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pmid:36820595

Identification of potential biomarkers for colorectal cancer by clinical database analysis and Kaplan-Meier curves analysis.

Chongyang Li · Ying Gao · Chunlei Lu · Mingxiao Guo

Medicine · 2023 doi:10.1097/MD.0000000000032877

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36820595
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science-record
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sha256:ca3da627cb5c793a6deacc1f01aa5f952e4c4b8f634608f279d124852b500287
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created_at
2026-11-01T19:01:25Z
updated_at
2026-11-01T22:08:53Z
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paper object · 10 fields
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title
Identification of potential biomarkers for colorectal cancer by clinical database analysis and Kaplan-Meier curves analysis.
doi
10.1097/MD.0000000000032877
pmid
36820595
authors array · 4 items
[0]
Chongyang Li
[1]
Ying Gao
[2]
Chunlei Lu
[3]
Mingxiao Guo
journal
Medicine
year
2023
abstract
This study aimed to explore critical genes as potential biomarkers for the diagnosis and prognosis of colorectal cancer (CRC) for clinical utility. To identify and screen candidate genes involved in CRC carcinogenesis and disease progression, we downloaded microarray datasets GSE89076, GSE73360, and GSE32323 from the GEO database identified differentially expressed genes (DEGs), and performed a functional enrichment analysis. A protein-protein interaction network was constructed, and correlated module analysis was performed using STRING and Cytoscape. The Kaplan-Meier survival curve shows the survival of the hub genes. The expression of cyclin-dependent kinase (CDK1), cyclin B1 (CCNB1), and PCNA in tissues and changes in tumor grade were analyzed. A total of 329 DEGs were identified, including 264 upregulated and 65 downregulated genes. The functions and pathways of DEGs include the mitotic cell cycle, poly(A) RNA binding replication, ATP binding, DNA replication, ribosome biogenesis in eukaryotes, and RNA transport. Forty-seven Hub genes were identified, and biological process analysis showed that these genes were mainly enriched in cell cycle and DNA replication. Patients with mutations in CDK1, PCNA, and CCNB1 had poorer survival rates. CDK1, PCNA, and CCNB1 were significantly overexpressed in the tumor tissues. The expression of CDK1 and CCNB1 gradually decreased with increasing tumor grade. CDK1, CCNB1, and PCNA can be used as potential markers for the diagnosis and prognosis of CRC. These genes are overexpressed in colon cancer tissues and are associated with low survival rates in CRC patients.
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The Kaplan–Meier survival curve shows the survival of the hub genes.
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The Kaplan–Meier survival curve shows the survival of the hub genes.
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All data generated or analyzed during this study are included in this published article [and its supplementary information files].
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All data generated or analyzed during this study are included in this published article [and its supplementary information files].
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A total of 329 DEGs were identified, including 264 upregulated and 65 downregulated genes.
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sections[0] "Abstract" paragraph 1
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A total of 329 DEGs were identified, including 264 upregulated and 65 downregulated genes.
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A total of 329 DEGs were identified, including 264 upregulated and 65 downregulated genes.
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Screening for Epigenetically Masked Genes in Colorectal Cancer using 5-aza-2’-deoxycytidine treatment, Microarray and Gene Expression Profile
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Human Transcriptome Array 2.0 (HTA) in matched colorectal cancer and normal colonic mucosa and in widely used cancer cell lines
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2026-11-01T15:39:55Z
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DNA microarray analysis of human colorectal cancer specimens
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sha256:cc67e7ef5a7ac6671a30e1a832335e6cf183bfd9d462d44b7ad78b871adc98c0
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asset:data:geo:GSE32323 licence not read
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[2]
asset:data:geo:GSE73360 licence not read
[3]
asset:data:geo:GSE73360 not downloaded
[4]
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[5]
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method.reader_named_unmapped
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confidence
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evidence array · 3 items
[0]
nesis and disease progression, we downloaded microarray datasets GSE89076, GSE73360, and GSE32323 fr
[1]
s DAVID Functional Annotation Bioinformatics Microarray Analysis (version 6.8) (http://david.ncifcrf
[2]
, molecular function, and BP. Bioinformatics Microarray Analysis was performed using the DAVID onlin
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paper_text_order:337
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assay:1
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evidence array · 1 item
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assay:2
Complete file
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To identify and screen candidate genes involved in CRC carcinogenesis and disease progression, we downloaded microarray datasets GSE89076, GSE73360, and GSE32323 from the GEO database identified differentially expressed genes (DEGs), and performed a functional enrichment analysis. A protein-protein interaction network was constructed, and correlated module analysis was performed using STRING and Cytoscape. The Kaplan-Meier survival curve shows the survival of the hub genes. The expression of cyclin-dependent kinase (CDK1), cyclin B1 (CCNB1), and PCNA in tissues and changes in tumor grade were analyzed. A total of 329 DEGs were identified, including 264 upregulated and 65 downregulated genes. The functions and pathways of DEGs include the mitotic cell cycle, poly(A) RNA binding replication, ATP binding, DNA replication, ribosome biogenesis in eukaryotes, and RNA transport. Forty-seven Hub genes were identified, and biological process analysis showed that these genes were mainly enriched in cell cycle and DNA replication. Patients with mutations in CDK1, PCNA, and CCNB1 had poorer survival rates. CDK1, PCNA, and CCNB1 were significantly overexpressed in the tumor tissues. The expression of CDK1 and CCNB1 gradually decreased with increasing tumor grade. CDK1, CCNB1, and PCNA can be used as potential markers for the diagnosis and prognosis of CRC. 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