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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
A ribosomal gene panel predicting a novel synthetic lethality in non-BRCAness tumors
Chao Zhang1,2, Qiang Guo3, Lifeng Chen4,5
1Beijing Institute of Basic Medical Sciences, 100850, Beijing, China.
Abstract:
Poly (ADP-ribose) polymerase (PARP) inhibitors are one of the most exciting classes of targeted therapy agents for cancers with homologous recombination (HR) deficiency. However, many patients without apparent HR defects also respond well to PARP inhibitors/cisplatin. The biomarker responsible for this mechanism remains unclear. Here, we identified a set of ribosomal genes that predict response to PARP inhibitors/cisplatin in HR-proficient patients. PARP inhibitor/cisplatin selectively eliminates cells with high expression of the eight genes in the identified panel via DNA damage (ATM) signaling-induced pro-apoptotic ribosomal stress, which along with ATM signaling-induced pro-survival HR repair constitutes a new model to balance the cell fate in response to DNA damage. Therefore, the combined examination of the gene panel along with HR status would allow for more precise predictions of clinical response to PARP inhibitor/cisplatin. The gene panel as an independent biomarker was validated by multiple published clinical datasets, as well as by an ovarian cancer organoids library we established. More importantly, its predictive value was further verified in a cohort of PARP inhibitor-treated ovarian cancer patients with both RNA-seq and WGS data. Furthermore, we identified several marketed drugs capable of upregulating the expression of the genes in the panel without causing HR deficiency in PARP inhibitor/cisplatin-resistant cell lines. These drugs enhance PARP inhibitor/cisplatin sensitivity in both intrinsically resistant organoids and cell lines with acquired resistance. Together, our study identifies a marker gene panel for HR-proficient patients and reveals a broader application of PARP inhibitor/cisplatin in cancer therapy.
Insights
A new gene panel predicts response to PARP inhibitors and cisplatin in cancers with normal DNA repair (HR proficiency). This discovery offers a broader application for these cancer therapies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Poly (ADP-ribose) polymerase (PARP) inhibitors are effective targeted therapies for cancers with homologous recombination (HR) deficiency.
- Response to PARP inhibitors/cisplatin in HR-proficient patients is observed but lacks clear biomarkers.
Purpose of the Study:
- To identify biomarkers predicting response to PARP inhibitors/cisplatin in HR-proficient cancer patients.
- To elucidate the mechanism of PARP inhibitor/cisplatin action in HR-proficient cells.
- To explore strategies for overcoming resistance to PARP inhibitors/cisplatin.
Main Methods:
- Identification of a gene panel predicting response to PARP inhibitors/cisplatin.
- Investigation of DNA damage signaling (ATM) and ribosomal stress.
- Validation using clinical datasets, ovarian cancer organoids, and patient data (RNA-seq, WGS).
- Screening for drugs that enhance sensitivity to PARP inhibitors/cisplatin.
Main Results:
- A panel of eight ribosomal genes was identified as a predictor of response in HR-proficient patients.
- PARP inhibitor/cisplatin induces pro-apoptotic ribosomal stress via ATM signaling in cells with high gene panel expression.
- The gene panel was validated across multiple datasets and patient cohorts.
- Marketed drugs were found to enhance PARP inhibitor/cisplatin sensitivity in resistant cell lines and organoids.
Conclusions:
- A novel gene panel serves as a predictive biomarker for PARP inhibitor/cisplatin therapy in HR-proficient cancers.
- A new model of cell fate balance involving ATM signaling, ribosomal stress, and HR repair is proposed.
- These findings expand the potential clinical application of PARP inhibitors/cisplatin and suggest strategies to overcome resistance.
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