ArticleBioMed research international2020
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
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
12 citing papers in PubMed, 19 citations in OpenAlex.
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- YTHDF2 regulates the adriamycin (ADM) resistance in NKTCL by modulating the m6A modification of SLC16A9.Translational oncology · 2025Article
- Analysis of extracellular vesicles of frequently used colorectal cancer cell lines.BMC cancer · 2025Article
- The role of NaPflugers Archiv : European journal of physiology · 2024Review
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- Bioinformatics Analysis of RNA-seq Data Reveals Genes Related to Cancer Stem Cells in Colorectal Cancerogenesis.International journal of molecular sciences · 2022Article
- Identification of hub genes and pathways in colitis-associated colon cancer by integrated bioinformatic analysis.BMC genomic data · 2022Article
- SLC4A4 promotes prostate cancer progression in vivo and in vitro via AKT-mediated signalling pathway.Cancer cell international · 2022Article
- Comprehensive Analysis of Potential Correlation Between Solute Carrier 1A (SLC1A) Family and Lung Adenocarcinoma.International journal of general medicine · 2022Article
- Identification and verification of HCAR3 and INSL5 as new potential therapeutic targets of colorectal cancer.World journal of surgical oncology · 2021Article
- Multi-Omics Profiling Identifies Risk Hypoxia-Related Signatures for Ovarian Cancer Prognosis.Frontiers in immunology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study is aimed at identifying unknown clinically relevant genes involved in colorectal cancer using bioinformatics analysis.
methodsOriginal microarray datasets GSE107499 (ulcerative colitis), GSE8671 (colorectal adenoma), and GSE32323 (colorectal cancer) were downloaded from the Gene Expression Omnibus. Common differentially expressed genes were filtered from the three datasets above. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed, followed by construction of a protein-protein interaction network to identify hub genes. Kaplan-Meier survival analysis and TIMER database analysis were used to screen the genes related to the prognosis and tumour-infiltrating immune cells of colorectal cancer. Receiver operating characteristic curves were used to assess whether the genes could be used as markers for the diagnosis of ulcerative colitis, colorectal adenoma, and colorectal cancer.
resultsA total of 237 differentially expressed genes common to the three datasets were identified, of which 60 were upregulated, 125 were downregulated, and 52 genes that were inconsistently up- and downregulated. Common differentially expressed genes were mainly enriched in the cellular component of extracellular exosome and integral component of membrane categories. Eight hub genes, i.e.,
conclusionThree novel genes,
Indexed as
Identifiers
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Registered trials
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.