bioRxivBioinformaticsPreprint
Expanding the definition of MHC Class I peptide binding promiscuity to support vaccine discovery across cancers with CARMEN
Michal Mateusz WaleroniD, Ashwin Adrian KalloriD, Aleksander PałkowskiiD, Emilia Daghir‐WojtkowiakiD, Piyush BoroleiD, Mikołaj KocikowskiiD, Karol PołomiD, Fabio MarinoiD, Beatriz MonterdeiD, Michele MastromatteiiD, Davide VendittiiD, Mark D. StaresiD, Ashita SinghiD, Theodore HuppiD, Christophe BattailiD, Alexander LairdiD, Cátia PesquitaiD, Luis ZapataiD, Stefan Nicholas SymeonidesiD, Ajitha RajaniD, Fabio Massimo ZanzottoiD, Javier A. AlfaroiD
Abstract
Promiscuity in T-cell antigen landscapes refers to the dual flexibility of peptides binding multiple MHC alleles and MHC alleles presenting diverse arrays of peptides. By understanding how neoantigens are shared across varied HLA backgrounds, promiscuity analysis can inform the selection of cancer-vaccine targets that reach a wider segment of the population and help refine patient stratification for diverse immunotherapies. We expand the concept of promiscuity to encompass peptides, MHC alleles, individuals, populations, and genomic regions. Our CARMEN database release harmonizes data from 72 publications (2,323 samples) across tissue types, with a focus on cancer. Using Gibbs clustering and dimensionality reduction (UMAP), we systematically map promiscuity and immunological versatility across these biological levels. Gene and mutation analysis reveals recurrent cancer mutations in highly promiscuous genomic regions, highly mutated cancer genes that avoid presented regions, and sheds light on genomic regions important to response to immunotherapy.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant calling
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 1
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