Expanding the concept of patient-derived xenografts cohorts in head and neck cancer: current and future perspectives.

Q3 Medicine 华西口腔医学杂志 Pub Date : 2021-12-01 DOI:10.7518/hxkq.2021.06.001
Zhi Yuan Zhang, Shu Yang Sun
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Abstract

Head and neck cancer is the seventh common cancer in the world, and various existing treatment strategies provide modest benefit for most patients with head and neck cancer. Meanwhile, therapeutic strategies lacking molecular typing significantly hinder the development of individualized treatment for head and neck cancer. In recent years, connected by preclinical models, the novel ideal has gradually reached a consensus in terms of facilitating inter-transformation of clinical problems and basic achievements. As a bridge between basic research and clinical transformation, patient-derived xenografts (PDX) models precisely replicate genetic characteristics and tumor evolution, which are displaying great vitality in elucidating the mechanism of tumorigenesis and progression. Moreover, cohorts composed of several PDX models highlight the unique advantages of mice for drug screening and biomarker analysis for patients. This ideal preclinical model explores potential treatment strategies suited the ethical standards as much as possible for patients.

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扩展头颈癌患者来源异种移植物队列的概念:当前和未来的观点。
头颈癌是世界上第七大常见癌症,现有的各种治疗策略对大多数头颈癌患者的疗效有限。同时,缺乏分子分型的治疗策略严重阻碍了头颈癌个体化治疗的发展。近年来,通过临床前模型的连接,在促进临床问题与基础成果的相互转化方面,新型理想逐渐达成共识。作为基础研究与临床转化的桥梁,患者源性异种移植(patient-derived xenografts, PDX)模型精确地复制了肿瘤的遗传特征和进化过程,在阐明肿瘤发生发展机制方面显示出巨大的活力。此外,由几种PDX模型组成的队列突出了小鼠在药物筛选和患者生物标志物分析方面的独特优势。这种理想的临床前模型探索了尽可能适合患者伦理标准的潜在治疗策略。
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来源期刊
华西口腔医学杂志
华西口腔医学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
6397
期刊介绍: West China Journal of Stomatology (WCJS, pISSN 1000-1182, eISSN 2618-0456, CN 51-1169/R), published bimonthly, is a peer-reviewed Open Access journal, hosted by Sichuan university and Ministry of Education of the People's Republic of China. WCJS was established in 1983 and indexed in Medline/Pubmed, SCOPUS, EBSCO, Chemical Abstract(CA), CNKI, WANFANG Data, etc.
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