Abstract: Provided are recombinant polynucleotides, including expression vectors encoding an alpha chain and/or a beta chain of a TCR having amino acid sequences from any of novel the AL, KQ, PP, 19305CD8, BB, KB, ST, JD, 19305DP, PB-P, PB-T, and PB 13.2 T Cell Receptors (TCRs) that are embodiments of the invention. Cells comprising the polynucleotides are provided, as are libraries of the recombinant polynucleotides and expression vectors. Methods are provided and involve administering to an individual modified human T cells that express a novel recombinant TCR. The methods are for prophylaxis and/or therapy of an individual diagnosed with, suspected of having or at risk for developing or recurrence of a cancer, wherein the cancer includes cancer cells which express NY-ESO-1 and/or its highly homologous LAGE-1 antigen.

Abstract: Provided are recombinant polynucleotides, including expression vectors encoding an alpha chain and/or a beta chain of a TCR having amino acid sequences from any of novel the AL, KQ, PP, 19305CD8, BB, KB, ST, JD, 19305DP, PB-P, PB-T, and PB 13.2 T Cell Receptors (TCRs) that are embodiments of the invention. Cells comprising the polynucleotides are provided, as are libraries of the recombinant polynucleotides and expression vectors. Methods are provided and involve administering to an individual modified human T cells that express a novel recombinant TCR. The methods are for prophylaxis and/or therapy of an individual diagnosed with, suspected of having or at risk for developing or recurrence of a cancer, wherein the cancer includes cancer cells which express NY-ESO-1 and/or its highly homologous LAGE-1 antigen.

Abstract: A method for generating a model for epithelial ovarian cancer is presented, comprising the steps of obtaining a mass spectrum for each of a plurality of samples, segmenting each of the mass spectra into “bins,” and determining a plurality of relationships between two or more bins. One are more statistically significant factors are identified according to the determined plurality of relationships, and a predictive model is generated as a function of the one or more identified factors. A method of the present invention may further comprise the step of obtaining one or more nuclear magnetic resonance spectra of each of the samples, which are segmented into a plurality of bins. Combinations of mass spectra and NMR spectra may be used to determine the plurality of relationships. In other embodiments, methods for identifying the presence of EOC indicated by a biological sample of an individual are presented.