Controlled coupling of an ultrapotent auristatin warhead to cetuximab yields a next-generation antibody-drug conjugate for EGFR-targeted therapy of KRAS mutant pancreatic cancer.
Controlled coupling of an ultrapotent auristatin warhead to cetuximab yields a next-generation antibody-drug conjugate for EGFR-targeted therapy of KRAS mutant pancreatic cancer.
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DOI:
10.1038/s41416-020-01046-6
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发表时间:
2020-11
影响因子:
8.8
通讯作者:
Scott CJ
中科院分区:
文献类型:
--
作者:
Greene MK;Chen T;Robinson E;Straubinger NL;Minx C;Chan DKW;Wang J;Burrows JF;Van Schaeybroeck S;Baker JR;Caddick S;Longley DB;Mager DE;Straubinger RM;Chudasama V;Scott CJ
Antibody-drug conjugate (ADC) construction poses numerous challenges that limit clinical progress. In particular, common bioconjugation methods afford minimal control over the site of drug coupling to antibodies. Here, such difficulties are overcome through re-bridging of the inter-chain disulfides of cetuximab (CTX) with auristatin-bearing pyridazinediones, to yield a highly refined anti-epidermal growth factor receptor (EGFR) ADC. In vitro and in vivo assessment of ADC activity was performed in KRAS mutant pancreatic cancer (PaCa) models with known resistance to CTX therapy. Computational modelling was employed for quantitative prediction of tumour response to various ADC dosing regimens. Site-selective coupling of an auristatin to CTX yielded an ADC with an average drug:antibody ratio (DAR) of 3.9, which elicited concentration- and EGFR-dependent cytotoxicity at sub-nanomolar potency in vitro. In human xenografts, the ADC inhibited tumour growth and prolonged survival, with no overt signs of toxicity. Key insights into factors governing ADC efficacy were obtained through a robust mathematical framework, including target-mediated dispositional effects relating to antigen density on tumour cells. Together, our findings offer renewed hope for CTX in PaCa therapy, demonstrating that it may be reformatted as a next-generation ADC and combined with a predictive modelling tool to guide successful translation.
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影响因子:
8.4
作者:
Lee MTW;Maruani A;Richards DA;Baker JR;Caddick S;Chudasama V
通讯作者:
Chudasama V
影响因子:
4.7
作者:
Agarwal, Paresh;Bertozzi, Carolyn R.
通讯作者:
Bertozzi, Carolyn R.
DOI:
10.1016/j.ddtec.2018.09.004
发表时间:
2018-12-01
期刊:
Drug discovery today. Technologies
影响因子:
--
作者:
Forte, Nafsika;Chudasama, Vijay;Baker, James R
通讯作者:
Baker, James R
影响因子:
46.9
作者:
Lyon, Robert P.;Setter, Jocelyn R.;Senter, Peter D.
通讯作者:
Senter, Peter D.
影响因子:
5.7
作者:
Roy Chaudhuri T;Straubinger NL;Pitoniak RF;Hylander BL;Repasky EA;Ma WW;Straubinger RM
通讯作者:
Straubinger RM