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Published on: September 18, 2013
β-catenin/TCF activity regulates IGF-1R tyrosine kinase inhibitor sensitivity in colon cancer
Hani Lee1,2, Nayoung Kim2,3, Young Ji Yoo1,2
1Research Center for Cell Fate Control, College of Pharmacy, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Abstract:
The availability of large-scale drug screening data on cell line panels provides a unique opportunity to identify predictive biomarkers for targeted drug efficacy. Analysis of diverse drug data on ~990 cancer cell lines revealed enhanced sensitivity of insulin-like growth factor 1 receptor/ Insulin Receptor (IGF-1R/IR) tyrosine kinase inhibitors (TKIs) in colon cancer cells. Interestingly, β-catenin/TCF(T cell factor)-responsive promoter activity exhibited a significant positive association with IGF-1R/IR TKI response, while the mutational status of direct upstream genes, such as CTNNB1 and APC, was not significantly associated with the response. The β-catenin/TCF activity high cell lines express components of IGF-1R/IR signaling more than the low cell lines explaining their enhanced sensitivity against IGF-1R/IR TKI. Reinforcing β-catenin/TCF responsive promoter activity by introducing CTNNB1 gain-of-function mutations into IGF-1R/IR TKI-resistant cells increased the expression and activity of IGF-1R/IR signaling components and also sensitized the cells to IGF-1R/IR TKIs in vitro and in vivo. Analysis of TCGA data revealed that the stronger β-catenin/TCF responsive promoter activity was associated with higher IGF-1R and IGF2 transcription in human colon cancer specimens as well. Collectively, compared to the mutational status of upstream genes, β-catenin/TCF responsive promoter activity has potential to be a stronger predictive positive biomarker for IGF-1R/IR TKI responses in colon cancer cells. The present study highlights the potential of transcriptional activity as therapeutic biomarkers for targeted therapies, overcoming the limited ability of upstream genetic mutations to predict responses.
Insights
Transcriptional activity of β-catenin/TCF responsive promoters is a strong predictor of insulin-like growth factor 1 receptor/Insulin Receptor (IGF-1R/IR) tyrosine kinase inhibitor (TKI) response in colon cancer. This finding offers a more reliable biomarker than gene mutations for targeted therapy efficacy.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacogenomics
Background:
- Large-scale drug screening data offers opportunities to discover predictive biomarkers for targeted drug efficacy.
- Insulin-like growth factor 1 receptor/Insulin Receptor (IGF-1R/IR) tyrosine kinase inhibitors (TKIs) show promise in colon cancer treatment.
- Identifying reliable biomarkers is crucial for optimizing targeted therapy selection.
Purpose of the Study:
- To identify predictive biomarkers for IGF-1R/IR TKI efficacy in colon cancer.
- To investigate the association between β-catenin/TCF pathway activity and IGF-1R/IR TKI response.
- To compare the predictive power of transcriptional activity versus gene mutational status.
Main Methods:
- Analysis of large-scale drug screening data across ~990 cancer cell lines.
- Assessment of β-catenin/TCF-responsive promoter activity and its correlation with drug sensitivity.
- Experimental validation using CTNNB1 gain-of-function mutations in TKI-resistant cells.
- Analysis of The Cancer Genome Atlas (TCGA) data for human colon cancer specimens.
Main Results:
- Enhanced sensitivity to IGF-1R/IR TKIs was observed in colon cancer cells.
- β-catenin/TCF promoter activity positively associated with IGF-1R/IR TKI response, unlike upstream gene mutations (CTNNB1, APC).
- High β-catenin/TCF activity cell lines showed increased IGF-1R/IR signaling components, correlating with TKI sensitivity.
- Experimental and TCGA data confirmed the association between β-catenin/TCF activity, IGF-1R/IGF2 expression, and TKI response.
Conclusions:
- β-catenin/TCF responsive promoter activity is a stronger predictive biomarker for IGF-1R/IR TKI response in colon cancer than upstream gene mutational status.
- Transcriptional activity holds potential as a therapeutic biomarker for targeted therapies, overcoming limitations of genetic mutation analysis.
- This study emphasizes the clinical utility of transcriptional biomarkers in precision oncology.
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