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Cancer stem cell-related gene expression as a potential biomarker of response for first-in-class imipridone ONC201 in
Varun V Prabhu1, Amriti R Lulla2,3, Neel S Madhukar4
1Oncoceutics, Inc., Philadelphia, Pennsylvania, United States of America.
Abstract:
Cancer stem cells (CSCs) correlate with recurrence, metastasis and poor survival in clinical studies. Encouraging results from clinical trials of CSC inhibitors have further validated CSCs as therapeutic targets. ONC201 is a first-in-class small molecule imipridone in Phase I/II clinical trials for advanced cancer. We have previously shown that ONC201 targets self-renewing, chemotherapy-resistant colorectal CSCs via Akt/ERK inhibition and DR5/TRAIL induction. In this study, we demonstrate that the anti-CSC effects of ONC201 involve early changes in stem cell-related gene expression prior to tumor cell death induction. A targeted network analysis of gene expression profiles in colorectal cancer cells revealed that ONC201 downregulates stem cell pathways such as Wnt signaling and modulates genes (ID1, ID2, ID3 and ALDH7A1) known to regulate self-renewal in colorectal, prostate cancer and glioblastoma. ONC201-mediated changes in CSC-related gene expression were validated at the RNA and protein level for each tumor type. Accordingly, we observed inhibition of self-renewal and CSC markers in prostate cancer cell lines and patient-derived glioblastoma cells upon ONC201 treatment. Interestingly, ONC201-mediated CSC depletion does not occur in colorectal cancer cells with acquired resistance to ONC201. Finally, we observed that basal expression of CSC-related genes (ID1, CD44, HES7 and TCF3) significantly correlate with ONC201 efficacy in >1000 cancer cell lines and combining the expression of multiple genes leads to a stronger overall prediction. These proof-of-concept studies provide a rationale for testing CSC expression at the RNA and protein level as a predictive and pharmacodynamic biomarker of ONC201 response in ongoing clinical studies.
Insights
The drug ONC201 reduces cancer stem cell (CSC) self-renewal by altering gene expression in colorectal, prostate, and brain cancers. CSC gene expression may predict ONC201 treatment effectiveness.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Cancer stem cells (CSCs) are linked to cancer recurrence, metastasis, and poor survival.
- CSCs are validated therapeutic targets, with inhibitors showing promising clinical trial results.
- ONC201 is an investigational small molecule imipridone targeting advanced cancers.
Purpose of the Study:
- To investigate the anti-CSC effects of ONC201, focusing on early gene expression changes.
- To determine if ONC201's mechanism involves modulation of stem cell-related pathways and genes.
- To explore the potential of CSC-related gene expression as a predictive biomarker for ONC201 efficacy.
Main Methods:
- Network analysis of gene expression profiles in colorectal cancer cells treated with ONC201.
- Validation of gene expression changes at RNA and protein levels across colorectal, prostate, and glioblastoma models.
- Assessment of ONC201's effect on CSC self-renewal and markers in various cancer cell lines and patient-derived cells.
- Correlation analysis between basal CSC gene expression and ONC201 efficacy in over 1000 cancer cell lines.
Main Results:
- ONC201 downregulates stem cell pathways (e.g., Wnt signaling) and key self-renewal genes (ID1, ID2, ID3, ALDH7A1) in cancer cells.
- ONC201 inhibits self-renewal and CSC markers in prostate cancer and glioblastoma cells.
- ONC201 resistance in colorectal cancer cells abrogated CSC depletion.
- Basal expression of specific CSC genes (ID1, CD44, HES7, TCF3) strongly correlates with ONC201 efficacy.
Conclusions:
- ONC201 exerts anti-CSC effects through early modulation of stem cell-related gene expression, preceding cell death.
- CSC gene expression serves as a potential predictive and pharmacodynamic biomarker for ONC201 response.
- Targeting CSCs with ONC201 offers a promising therapeutic strategy, with potential for personalized treatment based on biomarker expression.
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