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pmid:29744300

Gene expression profiles and pathway enrichment analysis of human osteosarcoma cells exposed to sorafenib.

Zhehao Dai · Haoyu Tang · Yue Pan · Junquan Chen · Yongping Li · Jun Zhu

FEBS open bio · 2018 doi:10.1002/2211-5463.12428

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Experiment

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:29744300
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science-record
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2026-11-01T15:40:33Z
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2026-11-01T22:43:22Z
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paper object · 10 fields
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title
Gene expression profiles and pathway enrichment analysis of human osteosarcoma cells exposed to sorafenib.
doi
10.1002/2211-5463.12428
pmid
29744300
authors array · 6 items
[0]
Zhehao Dai
[1]
Haoyu Tang
[2]
Yue Pan
[3]
Junquan Chen
[4]
Yongping Li
[5]
Jun Zhu
journal
FEBS open bio
year
2018
abstract
Sorafenib is an inhibitor of a variety of tyrosine kinase receptors used to treat various cancers including hepatocellular, renal cell and thyroid carcinoma. It has been shown to change various targets associated with osteosarcoma, but the detailed mechanism remains unclear. In order to identify key genes, enriched pathways and important modules during the exposure of human osteosarcoma cells to sorafenib, data for gene expression profiles (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155) were downloaded from the GEO database. In total, 61 differentially expressed genes (DEGs) were identified by the R bioconductor packages. Functional and enrichment analyses of DEGs were performed using the DAVID database. These revealed that DEGs were enriched in biological processes, molecular function and KEGG pathway of inflammatory immune response and angiogenesis. A protein-protein interaction network was constructed by string and visualized in cytoscape, and eight genes were selected as hubs: IL8,CXCL2,PTGS2,FOS,CXCL1, C3,EHMT2 and PGF. Subsequently, only one cluster was identified by mcode, which consisted of six nodes (CXCL1,CXCL2,PTGS2,FOS, C3 and PGF) and nine edges. PGF was the seed gene in this cluster. In conclusion, the results of this data mining and integration should help in revealing new mechanisms and targets of sorafenib in inhibiting osteosarcoma.
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The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2.
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sections[7] "Identification of differentially expressed genes from public microarray data" paragraph 2
quote
The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2.
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The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo). These profiles were deposited by Birgit Gallé in 2013 and comprised three untreated replicates of human osteosarcoma cells (ATCC CRL‐1543™), and three replicates of the same cells treated with 4 μm sorafenib.
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sections[7] "Identification of differentially expressed genes from public microarray data" paragraph 2
quote
The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo). These profiles were deposited by Birgit Gallé in 2013 and comprised three untreated replicates of human osteosarcoma cells (ATCC CRL‐1543™), and three replicates of the same cells treated with 4 μm sorafenib.
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The study used limma through R Bioconductor after preprocesscore normalization to screen differentially expressed genes from the GEO dataset GSE53155. The headline result was the identification of 61 DEGs in sorafenib-treated human osteosarcoma cells.
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sections[7] "Identification of differentially expressed genes from public microarray data" paragraph 2
quote
The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo).
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sections[7] "Identification of differentially expressed genes from public microarray data" paragraph 2
quote
The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2.
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sections[11] "Identification of DEGs" paragraph 2
quote
Compared with untreated human osteosarcoma cells, a total of 61 DEGs were identified in human osteosarcoma cells treated with sorafenib, consisting of 18 up‐regulated and 43 down‐regulated genes.
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The study used limma through R Bioconductor after preprocesscore normalization to screen differentially expressed genes from the GEO dataset GSE53155. The headline result was the identification of 61 DEGs in sorafenib-treated human osteosarcoma cells.
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The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo). These profiles were deposited by Birgit Gallé in 2013 and comprised three untreated replicates of human osteosarcoma cells (ATCC CRL‐1543™), and three replicates of the same cells treated with 4 μm sorafenib.
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Human osteosarcoma cells respond to sorafenib chemotherapy by downregulation of the tumor progression factors S100A4, CXCR4 and the oncogene FOS
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Identification of DEGs
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Table 1
caption
The most significant up‐regulated and down‐regulated genes
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Log2(fold change)
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P
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0.00016947
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0.00042292
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0.00040288
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The top 10 enriched GO terms of the down‐regulated genes
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pmcid
PMC5929930
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GO functional annotation and pathway enrichment
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Table 2
