Predicting antigen-specific T-cell immunity against Wilms tumor 1 in hematologic cancer.

ABSTRACT: Wilms tumor 1 (WT1) is a tumor-associated antigen expressed in solid tumors and hematological malignancies. T-cell immunotherapies targeting WT1 are currently under development. To analyze endogenous T-cell responses against WT1, we trained computational models capable of detecting WT1-specific T-cell responses from T-cell receptor (TCR) sequencing data. We peptide-pulsed healthy donor and acute myeloid leukemia (AML) patient samples with VLDFAPPGA (VLD, WT1_37-45) and RMFPNAPYL (RMF, WT1_126-134) peptides, then sequenced the WT1 dextramer-positive CD8 + T-cells with single-cell RNA + TCRαβ sequencing. The TCRGP machine-learning TCR-classification method was trained with epitope-specific and control TCR repertoires, and we obtained AUROC values of 0.74 (VLD) and 0.75 (R

SUBMITTER: Ford BL 

PROVIDER: S-EPMC12589112 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature