| Literature DB >> 35629212 |
Masahiro Shiihara1, Toru Furukawa1.
Abstract
Cell models are indispensable for the research and development of cancer therapies. Cancer medications have evolved with the establishment of various cell models. Patient-derived cell lines are very useful for identifying characteristic phenotypes and susceptibilities to anticancer drugs as well as molecularly targeted therapies for tumors. However, conventional 2-dimensional (2D) cell cultures have several drawbacks in terms of engraftment rate and phenotypic changes during culture. The organoid is a recently developed in vitro model with cultured cells that form a three-dimensional structure in the extracellular matrix. Organoids have the capacity to self-renew and can organize themselves to resemble the original organ or tumor in terms of both structure and function. Patient-derived cancer organoids are more suitable for the investigation of cancer biology and clinical medicine than conventional 2D cell lines or patient-derived xenografts. With recent advances in genetic analysis technology, the genetic information of various tumors has been clarified, and personalized medicine based on genetic information has become clinically available. Here, we have reviewed the recent advances in the development and application of patient-derived cancer organoids in cancer biology studies and personalized medicine. We have focused on the potential of organoids as a platform for the identification and development of novel targeted medicines for pancreatobiliary cancer, which is the most intractable cancer.Entities:
Keywords: cancer; organoid; patient-derived cancer model; personalized medicine; precision medicine
Year: 2022 PMID: 35629212 PMCID: PMC9146789 DOI: 10.3390/jpm12050789
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Figure 1Applications of patient-derived organoids. Organoids have various potential applications in regenerative medicine, host-pathogen interaction models, hereditary disease models, and cancer models.
Previous reports of personalized medicine model combined patients-derived cancer organoids.
| No | Author | Year | Precision Medicine | Organ |
|---|---|---|---|---|
| 1 | Pauli C, et al. | 2017 | Drug screening (High-throughput) | Various Cancer |
| 2 | Broutier L, et al. | 2018 | Drug screening (Genome-editing target therapy) | Liver |
| 3 | Sachs N, et al. | 2018 | Drug screening (Genome-editing target therapy) | Breast |
| 4 | Gilles ME, et al. | 2018 | Drug screening (Genome-editing target therapy) | Pancreas |
| 5 | Mazzocchi AR, et al. | 2019 | Drug screening (Genome-editing target therapy) | Mesothelioma |
| 6 | Hou S, et al. | 2019 | Drug screening (High-throughput) | Pancreas |
| 7 | Saito Y, et al. | 2019 | Drug screening (High-throughput) | Biliary |
| 8 | Kim M, et al. | 2019 | Drug screening (High-throughput) | Lung |
| 9 | Votanopoulos KI, et al. | 2019 | Drug screening | Appendiceal |
| 10 | Kijima T, et al. | 2019 | Drug screening | Oropharyngeal and Esophageal |
| 11 | Neal JT, et al. | 2019 | Immunotherapy | Melanoma, |
| 12 | Ramamoorthy P, et al. | 2019 | Drug screening (Clinical available drugs) | Lung |
| 13 | Li L, et al. | 2019 | Drug screening | Lung |
| 14 | Grassi L, et al. | 2019 | Drug screening | Renal Cell |
| 15 | Schnalzger TE, et al. | 2019 | Immunotherapy | Colorectal |
| 16 | Driehuis E, et al. | 2019 | Drug screening | Oral |
| 17 | Ubink I, et al. | 2019 | Drug screening (HIPEC) | Colon |
| 18 | Tung KL, et al. | 2019 | Drug screening (Genome-editing target therapy) | Colon |
| 19 | Driehuis E, et al. | 2019 | Drug screening (multiple) | Pancreas |
| 20 | Jacob F, et al. | 2020 | Immunotherapy | Glioblastoma |
| 21 | Maenhoudt N, et al. | 2020 | Drug screening (High-throughput) | Ovary |
| 22 | Narasimhan V, et al. | 2020 | Drug screening (High-throughput) | Colorectal |
| 23 | Forsythe SD, et al. | 2020 | Drug screening (HIPEC) | Colon, Appndiceal |
| 24 | Chen JH, et al. | 2020 | Drug screening (High-throughput) | Lung |
| 25 | Shiihara, et al. | 2021 | Drug screening (Genome-editing target therapy) | Pancreato-Biliary |
| 26 | Li Z, et al. | 2021 | Drug screening (High-throughput) | Lung |
| 27 | Luo X, et al. | 2021 | Drug screening | Colon |
| 28 | Jiang S, et al. | 2021 | Drug screening (High-throughput) | Various Cancer |
| 29 | Chen D, et al. | 2021 | Drug screening | Thyroid |
| 30 | Bie Y, et al. | 2021 | Drug screening (Genome-editing target therapy) | Lung |
| 31 | Park M, et al. | 2021 | Radiation treatment | Rectal |
| 32 | Ding RB, et al. | 2021 | Drug screening, Chemoradiation | Nasopharyngeal |
| 33 | Bi J, et al. | 2021 | Drug screening | Gynecologic |
| 34 | Forsythe SD, et al. | 2021 | Immunotherapy | Appendiceal |
| 35 | Larsen BM, et al. | 2021 | Drug screening (High-throughput) | Various Cancer |
| 36 | Bi J, et al. | 2021 | Drug screening | Endometrial |
| 37 | Maier CF, et al. | 2021 | Drug screening (Clinical available drugs) | Biliary |
| 38 | Kazama A, et al. | 2021 | Drug screening | Renal Cell |
| 39 | Kryeziu K, et al. | 2021 | Drug screening | Rectal |
| 40 | Gong Z, et al. | 2021 | Immunotherapy | Bladder |
| 41 | M Kholosy W, et al. | 2021 | Immunotherapy | Neuroblastoma |
| 42 | Boos SL, et al. | 2022 | Drug screening | Colorectal |
| 43 | Dong Y, et al. | 2022 | Drug screening | Hypopharyngeal |
| 44 | Grossman JE, et al. | 2022 | Drug screening | Pancreas |
| 45 | Cho YW, et al. | 2022 | Drug screening (Clinical available drugs) | Colorectal |
| 46 | Reed MR, et al. | 2022 | Drug screening | Glioblastoma |
| 47 | Yuan B, et al. | 2022 | Drug screening (Clinical available drugs) | Gallbladder |
Figure 2The genotype-oriented personalized medicine model we advocate combining comprehensive genotyping and organoid cultures. By combining exome sequencing and organoid culture, our model enabled the identification of genotype-oriented targets for personalized medicine and tested the efficacy of candidate targeted drugs in organoids.