植物化合物抗肿瘤作用的多靶点机制与治疗策略

1刘宸毓,2倪晓绒,2梁 一

肿瘤代谢与营养电子杂志 ›› 2025, Vol. 12 ›› Issue (5) : 524-534.

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肿瘤代谢与营养电子杂志 ›› 2025, Vol. 12 ›› Issue (5) : 524-534.
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植物化合物抗肿瘤作用的多靶点机制与治疗策略

  • 1刘宸毓,2倪晓绒,2梁 一
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The multi-target mechanism and therapeutic strategies of the anti-tumor effects of phytochemicals

  • 1Liu Chenyu,2Ni Xiaorong,2Liang Yi
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摘要

近年来,肿瘤因其高发病率和死亡率,已成为全球主要的公共健康挑战之一,传统治疗手段,如手术、化疗、放疗 等,虽在肿瘤治疗中发挥了重要作用,但仍存在不良反应显著、耐药性强等问题。 在此背景下,植物次生代谢产物凭借其天然 生物相容性、多靶点调控特性及低系统毒性优势,已在肿瘤化学防治及抗肿瘤新药研发领域成为持续关注的研究热点。 本文 基于植物化合物抗肿瘤相关研究文献,系统总结植物化合物种类、抗肿瘤作用机制、在肿瘤预防中的应用、联合治疗策略及药 代动力学特性,并探讨未来研究趋势与临床转化的挑战。

Abstract

In recent years cancer has become one of the major public health challenges worldwide due to its high incidence and mortality rates. Traditional treatment methods such as surgery chemotherapy and radiotherapy have played significant roles in tumor treatment but they still have notable side effects and strong drug resistance. Against this backdrop secondary metabolites from plants have become a continuous research focus in the field of tumor chemoprevention and the development of new anti-cancer drugs thanks to their natural biocompatibility multi - target regulatory properties and low systemic toxicity. This review systematically summarizes the types of plant compounds their anti - tumor mechanisms applications in cancer prevention combined treatment strategies and pharmacokinetic characteristics based on relevant research literature on plant compounds' anti - tumor effects and discusses future research trends and challenges in clinical translation.

关键词

植物化合物 / 肿瘤预防 / 肿瘤预防 / 抗肿瘤机制 / 联合治疗 / 代谢 / 药代动力学

Key words

Phytochemicals / Cancer prevention / Cancer treatment / Anti - tumor mechanism / Combined therapy / Metabolism / Pharmacokinetic

引用本文

导出引用
1刘宸毓,2倪晓绒,2梁 一. 植物化合物抗肿瘤作用的多靶点机制与治疗策略[J]. 肿瘤代谢与营养电子杂志. 2025, 12(5): 524-534
1Liu Chenyu,2Ni Xiaorong,2Liang Yi. The multi-target mechanism and therapeutic strategies of the anti-tumor effects of phytochemicals[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2025, 12(5): 524-534

基金

国家自然科学基金(82160616) 贵州省科技厅科学基金(〔2024〕071)

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