Abstract: The present disclosure relates to compositions comprising compounds or cells able to specifically bind immunoglobulin kappa (IgKappa) and membrane molecule CD 19 under physiological conditions. In particular, the disclosure relates to a combinatorial chimeric antigen receptor (cCAR) with antigen binding domains specific for the antigen CD19 and the immunoglobulin (Ig) Kappa light chain and their expression in immune effector cells to target cells expressing CD19 and IgKappa, and such immune cells for use in treating B-cell cancers.

Abstract: The present invention relates to nucleic acid molecules encoding chimeric antigen receptors (CARs) against the antigen CD37. The CARs disclosed herein have complementarity-determining regions (CDRs) derived from the potent monoclonal anti-CD37 antibody HH1, and may be used in immunotherapy to target cells expressing CD37. Such immunotherapy has a particular use in the treatment of B-cell cancers. The CARs of the present invention are highly functional in the redirection of immune cells to kill CD37+ cells, and include humanised CARs of particular use in medical therapy. The present invention also includes vectors comprising the above-described nucleic acid molecules, immune effector cells expressing the aforementioned CARs and the use of such immune effector cells in therapy, particularly adoptive transfer therapy, for cancer, including B-cell malignancies.

Abstract: Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.

Abstract: Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.

Abstract: Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.