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Updated: May 30, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Identification of a TNIK-CDK9 Axis as a Targetable Strategy for Platinum-Resistant Ovarian Cancer
Noah Puleo1,2,3, Harini Ram1,2, Michele L Dziubinski1,2
1Department of Pathology, University of Michigan, Ann Arbor, Michigan.
Abstract:
Up to 90% of patients with high-grade serous ovarian cancer (HGSC) will develop resistance to platinum-based chemotherapy, posing substantial therapeutic challenges due to a lack of universally druggable targets. Leveraging BenevolentAI's artificial intelligence (AI)-driven approach to target discovery, we screened potential AI-predicted therapeutic targets mapped to unapproved tool compounds in patient-derived 3D models. This identified TNIK, which is modulated by NCB-0846, as a novel target for platinum-resistant HGSC. Targeting by this compound demonstrated efficacy across both in vitro and ex vivo organoid platinum-resistant models. Additionally, NCB-0846 treatment effectively decreased Wnt activity, a known driver of platinum resistance; however, we found that these effects were not solely mediated by TNIK inhibition. Comprehensive AI, in silico, and in vitro analyses revealed CDK9 as another key target driving NCB-0846's efficacy. Interestingly, TNIK and CDK9 co-expression positively correlated, and chromosomal gains in both served as prognostic markers for poor patient outcomes. Combined knockdown of TNIK and CDK9 markedly diminished downstream Wnt targets and reduced chemotherapy-resistant cell viability. Furthermore, we identified CDK9 as a novel mediator of canonical Wnt activity, providing mechanistic insights into the combinatorial effects of TNIK and CDK9 inhibition and offering a new understanding of NCB-0846 and CDK9 inhibitor function. Our findings identified the TNIK-CDK9 axis as druggable targets mediating platinum resistance and cell viability in HGSC. With AI at the forefront of drug discovery, this work highlights how to ensure that AI findings are biologically relevant by combining compound screens with physiologically relevant models, thus supporting the identification and validation of potential drug targets.
Insights
Artificial intelligence identified the TNIK-CDK9 axis as novel targets for overcoming platinum resistance in high-grade serous ovarian cancer (HGSC). Targeting this pathway with NCB-0846 shows promise for improving patient outcomes.
Area of Science:
- Oncology
- Drug Discovery
- Genomics
Background:
- High-grade serous ovarian cancer (HGSC) frequently develops platinum chemotherapy resistance, necessitating new therapeutic strategies.
- Lack of universally druggable targets complicates treatment for platinum-resistant HGSC.
- Artificial intelligence (AI) offers a novel approach for identifying therapeutic targets.
Purpose of the Study:
- To identify novel therapeutic targets for platinum-resistant HGSC using AI-driven drug discovery.
- To investigate the efficacy of targeting TNIK with NCB-0846 in platinum-resistant HGSC models.
- To elucidate the mechanisms underlying platinum resistance and the action of NCB-0846.
Main Methods:
- AI-driven screening of therapeutic targets and tool compounds in patient-derived 3D models.
- In vitro and ex vivo organoid studies to assess compound efficacy.
- AI, in silico, and in vitro analyses to identify key targets and pathways.
- Correlation analysis of gene expression and chromosomal gains with patient outcomes.
Main Results:
- TNIK, modulated by NCB-0846, was identified as a novel target for platinum-resistant HGSC.
- NCB-0846 demonstrated efficacy in platinum-resistant HGSC models and reduced Wnt activity.
- CDK9 was identified as a key target mediating NCB-0846's efficacy, independent of TNIK inhibition alone.
- Combined TNIK and CDK9 inhibition reduced Wnt targets and chemotherapy-resistant cell viability.
- TNIK and CDK9 co-expression and chromosomal gains correlated with poor patient prognosis.
Conclusions:
- The TNIK-CDK9 axis represents a druggable target for overcoming platinum resistance in HGSC.
- CDK9 is a novel mediator of canonical Wnt activity, contributing to platinum resistance.
- AI combined with physiologically relevant models is effective for target discovery and validation in oncology.
- This study provides mechanistic insights into NCB-0846 and CDK9 inhibitor function, paving the way for new therapeutic strategies.
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