The irreplaceable role of pathology for the clinical translation of patient-derived organoids in precision medicine

Zuoyu Liang , Ping Yang , Xinglong Zhu , Yihong Liu , Mumin Shao , Zaiyu Yang , Ji Bao

Precision Clinical Medicine ›› 2025, Vol. 8 ›› Issue (4) : pbaf032

PDF (434KB)
Precision Clinical Medicine ›› 2025, Vol. 8 ›› Issue (4) :pbaf032 DOI: 10.1093/pcmedi/pbaf032
Correspondence
research-article

The irreplaceable role of pathology for the clinical translation of patient-derived organoids in precision medicine

Author information +
History +
PDF (434KB)

Cite this article

Download citation ▾
Zuoyu Liang, Ping Yang, Xinglong Zhu, Yihong Liu, Mumin Shao, Zaiyu Yang, Ji Bao. The irreplaceable role of pathology for the clinical translation of patient-derived organoids in precision medicine. Precision Clinical Medicine, 2025, 8(4): pbaf032 DOI:10.1093/pcmedi/pbaf032

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgements

This research was supported by the National Natural Science Foundation of China (grant Nos. 82570757, 82270662), Sichuan Provincial Science and Technology Program (grant No. 2024CDZG-25), and Sanming Project of Medicine in Shenzhen (grant No. SZSM202411031)..

Author contributions

Zuoyu Liang (Writing - original draft), Ping Yang (Writing - original draft), Xinglong Zhu (Writing - review & editing), Yihong Liu (Supervision), Mumin Shao (Funding acquisition), Zaiyu Yang (Supervision), and Ji Bao (Writing - review & editing).

Conflict of interest

None declared.

References

[1]

Clevers H. Modeling development and disease with organoids. Cell 2016;165:1586-97. https://doi.org/10.1016/j.cell.2016.05.082.

[2]

Yang H, Cheng J, Zhuang H et al. Pharmacogenomic profiling of intra-tumor heterogeneity using a large organoid biobank of liver cancer. Cancer Cell 2024;42:535-51. https://doi.org/10.1016/j.ccell.2024.03.004.

[3]

Abd El-Salam MA, Troulis MJ, Pan CX et al. Unlocking the potential of organoids in cancer treatment and translational research: An application of cytologic techniques. Cancer Cytopathology 2024;132:96-102. https://doi.org/10.1002/cncy.22769.

[4]

Ong HT, Karatas E, Poquillon T et al. Digitalized organoids: integrated pipeline for high-speed 3D analysis of organoid structures using multilevel segmentation and cellular topology. Nat Methods 2025;22:1343-54. https://doi.org/10.1038/s41592-025-02685-4.

[5]

Abraham TM, Levenson R. Current Landscape of Advanced Imaging Tools for Pathology Diagnostics. Mod Pathol 2024;37:100443. https://doi.org/10.1016/j.modpat.2024.100443.

[6]

Yang W, Knorr F, Latka I et al. Real-time molecular imaging of near-surface tissue using Raman spectroscopy. Light Sci Appl 2022;11:90. https://doi.org/10.1038/s41377-022-00773-0.

[7]

Chen S, Song D, Chen L et al. Artificial intelligence-based noninvasive tumor segmentation, grade stratification and prognosis prediction for clear-cell renal-cell carcinoma. Precis Clin Med 2023;6:pbad019. https://doi.org/10.1093/pcmedi/pbad019.

[8]

Diosdi A, Toth T, Harmati M et al. HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system. Nat Commun 2025;16:8897. https://doi.org/10.1038/s41467-025-63955-5.

[9]

Logun M, Wang X, Sun Y et al. Patient-derived glioblastoma organoids as real-time avatars for assessing responses to clinical CAR-T cell therapy. Cell Stem Cell 2025;32:181-90. https://doi.org/10.1016/j.stem.2024.11.010.

AI Summary AI Mindmap
PDF (434KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/