Abstract: The disclosure provides population and non-population-based classifiers to categorize patients and cancers. The population-based classifiers disclosed integrate signatures, i.e., global scores related to the expression of genes in particular gene panels. The non-population-based classifiers are generated using machine-learning techniques (e.g., regression, random forests, or ANN). Each type of classifier stratifies patients and cancers according to tumor microenvironments (TME) as biomarker-positive or biomarker-negative, and treatment decisions are then guided by the presence/absence of a particular TME. Also provided are methods for treating a subject, e.g., a human subject, afflicted with cancer comprising administering a particular therapy depending on the classification of the cancer's TME according to the disclosed classifiers.

Abstract: The present invention provides preparation of medicaments for use in treating and methods of treating cancer selected from the group consisting of gastric cancer, HCC, and RCC comprising a C8-H241 Ab, preferably, C8-H241-IgG4, more preferably, emibetuzumab, in combination, as described herein, with an anti-VEGFR2 Ab, preferably, ramucirumab.

Abstract: The present invention provides anti-VEGFR-3 monoclonal antibodies, pharmaceutical compositions containing said antibodies and uses of said antibodies in the treatment of disease.

Abstract: The present invention provides anti-VEGFR-3 monoclonal antibodies, pharmaceutical compositions containing said antibodies and uses of said antibodies in the treatment of disease.

Abstract: The present invention provides anti-VEGFR-3 monoclonal antibodies, pharmaceutical compositions containing said antibodies and uses of said antibodies in the treatment of disease.

Abstract: The present invention provides anti-VEGFR-3 monoclonal antibodies, pharmaceutical compositions containing said antibodies and uses of said antibodies in the treatment of disease.

Abstract: Primitive hematopoietic stem cells are closely associated with discrete in vivo microenvironments. These “niches” are thought to provide the molecular signals that mediate stem cell differentiation and self renewal. We have dissected the fetal liver microenvironment into distinct cellular components by establishing an extensive panel of stromal cell lines. One particular cell line maintains repopulating stem cells for prolonged in vitro culture periods. A subtraction cloning strategy has yielded a cDNA which encodes a cell surface glycoprotein with a restricted pattern of expression among stromal cell lines. This molecule, previously identified as dlk/Pref-1, contains EGF-like repeats which are related to those in the Notch/Delta/Serrate family of proteins. We have investigated the potential role of this molecule in hematopoietic stem/progenitor cell regulation.