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

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 cance...

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Autores principales: Palechor-Ceron, Nancy, Krawczyk, Ewa, Dakic, Aleksandra, Simic, Vera, Yuan, Hang, Blancato, Jan, Wang, Weisheng, Hubbard, Fleesie, Zheng, Yun-Ling, Dan, Hancai, Strome, Scott, Cullen, Kevin, Davidson, Bruce, Deeken, John F., Choudhury, Sujata, Ahn, Peter H., Agarwal, Seema, Zhou, Xuexun, Schlegel, Richard, Furth, Priscilla A., Pan, Chong-Xian, Liu, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912808/
https://www.ncbi.nlm.nih.gov/pubmed/31717887
http://dx.doi.org/10.3390/cells8111327
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author Palechor-Ceron, Nancy
Krawczyk, Ewa
Dakic, Aleksandra
Simic, Vera
Yuan, Hang
Blancato, Jan
Wang, Weisheng
Hubbard, Fleesie
Zheng, Yun-Ling
Dan, Hancai
Strome, Scott
Cullen, Kevin
Davidson, Bruce
Deeken, John F.
Choudhury, Sujata
Ahn, Peter H.
Agarwal, Seema
Zhou, Xuexun
Schlegel, Richard
Furth, Priscilla A.
Pan, Chong-Xian
Liu, Xuefeng
author_facet Palechor-Ceron, Nancy
Krawczyk, Ewa
Dakic, Aleksandra
Simic, Vera
Yuan, Hang
Blancato, Jan
Wang, Weisheng
Hubbard, Fleesie
Zheng, Yun-Ling
Dan, Hancai
Strome, Scott
Cullen, Kevin
Davidson, Bruce
Deeken, John F.
Choudhury, Sujata
Ahn, Peter H.
Agarwal, Seema
Zhou, Xuexun
Schlegel, Richard
Furth, Priscilla A.
Pan, Chong-Xian
Liu, Xuefeng
author_sort Palechor-Ceron, Nancy
collection PubMed
description 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 × 10(6) 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.
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spelling pubmed-69128082020-01-02 Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks Palechor-Ceron, Nancy Krawczyk, Ewa Dakic, Aleksandra Simic, Vera Yuan, Hang Blancato, Jan Wang, Weisheng Hubbard, Fleesie Zheng, Yun-Ling Dan, Hancai Strome, Scott Cullen, Kevin Davidson, Bruce Deeken, John F. Choudhury, Sujata Ahn, Peter H. Agarwal, Seema Zhou, Xuexun Schlegel, Richard Furth, Priscilla A. Pan, Chong-Xian Liu, Xuefeng Cells Review 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 × 10(6) 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. MDPI 2019-10-27 /pmc/articles/PMC6912808/ /pubmed/31717887 http://dx.doi.org/10.3390/cells8111327 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Palechor-Ceron, Nancy
Krawczyk, Ewa
Dakic, Aleksandra
Simic, Vera
Yuan, Hang
Blancato, Jan
Wang, Weisheng
Hubbard, Fleesie
Zheng, Yun-Ling
Dan, Hancai
Strome, Scott
Cullen, Kevin
Davidson, Bruce
Deeken, John F.
Choudhury, Sujata
Ahn, Peter H.
Agarwal, Seema
Zhou, Xuexun
Schlegel, Richard
Furth, Priscilla A.
Pan, Chong-Xian
Liu, Xuefeng
Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title_full Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title_fullStr Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title_full_unstemmed Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title_short Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
title_sort conditional reprogramming for patient-derived cancer models and next-generation living biobanks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912808/
https://www.ncbi.nlm.nih.gov/pubmed/31717887
http://dx.doi.org/10.3390/cells8111327
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