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Updated: Nov 11, 2025

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
The functional GRHL3-filaggrin axis maintains a tumor differentiation potential and influences drug sensitivity
Yuchen Bai1, Zixuan Zhao2, Jarryd Boath1
1Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia.
Abstract:
Current therapies for treating heterogeneous cancers such as head and neck squamous cell carcinoma (HNSCC) are non-selective and are administered independent of response biomarkers. Therapy resistance subsequently emerges, resulting in increased cellular proliferation that is associated with loss of differentiation. Whether a cancer cell differentiation potential can dictate therapy responsiveness is still currently unknown. A multi-omic approach integrating whole-genome and whole-transcriptome sequencing with drug sensitivity was employed in a HNSCC mouse model, primary patients' data, and human cell lines to assess the potential of functional differentiation in predicting therapy response. Interestingly, a subset of HNSCC with effective GRHL3-dependent differentiation was the most sensitive to inhibitors of PI3K/mTOR, c-Myc, and STAT3 signaling. Furthermore, we identified the GRHL3-differentiation target gene Filaggrin (FLG) as a response biomarker and more importantly, stratified HNSCC subsets as treatment resistant based on their FLG mutational profile. The loss of FLG in sensitive HNSCC resulted in a dramatic resistance to targeted therapies while the GRHL3-FLG signature predicted a favorable patient prognosis. This study provides evidence for a functional GRHL3-FLG tumor-specific differentiation axis that regulates targeted therapy response in HNSCC and establishes a rationale for clinical investigation of differentiation-paired targeted therapy in heterogeneous cancers.
Insights
Head and neck squamous cell carcinoma (HNSCC) differentiation potential predicts targeted therapy response. The GRHL3-Filaggrin (FLG) axis identifies sensitive HNSCC subsets, guiding personalized cancer treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Head and neck squamous cell carcinoma (HNSCC) therapies lack selectivity and biomarkers, leading to resistance and dedifferentiation.
- The role of cancer cell differentiation potential in predicting therapy responsiveness remains unclear.
Purpose of the Study:
- To investigate if functional cancer cell differentiation can predict targeted therapy response in HNSCC.
- To identify biomarkers for stratifying HNSCC subsets based on therapy sensitivity.
Main Methods:
- A multi-omic approach integrating whole-genome sequencing, whole-transcriptome sequencing, and drug sensitivity assays.
- Utilized HNSCC mouse models, primary patient data, and human cell lines.
- Assessed the GRHL3-Filaggrin (FLG) axis as a potential differentiator and biomarker.
Main Results:
- A subset of HNSCC with GRHL3-dependent differentiation showed sensitivity to PI3K/mTOR, c-Myc, and STAT3 inhibitors.
- Filaggrin (FLG) was identified as a GRHL3-differentiation target gene and a response biomarker.
- Loss of FLG conferred resistance to targeted therapies; the GRHL3-FLG signature predicted favorable prognosis.
Conclusions:
- A functional GRHL3-FLG tumor-specific differentiation axis regulates targeted therapy response in HNSCC.
- The GRHL3-FLG signature can stratify HNSCC patients for differential therapeutic strategies.
- This study provides a rationale for clinical investigation of differentiation-paired targeted therapy in heterogeneous cancers.
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