实用肿瘤学杂志 ›› 2022, Vol. 36 ›› Issue (4): 346-350.doi: 10.11904/j.issn.1002-3070.2022.04.010

• 综述 • 上一篇    下一篇

卵巢癌类器官模型的研究进展和治疗新策略

孙阜圣, 徐冶, 张永健 综述, 娄阁 审校   

  1. 哈尔滨医科大学附属肿瘤医院妇科一病房(哈尔滨 150081)
  • 收稿日期:2021-10-11 修回日期:2021-11-29 出版日期:2022-08-28 发布日期:2022-08-29
  • 通讯作者: 娄阁,E-mail:louge@ems.hrbmu.edu.cn
  • 作者简介:孙阜圣,男,(1996-),硕士研究生,从事妇科肿瘤方向的研究。
  • 基金资助:
    国家自然科学基金面上项目(编号:81872507);Nn10计划(编号:Nn10py2017-01)

Research progress and new treatment strategies of ovarian cancer organoids

SUN Fusheng, XU Ye, ZHANG Yongjian, LOU Ge   

  1. The 1st Ward of Gynecology, Harbin Medical Cancer Hospital,Harbin 150081,China
  • Received:2021-10-11 Revised:2021-11-29 Online:2022-08-28 Published:2022-08-29

摘要: 卵巢癌是全球女性生殖系统三大恶性肿瘤之一,严重威胁着女性的生命健康。近年来,研究者不断改进卵巢癌的治疗手段,但是卵巢癌的5年生存率依然并不乐观。随着精准医疗的推行,类器官模型的临床前研究逐渐进入科研工作者的视野。本文旨在介绍卵巢癌相关实验类器官具有高度保持的肿瘤异质性、模拟肿瘤缺氧微环境、模拟肿瘤的发生转移、药物筛选和精准医学、基因编辑系统和模拟疾病。类器官模型库的建立可以改善卵巢癌治疗发展方向。在3D生物打印和类器官的联合下,有望成为未来药物筛选的新途径。

关键词: 卵巢癌, 类器官模型, 肿瘤微环境, 精准医疗, 3D生物打印技术

Abstract: Ovarian cancer is one of three major malignant tumors from female reproductive system in the world,which seriously threatens the life and health of women.In recent years,researchers have continued to improve the treatment of ovarian cancer,but the five-year survival rate of ovarian cancer are still not optimistic.With the implementation of precision medicine,the pre-clinical study of organoid body models has gradually entered the field of scientific researchers'vision.The purpose of this article is to introduce the highly maintained tumor heterogeneity of ovarian cancer related to experimental organoids,simulating tumor hypoxia microenvironment,simulating tumor occurrence and metastasis,drug screening and precision medicine,gene editing system,and stimulating disease.The establishment of organoid body model library can improve the development direction of ovarian cancer treatment.With the combination with 3D bio-printing and organoids,it is expected to become a new approach for drug screening in the future.

Key words: Ovarian cancer, Organoid body model, Tumor microenvironment, Precision medicine, 3D bio-printing technology

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