Back

Mechanisms regulating combination effect of antibody-drug conjugates and cancer immunotherapy

Tohumeken, S.; Mostafa, A.; Binjawadagi, R.; Mai, M.; Paucarmayta, A.; Merlano, A. M. M.; Youn, C.; Chang, E.; Shah, P.; Chow, H.; Moulton, W.; Luo, X.; Tam, K. B.; Flynn, M.; Wetzel, L.; Walseng, E.; Galery, E. H.; Boland, J.; Huntley, A.; Kiefer, C.; Zhang, J.; Mendoza-Topaz, C.; Cayatte, C.; Bergamaschi, C.; omar, B.; Sapra, P.; Cobbold, M.; sanseviero, E.; Gabrilovich, D.

2026-07-22 immunology
10.64898/2026.07.17.738956 bioRxiv
Show abstract

Antibody-drug conjugates (ADCs) have emerged as a transformative class of cancer therapeutics with important challenges still to be addressed. Combination of ADC with immunotherapy is a promising strategy but mechanisms and effective application remain to be determined. We evaluated ADC combinations with T cell engagers (TCEs) and checkpoint inhibitors (CPI). ADC-TCE combinations produced robust antitumor activity independent of antigen and payload and persisted despite ADC-related T cell loss. Efficacy was dominated by a direct effect of ADC on tumor cells. ADCs induced autophagy that upregulated TNF receptors (TNFRs) and mannose-6-phosphate receptors (M6PR). When ADCs were combined with TCEs TNF released by T cells was primarily responsible for potent antitumor effect of combination. In contrast, M6PR was dispensable for ADC-TCE activity but critical for combinations with CPI expanded antigen-specific T cells via enhanced granzyme B uptake. These data reveal a unifying, target- and payload-agnostic mechanism enabling rational ADC-immunotherapy combinations. SignificanceThis is first evidence that ADC-induced tumor cell autophagy via up-regulation of TNFR and M6PR could be responsible for potent antitumor effect of combination of ADC with TCE. TCEs exploit a TNF-TNFR axis, whereas antigen-specific T cells leverage granzyme B-M6PR uptake. This mechanistic framework explains broad ADC-TCE synergy and guides rational selection of ADC-immunotherapy combinations beyond checkpoint blockade.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.