Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer
The PC 3DP models demonstrated their utility as reliable preclinical tools, retaining key genomic and histological characteristics. Importantly, drug sensitivity profiles in these models showed potential correlations with clinical outcomes, indicating their promise in customizing treatment strategies and predicting patient prognoses. Further validation with larger patient cohorts is warranted to confirm their potential clinical utility.
Authors
- Changcan Li
- Liwei Du (ORCID: https://orcid.org/0000-0002-7706-5967)
- Mingchang Pang
- Xindi Ke (ORCID: https://orcid.org/0000-0001-6970-782X)
- Hang Sun (ORCID: https://orcid.org/0000-0003-1565-0308)
- Shangze Jiang
- Shunda Du (ORCID: https://orcid.org/0000-0002-9357-3259)
- Huayu Yang (ORCID: https://orcid.org/0000-0001-9791-3559)
- Yuan Pang (ORCID: https://orcid.org/0000-0003-3205-0830)
- Haitao Zhao (ORCID: https://orcid.org/0000-0002-3444-8044)
- Yilei Mao (ORCID: https://orcid.org/0000-0003-0449-4223)
- Bao Jin (ORCID: https://orcid.org/0000-0002-7488-8204)
- Yongliang Sun
- Minghao Sun (ORCID: https://orcid.org/0000-0002-1657-0740)
- Yanan Wang (ORCID: https://orcid.org/0009-0007-2744-7733)
- Shouxian Zhong
- Yan Wang (ORCID: https://orcid.org/0009-0002-3286-3516)
- Zhiying Yang
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- China-Japan Friendship Hospital (CN)
- Peking Union Medical College Hospital (CN)
- Beijing University of Technology (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1016/j.jare.2024.09.011
- Citations
- 11
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 2.03
Funders
- National Natural Science Foundation of China
- Peking Union Medical College Hospital