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Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
Published on: March 27, 2020
Transcription Factor Activities Enhance Markers of Drug Sensitivity in Cancer
Luz Garcia-Alonso1,2, Francesco Iorio1,2, Angela Matchan2,3
1European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom.
Abstract:
Transcriptional dysregulation induced by aberrant transcription factors (TF) is a key feature of cancer, but its global influence on drug sensitivity has not been examined. Here, we infer the transcriptional activity of 127 TFs through analysis of RNA-seq gene expression data newly generated for 448 cancer cell lines, combined with publicly available datasets to survey a total of 1,056 cancer cell lines and 9,250 primary tumors. Predicted TF activities are supported by their agreement with independent shRNA essentiality profiles and homozygous gene deletions, and recapitulate mutant-specific mechanisms of transcriptional dysregulation in cancer. By analyzing cell line responses to 265 compounds, we uncovered numerous TFs whose activity interacts with anticancer drugs. Importantly, combining existing pharmacogenomic markers with TF activities often improves the stratification of cell lines in response to drug treatment. Our results, which can be queried freely at dorothea.opentargets.io, offer a broad foundation for discovering opportunities to refine personalized cancer therapies.Significance: Systematic analysis of transcriptional dysregulation in cancer cell lines and patient tumor specimens offers a publicly searchable foundation to discover new opportunities to refine personalized cancer therapies. Cancer Res; 78(3); 769-80. ©2017 AACR.
Insights
Aberrant transcription factors (TF) drive cancer, but their impact on drug response was unknown. This study reveals how TF activity influences cancer drug sensitivity, improving personalized therapy strategies.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Transcriptional dysregulation by transcription factors (TF) is central to cancer development.
- The global impact of TF activity on anticancer drug sensitivity remains largely unexplored.
Purpose of the Study:
- To investigate the relationship between TF activity and drug sensitivity across a large cohort of cancer cell lines and tumors.
- To identify TFs that modulate responses to anticancer agents.
- To assess the utility of TF activity in refining personalized cancer treatment strategies.
Main Methods:
- Inferred TF activity from RNA-seq gene expression data in 1,056 cancer cell lines and 9,250 primary tumors.
- Validated TF activity predictions using shRNA essentiality and gene deletion data.
- Analyzed cell line responses to 265 compounds to identify drug-TF interactions.
Main Results:
- Identified numerous TFs whose activity significantly interacts with anticancer drug responses.
- Demonstrated that integrating TF activity with existing pharmacogenomic markers enhances cell line stratification for drug treatment.
- TF activity predictions were supported by independent biological data, recapitulating cancer-specific dysregulation mechanisms.
Conclusions:
- Systematic analysis of TF activity provides a foundation for understanding cancer drug sensitivity.
- This research offers a publicly accessible resource (dorothea.opentargets.io) to guide the development of personalized cancer therapies.
- TF activity is a valuable biomarker for predicting and potentially improving patient response to cancer treatments.
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