Proximity-guided graph learning reveals tumour-associated proximity antigens
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TL;DR - A proximity-guided graph-learning atlas maps spatially associated membrane antigens in tumours and identifies EGFR–CDCP1 as a promising co-target pair. This could improve tumour killing by enabling multispecific therapeutics to exploit disease-associated antigen communities.
- Defines tumour-associated proximity antigens through proximity mapping and graph learning.
- Reveals disease-linked spatial communities of membrane proteins.
- Identifies EGFR and CDCP1 as a co-target pair for multispecific therapeutic strategies.
- Reports enhanced tumour killing from joint targeting, though the provided summary does not include quantitative results.
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Proximity-guided graph learning reveals tumour-associated proximity antigens
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TL;DR - A proximity-guided graph-learning atlas maps spatially associated membrane antigens in tumours and identifies EGFR–CDCP1 as a promising co-target pair. This could improve tumour killing by enabling multispecific therapeutics to exploit disease-associated antigen communities.
- Defines tumour-associated proximity antigens through proximity mapping and graph learning.
- Reveals disease-linked spatial communities of membrane proteins.
- Identifies EGFR and CDCP1 as a co-target pair for multispecific therapeutic strategies.
- Reports enhanced tumour killing from joint targeting, though the provided summary does not include quantitative results.