Patient-derived organoid models help define personalized management of gastrointestinal cancer.

Patient-derived organoid models help define personalized management of gastrointestinal cancer.
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患者来源的类器官模型有助于定义胃肠癌的个性化管理。

DOI:
10.1002/bjs.10726
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发表时间:
2018-01
期刊:
The British journal of surgery
影响因子:
--
通讯作者:
van Dam RM
van Dam RM
中科院分区:
其他
文献类型:
--
作者:
Aberle MR;Burkhart RA;Tiriac H;Olde Damink SWM;Dejong CHC;Tuveson DA;van Dam RM

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不同胃肠道肿瘤患者的预后差异很大。尽管在治疗策略方面取得了进展,例如广泛切除和在化疗方案中加入新药,但常规治疗策略未能提高许多肿瘤的生存率。虽然有希望,但分子指导的个性化治疗的临床应用已被证明是具有挑战性的。这种叙事审查的重点是个性化的癌症治疗使用患者衍生的三维“类器官”模型。进行PubMed检索以识别相关文章。文献和已发表的协议的概述,并解释了这些模型对癌症患者,外科医生和肿瘤学家的影响。通过使用这些细胞培养物进行广泛的分子诊断和药物筛选,个性化治疗可能成为一种更标准的做法。药物敏感性测定可以给出患者肿瘤的临床上可操作的敏感性概况。然而,尚未在前瞻性临床试验中评估类器官药物筛选的预测能力。对类器官的高通量药物筛选,结合下一代测序,蛋白质组学分析和其他最先进的分子诊断方法,可以使癌症治疗变得更有效,副作用更少。
The prognosis of patients with different gastrointestinal cancers varies widely. Despite advances in treatment strategies,such as extensive resections and the addition of new drugs to chemotherapy regimens, conventional treatment strategies have failed to improve survival for many tumours. Although promising, the clinical application of molecularly guided personalized treatment has proven to be challenging. This narrative review focuses on the personalization of cancer therapy using patient derived three-dimensional ‘organoid’ models. A PubMed search was conducted to identify relevant articles. An overview of the literature and published protocols is presented, and the implications of these models for patients with cancer,surgeons and oncologists are explained. Personalized treatment could become a more standard practice by using these cell cultures for extensive molecular diagnosis and drug screening. Drug sensitivity assays can give a clinically actionable sensitivity profile of a patient’s tumour. However, the predictive capability of organoid drug screening has not been evaluated in prospective clinical trials. High-throughput drug screening on organoids, combined with next-generation sequencing, proteomic analysis and other state-of-the-art molecular diagnostic methods, can shape cancer treatment to become more effective with fewer side-effects.
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