ArticleMolecular medicine reports2018
Screening for implicated genes in colorectal cancer using whole‑genome gene expression profiling.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Surface Proteome of Extracellular Vesicles and Correlation Analysis Reveal Breast Cancer Biomarkers.Cancers · 2024Article
- Integrative analysis of WDR12 as a potential prognostic and immunological biomarker in multiple human tumors.Frontiers in genetics · 2022Article
- WD40 repeat 43 mediates cell survival, proliferation, migration and invasion via vimentin in colorectal cancer.Cancer cell international · 2021Article
- Overcoming the Challenges of High Quality RNA Extraction from Core Needle Biopsy.Biomolecules · 2021Article
- Article
- Modern Approaches to Testing Drug Sensitivity of Patients' Tumors (Review).Sovremennye tekhnologii v meditsine · 2021Review
- Review
- Gene expression analyses identify a relationship between stanniocalcin 2 and the malignant behavior of colorectal cancer.OncoTargets and therapy · 2018Article
Corrections and comments
- Correction · 2025-12-04Error in Text · Investigation by Journal/Publisher · Investigation by Third Party · · See also: https://pubpeer.com/publications/1E683B248CBD68C2C94650E15D2EB8
- Erratum issued
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To identify biologically relevant genes associated with the pathogenesis of colorectal cancer (CRC), genome wide expression profiles of 17 pairs of CRC tumor and adjacent tissues, previously published in a DNA microarray study, were analyzed. Cytoscape, String tools and DAVID tools were used to investigate the biological pathways encoded by the genes identified as being either upregulated or downregulated in CRC, to determine protein‑protein interactions and to identify potential hub genes associated with CRC. As a result, a total of 3,264 genes were identified as being differentially expressed in CRC and adjacent tissues, including 1,594 downregulated and 1,670 upregulated genes. Furthermore, 306 genes were revealed to be clustered in a complex interaction network, and the top 20 hub genes in this network were determined by application of the Matthews Correlation Coefficient algorithm. In addition, the patterns of the expression levels of the 20 hub genes were investigated using reverse transcription‑quantitative polymerase chain reaction. Gene Ontology analysis revealed that four of the 20 hub genes encoded small subunit processome components (UTP3 small subunit processome component; UTP14 small subunit processome component; UTP 18 small subunit processome component; and UTP20 small subunit processome component) and a further four encoded WD repeat domains (WD repeat‑containing protein 3, WD repeat domain 12, WD repeat‑containing protein 43 and WD repeat‑containing protein 75). In conclusion, the present DNA microarray study identified genes involved in the pathogenesis of CRC. Furthermore, it was revealed that hub genes identified from among the total identified upregulated and downregulated genes in CRC encoding subunit processome components and WD repeat domains may represent novel target molecules for future treatments of CRC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.