Zhuoxin Zora Zhou, Davis Ballard, Tanvi Varadkar, Jiashuai Zhang, Zhantao Du, Ashley George, Aaron Krabacher, Rachel Yengo, Lufang Zhou, Xiaoguang Margaret Liu
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引用次数: 0
Abstract
Triple-negative breast cancer (TNBC), the most aggressive breast cancer subtype (ER-/PR-/HER2-), is characterized by rapid proliferation, high metastatic rate and frequent recurrence. The development of targeted therapies for TNBC, such as antibody-drug conjugates (ADCs), has been limited by the lack of promising cell surface receptors. Our recent findings revealed that lipolysis-stimulated lipoprotein receptor (LSR) is overexpressed in breast cancer patients. The objective of this study was to develop an anti-LSR monoclonal antibody (mAb) and ADC for TNBC treatment. We observed high transcript and surface expression of LSR across various breast cancer subtypes, with over 63% of TNBC patient tissue samples exhibiting elevated expression. A new mAb targeting the extracellular domain of LSR was developed, engineered, and evaluated in vitro and in vivo. The ADC, constructed by conjugating LSR mAb with a cytotoxic agent mertansine (DM1), demonstrated potent anti-TNBC cytotoxicity in three cell lines. In vivo anti-cancer efficacy was evaluated in two TNBC xenografted mouse models, where a 24 mg/kg-body weight dose of LSR mAb-DM1 reduced tumor burden by 85% in one model and prevented tumor regrowth in the second model. Notably, no off-target effects or systemic toxicity were observed in animal models during or after treatment. This study highlights LSR as a promising therapeutic target and the anti-LSR mAb and ADC as potential targeted therapies for TNBC.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.