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Current status and future outlook for patient-derived cancer models from a rare cancer research perspective
1Division of Rare Cancer Research, National Cancer Center Research Institute, Chuo-ku, Japan.
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.
Insights
Developing patient-derived cancer models is crucial for rare cancer research. These models improve drug development and clinical outcomes for rare malignancies like sarcomas.
Area of Science:
- Oncology
- Translational Research
- Cancer Modeling
Background:
- Rare cancers comprise approximately 200 malignancies with low incidence but significant collective prevalence.
- Challenges in rare cancer research include small patient numbers for clinical trials, leading to limited drug development and poorer outcomes.
- Adequate cancer models are essential for understanding tumor biology and predicting treatment responses.
Purpose of the Study:
- To review the current status of patient-derived rare cancer models.
- To discuss the challenges and opportunities in developing and utilizing these models.
- To highlight the importance of patient-derived models for rare cancer research, using sarcomas as a case study.
Main Methods:
- Review of existing literature on rare cancer models, focusing on patient-derived models.
- Analysis of challenges in establishing and using models for rare malignancies.
- Case study focusing on sarcoma models to illustrate broader issues.
Main Results:
- Patient-derived cancer models are scarce for most rare cancers, including sarcomas.
- Lack of adequate models hinders therapeutic development and clinical research.
- Multi-institutional collaboration is proposed as a solution to increase the availability of rare cancer models.
Conclusions:
- Patient-derived models are vital for advancing rare cancer research and treatment.
- Overcoming the scarcity of these models requires collaborative efforts.
- Novel rare cancer models will accelerate the development of effective therapies.
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