Unknown

Dataset Information

0

Rational Identification of Novel Antibody-Drug Conjugate with High Bystander Killing Effect against Heterogeneous Tumors.


ABSTRACT: Bystander-killing payloads can significantly overcome the tumor heterogeneity issue and enhance the clinical potential of antibody-drug conjugates (ADC), but the rational design and identification of effective bystander warheads constrain the broader implementation of this strategy. Here, graph attention networks (GAT) are constructed for a rational bystander killing scoring model and ADC construction workflow for the first time. To generate efficient bystander-killing payloads, this model is utilized for score-directed exatecan derivatives design. Among them, Ed9, the most potent payload with satisfactory permeability and bioactivity, is further used to construct ADC. Through linker optimization and conjugation, novel ADCs are constructed that perform excellent anti-tumor efficacy and bystander-killing effect in vivo and in vitro. The optimal conjugate T-VEd9 exhibited therapeutic efficacy superior to DS-8201 against heterogeneous tumors. These results demonstrate that the effective scoring approach can pave the way for the discovery of novel ADC with promising bystander payloads to combat tumor heterogeneity.

SUBMITTER: Guo Y 

PROVIDER: S-EPMC10987111 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Rational Identification of Novel Antibody-Drug Conjugate with High Bystander Killing Effect against Heterogeneous Tumors.

Guo Yu Y   Shen Zheyuan Z   Zhao Wenbin W   Lu Jialiang J   Song Yi Y   Shen Liteng L   Lu Yang Y   Wu Mingfei M   Shi Qiuqiu Q   Zhuang Weihao W   Qiu Yueping Y   Sheng Jianpeng J   Zhou Zhan Z   Fang Luo L   Che Jinxin J   Dong Xiaowu X  

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20240125 13


Bystander-killing payloads can significantly overcome the tumor heterogeneity issue and enhance the clinical potential of antibody-drug conjugates (ADC), but the rational design and identification of effective bystander warheads constrain the broader implementation of this strategy. Here, graph attention networks (GAT) are constructed for a rational bystander killing scoring model and ADC construction workflow for the first time. To generate efficient bystander-killing payloads, this model is ut  ...[more]

Similar Datasets

| S-EPMC4946713 | biostudies-literature
| S-EPMC5641945 | biostudies-literature
| S-EPMC8237573 | biostudies-literature
| S-EPMC6792174 | biostudies-literature
| S-EPMC7756782 | biostudies-literature
| S-EPMC2770032 | biostudies-literature
| S-EPMC10912007 | biostudies-literature
| S-EPMC10439577 | biostudies-literature
| S-EPMC4023420 | biostudies-literature
| S-EPMC7098807 | biostudies-literature