Literature DB >> 32986888

Current status and future outlook for patient-derived cancer models from a rare cancer research perspective.

Tadashi Kondo1.   

Abstract

Rare cancers are a group of approximately 200 malignancies with extremely low incidences and with a wide variety of genotypes and phenotypes. Collectively, they are more common than any single malignancy. However, given the small numbers of individuals diagnosed with rare cancers, it is difficult to design clinical trials with sufficient patient numbers. Therefore, few effective anticancer drugs have been developed, and evidence-based medicine is not always feasible for rare cancers. Consequently, their clinical outcomes are generally poorer. Cancer research requires adequate models that faithfully recapitulate molecular features and reproduce treatment responses of the original tumors. Such models allow us to focus on more efficacious drugs in the clinical studies. For rare cancers, patient-derived cancer models are particularly important because the enrollment of sufficient patients is rarely attainable within a reasonable period of time. However, extremely few models are available for rare cancers. For example, cell lines and xenografts are available for only a limited number of histological subtypes of sarcomas; therefore, most sarcoma research is performed without such models, and a lack of adequate cancer models causes a lag in therapeutic development. The establishment of novel rare cancer models will dramatically facilitate rare cancer research and treatment development in the near future. This review focuses on the status of patient-derived rare cancer models and discusses their pivotal problems and possibilities, using sarcomas as a representative rare cancer type. Multi-institutional collaboration will help address the scarcity of patient-derived rare cancer models.
© 2020 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

Entities:  

Keywords:  genomics; patient-derived cancer model; precision medicine; predictive biomarker; rare cancer

Year:  2021        PMID: 32986888     DOI: 10.1111/cas.14669

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  3 in total

1.  Establishment and characterization of NCC-DDLPS5-C1: a novel patient-derived cell line of dedifferentiated liposarcoma.

Authors:  Yooksil Sin; Yuki Yoshimatsu; Rei Noguchi; Ryuto Tsuchiya; Takuya Ono; Taro Akiyama; Shintaro Iwata; Jun Sugaya; Akihiko Yoshida; Akira Kawai; Tadashi Kondo
Journal:  Hum Cell       Date:  2022-03-15       Impact factor: 4.374

Review 2.  Patient-Derived Organoids in Precision Medicine: Drug Screening, Organoid-on-a-Chip and Living Organoid Biobank.

Authors:  Zilong Zhou; Lele Cong; Xianling Cong
Journal:  Front Oncol       Date:  2021-12-30       Impact factor: 6.244

3.  The CAM Model for CIC-DUX4 Sarcoma and Its Potential Use for Precision Medicine.

Authors:  Aoi Komatsu; Kotaro Matsumoto; Yuki Yoshimatsu; Yooksil Sin; Arisa Kubota; Tomoki Saito; Ayaka Mizumoto; Shinya Ohashi; Manabu Muto; Rei Noguchi; Tadashi Kondo; Fuyuhiko Tamanoi
Journal:  Cells       Date:  2021-10-01       Impact factor: 6.600

  3 in total

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