair effector T cells (Teffs), potentially leading to reduced anti-tumor immunity and/or autoimmune diseases. CD137 has been identified as the most differentially expressed gene between peripheral Tregs and intratumoral Tregs in virtually all solid cancers.

Methods for generating the CD137L-DC-EBV-VAX anti-cancer vaccine.

Dendritic cells (DC) are professional antigen presenting cells (APCs) that can efficiently present captured antigens to cytotoxic T cells and initiate powerful antigen-specific responses. Therefore, DC have been explored for cancer immunotherapy. However, due to the scarcity of DCs in the peripheral blood, ex-vivo expansion is required to generate sufficient DCs before use.

Prediction of Anti-proliferation Effect of [1,2,3]Triazolo[4,5-d]pyrimidine Derivatives by Random Forest and Mix-Kernel Function SVM with PSO.

In order to predict the anti-gastric cancer effect of [1,2,3]triazolo[4,5-d]pyrimidine derivatives (1,2,3-TPD), quantitative structure-activity relationship (QSAR) studies were performed. Based on five descriptors selected from descriptors pool, four QSAR models were established by heuristic method (HM), random forest (RF), support vector machine with radial basis kernel function (RBF-SVM), and mix-kernel function support vector machine (MIX-SVM) including radial basis kernel and polynomial kernel function. Furthermore, the model built by RF explained the importance of the descriptors selected by HM.