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Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types
Manfred Beleut1, Robert Soeldner1, Mark Egorov1
1Qlaym Healthcare AG, Hans-Adolf-Krebs Weg 1, 37077 Goettingen, Germany.
Researchers identified three common Cancer Transcriptomic Profiles (CTPs) across 13 cancer types. These genetic fingerprints highlight shared biological traits in human cancers, regardless of specific molecular alterations.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Tumors exhibit diverse molecular changes but share similar malignancy-associated biological traits.
- Previous studies using renal cell carcinoma (RCC) suggested three distinct gene expression groups related to cancer features.
Purpose of the Study:
- To mathematically verify the presence of these three cancer groups in RCC and other cancer types.
- To identify common transcriptomic profiles across various human malignancies.
Main Methods:
- Developed a gene-expression deviation profiling algorithm.
- Analyzed gene expression data from 8397 patients across 13 cancer types and normal tissues.
Main Results:
- Identified three common Cancer Transcriptomic Profiles (CTPs) consistently recurring in all investigated tumors.
- CTPs demonstrated robustness irrespective of the genes or their functions analyzed.
Conclusions:
- CTPs may serve as common genetic fingerprints for human cancers.
- These profiles potentially reflect the conserved biological traits underlying different cancer types.
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