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pmid:35965624

Identification of Hub Genes and Key Pathways Associated with Follicular Lymphoma.

Qing Zhang · Meng Wang

Contrast media & molecular imaging · 2022 doi:10.1155/2022/5369104

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:35965624
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2026-11-01T18:15:04Z
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paper object · 10 fields
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title
Identification of Hub Genes and Key Pathways Associated with Follicular Lymphoma.
doi
10.1155/2022/5369104
pmid
35965624
authors array · 2 items
[0]
Qing Zhang
[1]
Meng Wang
journal
Contrast media & molecular imaging
year
2022
abstract
Follicular lymphoma (FL) is the second most prevalent form of non-Hodgkin lymphoma (NHL) and accounts for almost 20% of all NHL cases. Although FL patients' overall survival rates have steadily increased, there is still no accepted standard of care for individuals who experience recurrence or resistance to treatment. Hence, it is needed to evaluate the precise molecular cascades underlying FL to develop efficient diagnostic and treatment approaches. Herein, we aimed to evaluate variations in gene expression profiles, explore the underlying mechanisms, and find new FL targets. In the present study, Gene Expression Omnibus (GEO) database was employed to evaluate microarray datasets including GSE32018 and GSE55267. R software was employed to evaluate differentially expressed genes (DEGs) between FL and noncancer samples. The DEGs were evaluated using GO, KEGG pathway enrichment analysis, and PPI network to evaluate hub genes, which were then, examined using gene function enrichment analysis. According to the obtained results, a total of 190 upregulated and 162 downregulated DEGs were evaluated. Following the generation of PPI networks, 15 hub genes in highly connected upregulated DEGs were selected including FN1, MMP9, CCL2, CD8A, POSTN, CCR5, COL3A1, CXCL12, VCAM1, COL1A2, CCL5, SPARC, TIMP1, CXCL9, and IL18. The GO enrichment evaluation of the underlined hub genes indicated that the immunological response was the most considerably enriched term. Twelve significant cascades were found using the KEGG pathway analysis, most of which were linked to cellular structure and immunity. Our findings suggested that FN1, SPARC, POSTN, MMP9, and VCAM1 genes are potential biomarkers of FL, and cellular immunity contributes to the pathogenesis of FL. Moreover, the unique DEGs and cascades found in the present study may present new perspectives on the molecular basis of FL's underlying mechanisms as well as a new understanding of FL's future precise management.
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The variations in gene expression were evaluated between FL and noncancerous samples using the “Limma” package in R.
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The variations in gene expression were evaluated between FL and noncancerous samples using the “Limma” package in R.
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The data used to support the findings of this study are available from the corresponding author upon request.
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A total of 352 DEGs, comprising 190 upregulated and 162 downregulated genes, were retrieved from the GSE55267 and GSE32018, as depicted in Figure 1.
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sections[8] "3.1. Evaluation of DEGs" paragraph 2
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A total of 352 DEGs, comprising 190 upregulated and 162 downregulated genes, were retrieved from the GSE55267 and GSE32018, as depicted in Figure 1.
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A total of 352 DEGs, comprising 190 upregulated and 162 downregulated genes, were retrieved from the GSE55267 and GSE32018, as depicted in Figure 1.
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Gene-expression profile in a series of non-Hodgkin lymphoma (NHL) patients
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Gene expression Profiling in Follicular Lymphomas
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35965624", "kind": "science-record", "revision": 5, "content_hash": "sha256:d0f4bf512fdf14a5fbd71f3ddf28160cbdf0eb10a17605a4beca43bb8c1a85ac", "created_at": "2026-11-01T18:15:04Z", "updated_at": "2026-11-01T22:49:47Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Hub Genes and Key Pathways Associated with Follicular Lymphoma.", "doi": "10.1155/2022/5369104", "pmid": "35965624", "authors": ["Qing Zhang", "Meng Wang"], "journal": "Contrast media & molecular imaging", "year": 2022, "abstract": "Follicular lymphoma (FL) is the second most prevalent form of non-Hodgkin lymphoma (NHL) and accounts for almost 20% of all NHL cases. Although FL patients' overall survival rates have steadily increased, there is still no accepted standard of care for individuals who experience recurrence or resistance to treatment. Hence, it is needed to evaluate the precise molecular cascades underlying FL to develop efficient diagnostic and treatment approaches. Herein, we aimed to evaluate variations in gene expression profiles, explore the underlying mechanisms, and find new FL targets. In the present study, Gene Expression Omnibus (GEO) database was employed to evaluate microarray datasets including GSE32018 and GSE55267. R software was employed to evaluate differentially expressed genes (DEGs) between FL and noncancer samples. The DEGs were evaluated using GO, KEGG pathway enrichment analysis, and PPI network to evaluate hub genes, which were then, examined using gene function enrichment analysis. According to the obtained results, a total of 190 upregulated and 162 downregulated DEGs were evaluated. Following the generation of PPI networks, 15 hub genes in highly connected upregulated DEGs were selected including FN1, MMP9, CCL2, CD8A, POSTN, CCR5, COL3A1, CXCL12, VCAM1, COL1A2, CCL5, SPARC, TIMP1, CXCL9, and IL18. The GO enrichment evaluation of the underlined hub genes indicated that the immunological response was the most considerably enriched term. Twelve significant cascades were found using the KEGG pathway analysis, most of which were linked to cellular structure and immunity. Our findings suggested that FN1, SPARC, POSTN, MMP9, and VCAM1 genes are potential biomarkers of FL, and cellular immunity contributes to the pathogenesis of FL. Moreover, the unique DEGs and cascades found in the present study may present new perspectives on the molecular basis of FL's underlying mechanisms as well as a new understanding of FL's future precise management.", "claims": [{"id": "claim-method", "statement": "The variations in gene expression were evaluated between FL and noncancerous samples using the “Limma” package in R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35965624", "locator": "sections[4] \"2.2. 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Evaluation of DEGs\" paragraph 2", "quote": "A total of 352 DEGs, comprising 190 upregulated and 162 downregulated genes, were retrieved from the GSE55267 and GSE32018, as depicted in Figure 1."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 352 DEGs, comprising 190 upregulated and 162 downregulated genes, were retrieved from the GSE55267 and GSE32018, as depicted in Figure 1.", "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:35965624"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE32018"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE32018"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35965624", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/5369104", "sha256": 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