Project information
Molecular portraits of major morphological components of colon tumors
- Project Identification
- GA19-08646S
- Project Period
- 1/2019 - 6/2022
- Investor / Pogramme / Project type
-
Czech Science Foundation
- Standard Projects
- MU Faculty or unit
- Faculty of Science
- Other MU Faculty/Unit
- Central European Institute of Technology
- Cooperating Organization
-
Masaryk Memorial Cancer Institute Brno
- Responsible person Mgr. Eva Budinská, Ph.D.
Intra-tumor heterogeneity (ITH) is a major hurdle towards designing and selecting effective therapies and constitutes probably one of the main sources of treatment resistance. In this project we will investigate the ITH from a transcriptomics perspective by analyzing the spatial variability of whole-genome expression profiles within stage II-III primary colon tumors. Expression profiles extracted from morphologically well-defined regions within tumors will be used for building characteristic molecular portraits and for studying the stability of current prognostic gene signatures and consensus molecular subtype (CMS) classifiers. By anchoring the RNA extraction to clear tissue architecture landmarks, we improve the reproducibility of expression profiling and, thus, of expression-based prognostic signatures and classifiers. Additionally, these data will allow bioinformatic analyses for expression signal decomposition into individual components related to specific morphologies.
Sustainable Development Goals
Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.
Publications
Total number of publications: 3
2023
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IntOMICS: A Bayesian Framework for Reconstructing Regulatory Networks Using Multi-Omics Data
Journal of Computational Biology, year: 2023, volume: 30, edition: 5, DOI
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Molecular portraits of colorectal cancer morphological regions
eLife, year: 2023, volume: 12, edition: Nov, DOI
2022
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Using empirical biological knowledge to infer regulatory networks from multi-omics data
BMC Bioinformatics, year: 2022, volume: 23, edition: 1, DOI