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Updated: Jan 2, 2026

Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics
Published on: May 14, 2016
A screening-based approach identifies cell cycle regulators AURKA, CHK1 and PLK1 as targetable regulators of
Yvonne de Jong1, Fairuz Bennani1, Jolieke G van Oosterwijk1
1Department of Pathology, Leiden University Medical Centre, P.O. Box 9600, L1-Q, 2300 RC Leiden, the Netherlands.
Abstract:
Chondrosarcomas are malignant cartilage tumors that are relatively resistant towards conventional therapeutic approaches. Kinase inhibitors have been investigated and shown successful for several different cancer types. In this study we aimed at identifying kinase inhibitors that inhibit the survival of chondrosarcoma cells and thereby serve as new potential therapeutic strategies to treat chondrosarcoma patients. An siRNA screen targeting 779 different kinases was conducted in JJ012 chondrosarcoma cells in parallel with a compound screen consisting of 273 kinase inhibitors in JJ012, SW1353 and CH2879 chondrosarcoma cell lines. AURKA, CHK1 and PLK1 were identified as most promising targets and validated further in a more comprehensive panel of chondrosarcoma cell lines. Dose response curves were performed using tyrosine kinase inhibitors: MK-5108 (AURKA), LY2603618 (CHK1) and Volasertib (PLK1) using viability assays and cell cycle analysis. Apoptosis was measured at 24 h after treatment using a caspase 3/7 assay. Finally, chondrosarcoma patient samples (N = =34) were used to examine the correlation between AURKA, CHK1 and PLK1 RNA expression and documented patient survival. Dose dependent decreases in viability were observed in chondrosarcoma cell lines after treatment with MK-5108, LY2603618 and volasertib, with cell lines showing highest sensitivity to PLK1 inhibition. In addition increased sensitivity to conventional chemotherapy was observed after CHK1 inhibition in a subset of the cell lines. Interestingly, whereas AURKA and CHK1 were both expressed in chondrosarcoma patient samples, PLK1 expression was found to be low compared to normal cartilage. Analysis of patient samples revealed that high CHK1 RNA expression correlated with a worse overall survival. AURKA, CHK1 and PLK1 are identified as important survival genes in chondrosarcoma cell lines. Although further research is needed to validate these findings, inhibiting CHK1 seems to be the most promising potential therapeutic target for patients with chondrosarcoma.
Insights
This study identified Aurora Kinase A (AURKA), Checkpoint kinase 1 (CHK1), and Polo-like kinase 1 (PLK1) as key survival genes in chondrosarcoma. Inhibiting CHK1 showed the most promise as a therapeutic strategy for chondrosarcoma patients.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Chondrosarcomas are malignant cartilage tumors resistant to conventional therapies.
- Kinase inhibitors are effective in various cancers, suggesting potential for chondrosarcoma treatment.
Purpose of the Study:
- To identify kinase inhibitors targeting chondrosarcoma cell survival.
- To evaluate novel therapeutic strategies for chondrosarcoma patients.
Main Methods:
- Conducted siRNA and compound screens targeting 779 and 273 kinases, respectively, in chondrosarcoma cell lines.
- Validated promising targets (AURKA, CHK1, PLK1) using specific tyrosine kinase inhibitors (MK-5108, LY2603618, Volasertib).
- Assessed cell viability, cell cycle, apoptosis, and correlated gene expression with patient survival.
Main Results:
- MK-5108, LY2603618, and Volasertib reduced chondrosarcoma cell viability in a dose-dependent manner, with PLK1 inhibition showing highest sensitivity.
- CHK1 inhibition enhanced sensitivity to conventional chemotherapy in some cell lines.
- High CHK1 RNA expression in patient samples correlated with worse overall survival.
Conclusions:
- AURKA, CHK1, and PLK1 are crucial for chondrosarcoma cell survival.
- CHK1 inhibition presents the most promising therapeutic target for chondrosarcoma.
- Further research is needed to validate these findings for clinical application.
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