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Updated: Jul 25, 2025
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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Uncharacterized Proteins CxORFx: Subinteractome Analysis and Prognostic Significance in Cancers
Pavel Ershov1, Evgeniy Yablokov1, Yuri Mezentsev1
1Institute of Biomedical Chemistry, Moscow 119121, Russia.
International Journal of Molecular Sciences
|June 28, 2023
Summary
This study investigates poorly understood chromosome-specific open-reading frame genes (CxORFx) and their role in cancer. Researchers identified associations between CxORFx expression, protein interactions, and cancer pathways, offering insights into their prognostic value.
Area of Science:
- Genomics
- Proteomics
- Bioinformatics
Background:
- Approximately 10% of all proteins and their disease associations are poorly annotated.
- Uncharacterized chromosome-specific open-reading frame genes (CxORFx) represent a significant knowledge gap.
- Understanding these genes is crucial for advancing cancer research.
Purpose of the Study:
- To reveal associations between CxORFx gene expression and protein sub-interactomes with cancer-driven cellular processes.
- To explore the potential prognostic significance of novel transcriptomic signatures derived from CxORFx.
- To elucidate the functional roles of poorly annotated CxORFx in the context of cancer.
Main Methods:
- Systems biology and bioinformatics analysis of 219 differentially expressed CxORFx genes in cancers.
- Estimation of prognostic significance using transcriptomic signatures.
- Sub-interactome composition analysis using multiple web servers and protein-protein interaction (PPI) data.
- Bibliometric analysis of relevant publications.
Main Results:
- Identified 42 out of 219 CxORFx proteins potentially associated with cancer.
- Discovered 30 cancer-dependent binary protein-protein interactions.
- Retrieved key biomedical terms related to CxORFx genes through bibliometric analysis.
- Expanded understanding of CxORFx functions in cancer.
Conclusions:
- CxORFx genes and their protein products play roles in cancer-associated pathways.
- CxORFx expression patterns hold prognostic value in various cancers.
- Further functional studies are warranted to fully characterize these unannotated genes.
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