caption
The top 10 enriched GO terms of the down‐regulated genes
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[0]
Category
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GO ID and term
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P
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Cellular component ontology
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0005576: extracellular region
[2]
14
[3]
1.73 × 10−5
[4]
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[2]
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[3]
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[0]
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[2]
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[3]
HIST1H4K, PTGS2, SMARCE1, PDGFRA, STRA6
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[2]
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[3]
SLC16A3, FOS, GCNT2, HIST1H4K, PGF, GLIPR1, ARFRP1, PDGFRA, METTL7A, IL3RA
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[2]
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Biological process ontology
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[2]
7
[3]
2.21 × 10−4
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CXCL1, FOS, PTGS2, C3, CXCL2, CXCL8, SCG2
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[0]
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CXCL1, CXCL2, CXCL8
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CXCL1, CXCL2
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FOS, NDN, SMARCE1, RFX1
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The top 10 enriched KEGG pathways of the down‐regulated genes
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GO functional annotation and pathway enrichment
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Table 3
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The top 10 enriched KEGG pathways of the down‐regulated genes
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Salmonella infection
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6
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0.006830986
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The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2.
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The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo). These profiles were deposited by Birgit Gallé in 2013 and comprised three untreated replicates of human osteosarcoma cells (ATCC CRL‐1543™), and three replicates of the same cells treated with 4 μm sorafenib.
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The paper names GSE53155 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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The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2.
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It has been shown to change various targets associated with osteosarcoma, but the detailed mechanism remains unclear. In order to identify key genes, enriched pathways and important modules during the exposure of human osteosarcoma cells to sorafenib, data for gene expression profiles (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155) were downloaded from the GEO database. In total, 61 differentially expressed genes (DEGs) were identified by the R bioconductor packages. Functional and enrichment analyses of DEGs were performed using the DAVID database. These revealed that DEGs were enriched in biological processes, molecular function and KEGG pathway of inflammatory immune response and angiogenesis. A protein-protein interaction network was constructed by string and visualized in cytoscape, and eight genes were selected as hubs: IL8,CXCL2,PTGS2,FOS,CXCL1, C3,EHMT2 and PGF. Subsequently, only one cluster was identified by mcode, which consisted of six nodes (CXCL1,CXCL2,PTGS2,FOS, C3 and PGF) and nine edges. PGF was the seed gene in this cluster. 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE53155"], "resolved_accessions": ["GSE53155"], "statements": ["The public gene expression profiles of http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155 were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo). These profiles were deposited by Birgit Gallé in 2013 and comprised three untreated replicates of human osteosarcoma cells (ATCC CRL‐1543™), and three replicates of the same cells treated with 4 μm sorafenib."], "basis": "The paper names GSE53155 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:29744300", "data:geo:GSE53155", "asset:table:pmid:29744300:1", "asset:table:pmid:29744300:2", "asset:table:pmid:29744300:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE53155"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:34:19Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 8, "usage": {"prompt_tokens": 37151, "completion_tokens": 2680, "cached_tokens": 1840}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:29744300", "type": "paper", "label": "pmid:29744300"}, {"id": "source:pmid:29744300", "type": "manuscript", "label": "PMID 29744300 full text"}, {"id": "data:geo:GSE53155", "type": "dataset", "label": "GEO GSE53155"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:29744300", "type": "paper", "label": "pmid:29744300"}, {"id": "source:pmid:29744300", "type": "manuscript", "label": "PMID 29744300 full text"}, {"id": "data:geo:GSE53155", "type": "dataset", "label": "GEO GSE53155"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-29744300", "type": "extraction", "used": ["source:pmid:29744300"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE53155", "type": "accession_resolution", "used": ["data:geo:GSE53155"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:29744300", "parent_hash": "sha256:8c3b26f092f9fc458cb39bc2b160093b83e986b5ba2b5b88db108253a919e32f", "fork_of": null, "generation": 8}, "gaps": ["asset:data:geo:GSE53155 licence not read", "asset:data:geo:GSE53155 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The dataset was analyzed with R bioconductor packages, and raw datasets were normalized based on the preprocesscore package and the DEGs were screened out via the limma package through the cut‐off criteria of P‐value < 0.01 and |log2(fold change) |>2."], "order_basis": "analysis_only", "id": "assay:1"}]}