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Published on: December 30, 2025
Kinome and mRNA expression profiling of high-grade osteosarcoma cell lines implies Akt signaling as possible target
Marieke L Kuijjer, Brendy E W M van den Akker, Riet Hilhorst
1Department of Pathology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands. a.m.cleton-jansen@lumc.nl.
Background:
High-grade osteosarcoma is a primary malignant bone tumor mostly occurring in adolescents and young adults, with a second peak at middle age. Overall survival is approximately 60%, and has not significantly increased since the introduction of neoadjuvant chemotherapy in the 1970s. The genomic profile of high-grade osteosarcoma is complex and heterogeneous. Integration of different types of genome-wide data may be advantageous in extracting relevant information from the large number of aberrations detected in this tumor.
Methods:
We analyzed genome-wide gene expression data of osteosarcoma cell lines and integrated these data with a kinome screen. Data were analyzed in statistical language R, using LIMMA for detection of differential expression/phosphorylation. We subsequently used Ingenuity Pathways Analysis to determine deregulated pathways in both data types.
Results:
Gene set enrichment indicated that pathways important in genomic stability are highly deregulated in these tumors, with many genes showing upregulation, which could be used as a prognostic marker, and with kinases phosphorylating peptides in these pathways. Akt and AMPK signaling were identified as active and inactive, respectively. As these pathways have an opposite role on mTORC1 signaling, we set out to inhibit Akt kinases with the allosteric Akt inhibitor MK-2206. This resulted in inhibition of proliferation of osteosarcoma cell lines U-2 OS and HOS, but not of 143B, which harbors a KRAS oncogenic transformation.
Conclusions:
We identified both overexpression and hyperphosphorylation in pathways playing a role in genomic stability. Kinome profiling identified active Akt signaling, which could inhibit proliferation in 2/3 osteosarcoma cell lines. Inhibition of PI3K/Akt/mTORC1 signaling may be effective in osteosarcoma, but further studies are required to determine whether this pathway is active in a substantial subgroup of this heterogeneous tumor.
Insights
High-grade osteosarcoma pathways involved in genomic stability are deregulated. Akt signaling inhibition shows promise for treating some osteosarcoma cases, warranting further investigation.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- High-grade osteosarcoma (HGO) is a primary bone cancer with limited survival improvement since the 1970s.
- The complex and heterogeneous genomic profile of HGO necessitates integrated data analysis for better understanding.
- Understanding genomic aberrations is crucial for developing effective HGO treatments.
Purpose of the Study:
- To investigate deregulated pathways in high-grade osteosarcoma using genome-wide data.
- To identify potential therapeutic targets by analyzing gene expression and kinome screening data.
- To evaluate the efficacy of inhibiting specific signaling pathways in osteosarcoma cell lines.
Main Methods:
- Genome-wide gene expression data and kinome screening data were analyzed.
- Statistical analysis using R and LIMMA identified differentially expressed and phosphorylated genes.
- Ingenuity Pathways Analysis (IPA) was employed to determine deregulated pathways.
Main Results:
- Pathways crucial for genomic stability were found to be highly deregulated in HGO.
- Akt signaling was identified as active, while AMPK signaling was inactive, impacting mTORC1.
- Inhibition of Akt kinases with MK-2206 reduced proliferation in 2/3 osteosarcoma cell lines tested.
Conclusions:
- Overexpression and hyperphosphorylation in genomic stability pathways were observed in HGO.
- Active Akt signaling presents a potential therapeutic target for a subset of osteosarcoma patients.
- Targeting the PI3K/Akt/mTORC1 pathway may be effective, but requires further validation in diverse osteosarcoma subgroups.
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