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pmid:35071476

A comprehensive characterization of the transcriptome in enzalutamide resistance prostate cancer.

Lili Wang · Yun Peng · Shiqiang Dong · Dingkun Hou · Nan Li · Hongzheng Li · Tianyang Li · Zheyu Zhang · Haitao Wang

Annals of translational medicine · 2021 doi:10.21037/atm-21-6191

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

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title
A comprehensive characterization of the transcriptome in enzalutamide resistance prostate cancer.
doi
10.21037/atm-21-6191
pmid
35071476
authors array · 9 items
[0]
Lili Wang
[1]
Yun Peng
[2]
Shiqiang Dong
[3]
Dingkun Hou
[4]
Nan Li
[5]
Hongzheng Li
[6]
Tianyang Li
[7]
Zheyu Zhang
[8]
Haitao Wang
journal
Annals of translational medicine
year
2021
abstract
BACKGROUND: Prostate cancer (PCa) contributes to more than 1.2 million newly diagnosed cases and more than 350,000 deaths each year, making it the second most common malignancy and the fifth leading cause of cancer-related deaths in men worldwide. Treatment of PCa is further complicated by drug resistance to enzalutamide. The present study comprehensively details the genomic characteristics of enzalutamide-resistant PCa. METHODS: The determination of enzalutamide-related genes in GSE163240 and GSE136129 was conducted by differential expression analysis, gene set enrichment analysis (GSEA) suggested that these genes were highly correlated with immune-related pathways. Subsequently, network analysis including module analysis and degree analysis and univariable cox analysis were conducted, which led to the identification of both hub genes [contactin 2 (CNTN2) and frizzled class receptor 2 (FZD2)]. RESULTS: GSEA suggested that these genes were highly correlated with immune-related pathways. Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB). GSEA and CIBERSORT indicated that both hub genes were highly correlated with immune-related functions in PCa. CONCLUSIONS: In conclusion, this study comprehensively described the transcriptome landscape of enzalutamide-resistant PCa and identified two hub genes, CNTN2 and FZD2, that play an important role in enzalutamide-mediated immune infiltration in PCa.
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Univariate Cox analysis was used to determine the prognostic implications with reference to OS, progression-free interval (PFI), or disease-free survival (DFS) (40).
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Univariate Cox analysis was used to determine the prognostic implications with reference to OS, progression-free interval (PFI), or disease-free survival (DFS) (40).
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The RNA-sequencing data of enzalutamide-resistant or sensitive PCa cells was derived from the GSE163240 (14) and GSE136129 (15) datasets in the GEO (16) database.
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Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB).
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Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB).
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Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB).
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Univariate Cox analysis was used to determine the prognostic implications with reference to OS, progression-free interval (PFI), or disease-free survival (DFS) (40).
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The RNA-sequencing data of enzalutamide-resistant or sensitive PCa cells was derived from the GSE163240 (14) and GSE136129 (15) datasets in the GEO (16) database.
basis
The paper names GSE163240, GSE136129, GSE147976, GSE150807, GSE80609, GSE56829, GSE111177 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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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35071476", "kind": "science-record", "revision": 5, "content_hash": "sha256:c56db2db989400b81fefdedbdb26c085f87fe4a1f04ca9daf87a2675540080ab", "created_at": "2026-11-01T17:36:48Z", "updated_at": "2026-11-01T22:05:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A comprehensive characterization of the transcriptome in enzalutamide resistance prostate cancer.", "doi": "10.21037/atm-21-6191", "pmid": "35071476", "authors": ["Lili Wang", "Yun Peng", "Shiqiang Dong", "Dingkun Hou", "Nan Li", "Hongzheng Li", "Tianyang Li", "Zheyu Zhang", "Haitao Wang"], "journal": "Annals of translational medicine", "year": 2021, "abstract": "BACKGROUND: Prostate cancer (PCa) contributes to more than 1.2 million newly diagnosed cases and more than 350,000 deaths each year, making it the second most common malignancy and the fifth leading cause of cancer-related deaths in men worldwide. Treatment of PCa is further complicated by drug resistance to enzalutamide. The present study comprehensively details the genomic characteristics of enzalutamide-resistant PCa.\nMETHODS: The determination of enzalutamide-related genes in GSE163240 and GSE136129 was conducted by differential expression analysis, gene set enrichment analysis (GSEA) suggested that these genes were highly correlated with immune-related pathways. Subsequently, network analysis including module analysis and degree analysis and univariable cox analysis were conducted, which led to the identification of both hub genes [contactin 2 (CNTN2) and frizzled class receptor 2 (FZD2)].\nRESULTS: GSEA suggested that these genes were highly correlated with immune-related pathways. Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB). GSEA and CIBERSORT indicated that both hub genes were highly correlated with immune-related functions in PCa.\nCONCLUSIONS: In conclusion, this study comprehensively described the transcriptome landscape of enzalutamide-resistant PCa and identified two hub genes, CNTN2 and FZD2, that play an important role in enzalutamide-mediated immune infiltration in PCa.", "claims": [{"id": "claim-method", "statement": "Univariate Cox analysis was used to determine the prognostic implications with reference to OS, progression-free interval (PFI), or disease-free survival (DFS) (40).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35071476", "locator": "sections[6] \"Cox analysis and determination of hub genes\" paragraph 2", "quote": "Univariate Cox analysis was used to determine the prognostic implications with reference to OS, progression-free interval (PFI), or disease-free survival (DFS) (40)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The RNA-sequencing data of enzalutamide-resistant or sensitive PCa cells was derived from the GSE163240 (14) and GSE136129 (15) datasets in the GEO (16) database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35071476", "locator": "sections[3] \"Data source and preprocessing\" paragraph 2", "quote": "The RNA-sequencing data of enzalutamide-resistant or sensitive PCa cells was derived from the GSE163240 (14) and GSE136129 (15) datasets in the GEO (16) database."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35071476", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Subsequently, network analysis, including module analysis and degree analysis, and univariable Cox analysis resulted in the identification of two hub genes, CNTN2 and FZD2, which were further validated using the Gene Expression Omnibus (GEO) and Molecular Signatures Database (MSigDB).", "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:35071476"], "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:GSE111177"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE111177"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35071476", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": 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