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pmid:37383715

Exploring the pathogenesis of colorectal carcinoma complicated with hepatocellular carcinoma via microarray data analysis.

Tianqi Gao · Mengping Li · Dailin Wu · Ni Xiao · Dan Huang · Li Deng · Lunwei Yang · Chunhong Tian · Yang Cao · Jun Zhang · Jihong Gu · Yang Yu

Frontiers in pharmacology · 2023 doi:10.3389/fphar.2023.1201401

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Exploring the pathogenesis of colorectal carcinoma complicated with hepatocellular carcinoma via microarray data analysis.
doi
10.3389/fphar.2023.1201401
pmid
37383715
authors array · 12 items
[0]
Tianqi Gao
[1]
Mengping Li
[2]
Dailin Wu
[3]
Ni Xiao
[4]
Dan Huang
[5]
Li Deng
[6]
Lunwei Yang
[7]
Chunhong Tian
[8]
Yang Cao
[9]
Jun Zhang
[10]
Jihong Gu
[11]
Yang Yu
journal
Frontiers in pharmacology
year
2023
abstract
Background: Despite the increasing number of research endeavors dedicated to investigating the relationship between colorectal carcinoma (CRC) and hepatocellular carcinoma (HCC), the underlying pathogenic mechanism remains largely elusive. The aim of this study is to shed light on the molecular mechanism involved in the development of this comorbidity. Methods: The gene expression profiles of CRC (GSE90627) and HCC (GSE45267) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) of psoriasis and atherosclerosis, three kinds of analyses were performed, namely, functional annotation, protein-protein interaction (PPI) network and module construction, and hub gene identification, survival analysis and co-expression analysis. Results: A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses. The significance of chemokines and cytokines in the pathogenesis of these two ailments is underscored by functional analysis. Seven gene modules that were closely connected were identified. Moreover, the lipopolysaccharide-mediated signaling pathway is intricately linked to the development of both diseases. Finally, 10 important hub genes were identified using cytoHubba, including CDK1, KIF11, CDC20, CCNA2, TOP2A, CCNB1, NUSAP1, BUB1B, ASPM, and MAD2L1. Conclusion: Our study reveals the common pathogenesis of colorectal carcinoma and hepatocellular carcinoma. These common pathways and hub genes may provide new ideas for further mechanism research.
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We employed the GEOquery package to access the data and performed differential expression analysis using the Limma package.
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We employed the GEOquery package to access the data and performed differential expression analysis using the Limma package.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses.
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A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses.
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A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses.
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Homo sapiens
title
A distance-related model identified PDCD6IP as a local host protective factor in colorectal cancer
resolution_checked_at
2026-11-01T18:46:34Z
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identifier_resolution_only_no_download_no_licence_read
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[6]
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partial
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differential_expression
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limma_voom
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Differential expression analysis
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count_matrix_with_condition
evidence object · 3 fields
score
1
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verbatim
quote
We employed the GEOquery package to access the data and performed differential expression analysis using the Limma package.
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method-2
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survival_analysis
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time_to_event_with_censoring
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survival_analysis
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Survival analysis
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cox_ph
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time_to_event_with_censoring
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Survival analysis
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logrank_test
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time_to_event_with_censoring
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0.8
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network_analysis
specific
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Network / pathway analysis
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0.7
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medium
quote
protein-protein interaction
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method-6
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network_analysis
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Network / pathway analysis
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[0]
pathway_enrich
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edge_list
evidence object · 3 fields
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0.8
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high
quote
Pathway enrichment
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[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
[2]
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[3]
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[4]
pca
[5]
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[6]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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complete
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nothing:replicable_now
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normalise_counts
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
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R1
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true
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[0]
GSE90627
[1]
GSE45267
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GSE89076
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GSE50579
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[0]
GSE90627
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GSE45267
[2]
GSE89076
[3]
GSE50579
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
basis
The paper names GSE90627, GSE45267, GSE89076, GSE50579 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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data:geo:GSE45267
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-11-01T18:45:17Z
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[2]
review.human_critique
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paper
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source:pmid:37383715
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manuscript
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PMID 37383715 full text
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id
data:geo:GSE45267
type
dataset
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GEO GSE45267
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activity-reading-sci-2026-11-01
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classification
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PMID 37383715 full text
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GEO GSE45267
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agent:corpus-assay-engine
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accession_resolution
used array · 1 item
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agent:corpus-assay-engine
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[0]
omplicated with hepatocellular carcinoma via microarray data analysis.
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paper_text_order:52
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We employed the GEOquery package to access the data and performed differential expression analysis using the Limma package.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37383715", "kind": "science-record", "revision": 4, "content_hash": "sha256:96f209b0fc01f1fec6068a753a2f21c82e267786002374431b02f2345a38bace", "created_at": "2026-11-01T19:02:08Z", "updated_at": "2026-11-01T22:52:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the pathogenesis of colorectal carcinoma complicated with hepatocellular carcinoma via microarray data analysis.", "doi": "10.3389/fphar.2023.1201401", "pmid": "37383715", "authors": ["Tianqi Gao", "Mengping Li", "Dailin Wu", "Ni Xiao", "Dan Huang", "Li Deng", "Lunwei Yang", "Chunhong Tian", "Yang Cao", "Jun Zhang", "Jihong Gu", "Yang Yu"], "journal": "Frontiers in pharmacology", "year": 2023, "abstract": "Background: Despite the increasing number of research endeavors dedicated to investigating the relationship between colorectal carcinoma (CRC) and hepatocellular carcinoma (HCC), the underlying pathogenic mechanism remains largely elusive. The aim of this study is to shed light on the molecular mechanism involved in the development of this comorbidity. Methods: The gene expression profiles of CRC (GSE90627) and HCC (GSE45267) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) of psoriasis and atherosclerosis, three kinds of analyses were performed, namely, functional annotation, protein-protein interaction (PPI) network and module construction, and hub gene identification, survival analysis and co-expression analysis. Results: A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses. The significance of chemokines and cytokines in the pathogenesis of these two ailments is underscored by functional analysis. Seven gene modules that were closely connected were identified. Moreover, the lipopolysaccharide-mediated signaling pathway is intricately linked to the development of both diseases. Finally, 10 important hub genes were identified using cytoHubba, including CDK1, KIF11, CDC20, CCNA2, TOP2A, CCNB1, NUSAP1, BUB1B, ASPM, and MAD2L1. Conclusion: Our study reveals the common pathogenesis of colorectal carcinoma and hepatocellular carcinoma. 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The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37383715", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 150 common downregulated differentially expressed genes and 148 upregulated differentially expressed genes were selected for subsequent analyses.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37383715"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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