» Articles » PMID: 29180611

Screening Drug Effects in Patient-derived Cancer Cells Links Organoid Responses to Genome Alterations

Abstract

Cancer drug screening in patient-derived cells holds great promise for personalized oncology and drug discovery but lacks standardization. Whether cells are cultured as conventional monolayer or advanced, matrix-dependent organoid cultures influences drug effects and thereby drug selection and clinical success. To precisely compare drug profiles in differently cultured primary cells, we developed , an automated microscopy-based assay to resolve drug-induced cell death and proliferation inhibition. Using , we screened cells from ovarian cancer patients in monolayer or organoid culture with clinically relevant drugs. Drug-induced growth arrest and efficacy of cytostatic drugs differed between the two culture systems. Interestingly, drug effects in organoids were more diverse and had lower therapeutic potential. Genomic analysis revealed novel links between drug sensitivity and DNA repair deficiency in organoids that were undetectable in monolayers. Thus, our results highlight the dependency of cytostatic drugs and pharmacogenomic associations on culture systems, and guide culture selection for drug tests.

Citing Articles

Prospects and challenges of ovarian cancer organoids in chemotherapy research (Review).

Zhang W, Ding Y, He H, Chen K, Zeng Q, Cao X Oncol Lett. 2025; 29(4):198.

PMID: 40052067 PMC: 11883337. DOI: 10.3892/ol.2025.14944.


Lung cancer organoid-based drug evaluation models and new drug development application trends.

Lee E, Lee S, Seong Y, Ku B, Cho H, Kim K Transl Lung Cancer Res. 2025; 13(12):3741-3763.

PMID: 39830742 PMC: 11736608. DOI: 10.21037/tlcr-24-603.


Organoids research progress in gynecological cancers: a bibliometric analysis.

He B, Ma H, Yu H, Li D, Zhang L, Wang J Front Oncol. 2024; 14:1484074.

PMID: 39529835 PMC: 11552305. DOI: 10.3389/fonc.2024.1484074.


Organoid modeling meets cancers of female reproductive tract.

Li J, Zhou M, Xie J, Chen J, Yang M, Ye C Cell Death Discov. 2024; 10(1):410.

PMID: 39333482 PMC: 11437045. DOI: 10.1038/s41420-024-02186-x.


Cell viability imaging in tumor spheroids DNA binding of a ruthenium(II) light-switch complex.

Ramu V, Wijaya L, Beztsinna N, Van de Griend C, van de Water B, Bonnet S Chem Commun (Camb). 2024; 60(49):6308-6311.

PMID: 38818705 PMC: 11181008. DOI: 10.1039/d4cc01425a.


References
1.
Abecasis G, Auton A, Brooks L, DePristo M, Durbin R, Handsaker R . An integrated map of genetic variation from 1,092 human genomes. Nature. 2012; 491(7422):56-65. PMC: 3498066. DOI: 10.1038/nature11632. View

2.
Hafner M, Niepel M, Chung M, Sorger P . Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs. Nat Methods. 2016; 13(6):521-7. PMC: 4887336. DOI: 10.1038/nmeth.3853. View

3.
Zhang J, Baran J, Cros A, Guberman J, Haider S, Hsu J . International Cancer Genome Consortium Data Portal--a one-stop shop for cancer genomics data. Database (Oxford). 2011; 2011:bar026. PMC: 3263593. DOI: 10.1093/database/bar026. View

4.
Bowtell D, Bohm S, Ahmed A, Aspuria P, Bast Jr R, Beral V . Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer. Nat Rev Cancer. 2015; 15(11):668-79. PMC: 4892184. DOI: 10.1038/nrc4019. View

5.
Gao S, Mobley A, Miller C, Boklan J, Chandra J . Potentiation of reactive oxygen species is a marker for synergistic cytotoxicity of MS-275 and 5-azacytidine in leukemic cells. Leuk Res. 2007; 32(5):771-80. PMC: 2320596. DOI: 10.1016/j.leukres.2007.09.007. View