| abstract |
Provided herein is a method of classifying a patient. An implementation of the present method may include the steps of i) determining, for a tumor sample obtained from a patient diagnosed with a B-cell malignancy, a) the proportion of activated memory CD4+ T-cells among a plurality of lymphocytes, b) the number of tyrosine residues in idiotype first complementarity determining region (CDR1) amino acid sequences, and c) the selection pressure on nucleotide sequences encoding idiotype CDRs, and ii) predicting whether the patient will exhibit a clinically beneficial response to an anti-tumor vaccine therapy based on an integrative evaluation of the proportion of T-cells, the number of tyrosine residues, and the selection pressure determined for the tumor sample. |