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Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks

机译:患者衍生的癌症模型和下一代生活Biobanks的条件重新编程

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摘要

Traditional cancer models including cell lines and animal models have limited applications in both basic and clinical cancer research. Genomics-based precision oncology only help 2−20% patients with solid cancer. Functional diagnostics and patient-derived cancer models are needed for precision cancer biology. In this review, we will summarize applications of conditional cell reprogramming (CR) in cancer research and next generation living biobanks (NGLB). Together with organoids, CR has been cited in two NCI (National Cancer Institute, USA) programs (PDMR: patient-derived cancer model repository; HCMI: human cancer model initiatives. HCMI will be distributed through ATCC). Briefly, the CR method is a simple co-culture technology with a Rho kinase inhibitor, Y-27632, in combination with fibroblast feeder cells, which allows us to rapidly expand both normal and malignant epithelial cells from diverse anatomic sites and mammalian species and does not require transfection with exogenous viral or cellular genes. Establishment of CR cells from both normal and tumor tissue is highly efficient. The robust nature of the technique is exemplified by the ability to produce 2 × 106 cells in five days from a core biopsy of tumor tissue. Normal CR cell cultures retain a normal karyotype and differentiation potential and CR cells derived from tumors retain their tumorigenic phenotype. CR also allows us to enrich cancer cells from urine (for bladder cancer), blood (for prostate cancer), and pleural effusion (for non-small cell lung carcinoma). The ability to produce inexhaustible cell populations using CR technology from small biopsies and cryopreserved specimens has the potential to transform biobanking repositories (NGLB: next-generation living biobank) and current pathology practice by enabling genetic, biochemical, metabolomic, proteomic, and biological assays, including chemosensitivity testing as a functional diagnostics tool for precision cancer medicine. We discussed analyses of patient-derived matched normal and tumor models using a case with tongue squamous cell carcinoma as an example. Last, we summarized applications in cancer research, disease modeling, drug discovery, and regenerative medicine of CR-based NGLB.
机译:包括细胞系和动物模型在内的传统癌症模型在基础和临床癌症研究中具有有限的应用。基于基于基于基因组的精密肿瘤学只帮助2-20%的患者患者癌症。精密癌症生物学需要功能性诊断和患者衍生的癌症模型。在本文中,我们将总结癌症研究中有条件细胞重新编程(CR)的应用,下一代生物生物植物(NGLB)。与有机体,CR一起被引用在两个NCI(国家癌症研究所,美国)计划中引用(PDMR:患者衍生的癌症模型储存库; HCMI:人类癌症模型举措。HCMI将通过ATCC分发)。简而言之,Cr方法是一种简单的共同培养技术,其具有Rho激酶抑制剂,Y-27632与成纤维​​细胞饲养细胞组合,这使我们能够快速扩大来自不同的解剖部位和哺乳动物物种的正常和恶性上皮细胞不需要用外源性病毒或细胞基因转染。来自正常和肿瘤组织的Cr细胞的建立高效。通过肿瘤组织的核心活组织检查,该技术的强大性质是在五天内生产2×106个细胞的能力。正常Cr细胞培养物保留正常的核型和分化潜力,衍生自肿瘤的Cr细胞保留其致瘤表型。 CR还允许我们丰富尿液(对于膀胱癌),血液(用于前列腺癌)和胸腔积液(用于非小细胞肺癌)的癌细胞。使用来自小型活检和冷冻保存标本的CR技术产生取之不尽的细胞群的能力具有通过实现遗传,生物化学,代谢组,蛋白质组和生物学测定来改变生物汉储存库(NGLB:下一代生物学)和当前的病理学实践。包括化学敏感性测试作为精密癌症医学的功能诊断工具。我们讨论了用舌鳞状细胞癌作为一个例子的情况使用舌鳞状细胞癌的患者衍生匹配的正常和肿瘤模型的分析。最后,我们概述了Cr型NGLB的癌症研究,疾病建模,药物发现和再生药物的应用。

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