pH-Ultrasensitive Membranolytic Polyesters with Alternating Sequence of Ionizable and Hydrophobic Groups for Selective Oncolytic Therapy

Oncolytic therapy, inducing cell death via cell membrane lysis, holds considerable promise in cancer treatment. However, achieving precise control over the structure and function of oncolytic materials for highly selective oncolytic therapy is a key challenge in the context of the subtle differences between tumor and normal tissues/cells. Herein, we report the development of pH-ultrasensitive oncolytic polyesters (pOPs) with an alternating sequence of ionizable and hydrophobic groups. This design enables a refined "OFF" to "ON" switch within 0.2 pH units, ensuring high selectivity in membranolytic activity and cytotoxicity of pOPs between the pH levels of normal tissues and tumor acidity. The top-performing pOP, P(P-AC7), demonstrated a maximum tolerated dose of >100 mg kg<sup>-1</sup> after intravenous administration and potent cytotoxicity at pH 6.8. Notably, the molecular weight of P(P-AC7) had a minimal effect on its pH-dependent cytotoxicity once the degree of polymerization was ≥49, ensuring consistency in properties across batches. P(P-AC7) exerts membranolytic activity by interacting with phosphatidylserine at pH 6.8 and shows high antitumor efficacy in various tumor models. Overall, we developed a strategy to develop oncolytic polymers with a precise structure for selective oncolytic therapy.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2024-12-28
DOI
https://doi.org/10.1021/jacs.4c14199
Citations
11
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
2.03

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article

pH-Ultrasensitive Membranolytic Polyesters with Alternating Sequence of Ionizable and Hydrophobic Groups for Selective Oncolytic Therapy

Yueling Yuan, Menghua Xiong, Chanjuan Su, Wei Xu et al.
11 citations
Journal of the American Chemical Society
Nanoplatforms for cancer theranostics
2.03
article

pH-Ultrasensitive Membranolytic Polyesters with Alternating Sequence of Ionizable and Hydrophobic Groups for Selective Oncolytic Therapy

Yueling Yuan, Menghua Xiong, Chanjuan Su, Wei Xu, Yan Bao, Lifang Liang, Yuxuan Zeng, Jihong Wang, Yulin Yao
article en
11 citations

Abstract

Oncolytic therapy, inducing cell death via cell membrane lysis, holds considerable promise in cancer treatment. However, achieving precise control over the structure and function of oncolytic materials for highly selective oncolytic therapy is a key challenge in the context of the subtle differences between tumor and normal tissues/cells. Herein, we report the development of pH-ultrasensitive oncolytic polyesters (pOPs) with an alternating sequence of ionizable and hydrophobic groups. This design enables a refined "OFF" to "ON" switch within 0.2 pH units, ensuring high selectivity in membranolytic activity and cytotoxicity of pOPs between the pH levels of normal tissues and tumor acidity. The top-performing pOP, P(P-AC7), demonstrated a maximum tolerated dose of >100 mg kg<sup>-1</sup> after intravenous administration and potent cytotoxicity at pH 6.8. Notably, the molecular weight of P(P-AC7) had a minimal effect on its pH-dependent cytotoxicity once the degree of polymerization was ≥49, ensuring consistency in properties across batches. P(P-AC7) exerts membranolytic activity by interacting with phosphatidylserine at pH 6.8 and shows high antitumor efficacy in various tumor models. Overall, we developed a strategy to develop oncolytic polymers with a precise structure for selective oncolytic therapy.

Journal of the American Chemical SocietyVol. 147(1)
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Key Laboratory of Guangdong Province (CN), NIHR Surgical Reconstruction and Microbiology Research Centre (GB), South China University of Technology (CN)
National Natural Science Foundation of China, Guangdong Provincial Pearl River Talents Program, National Key Research and Development Program of China, Science and Technology Planning Project of Guangdong Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 13%
Nanoplatforms for cancer theranostics
2.03
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