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pmid:38753689

Explore the shared molecular mechanism between dermatomyositis and nasopharyngeal cancer by bioinformatic analysis.

Xiuqin Zhong · Jingjing Shang · Rongwei Zhang · Xiuling Zhang · Le Yu · Haitao Niu · Xinwang Duan

PloS one · 2024 doi:10.1371/journal.pone.0296034

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:38753689
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science-record
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2026-11-01T19:20:42Z
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title
Explore the shared molecular mechanism between dermatomyositis and nasopharyngeal cancer by bioinformatic analysis.
doi
10.1371/journal.pone.0296034
pmid
38753689
authors array · 7 items
[0]
Xiuqin Zhong
[1]
Jingjing Shang
[2]
Rongwei Zhang
[3]
Xiuling Zhang
[4]
Le Yu
[5]
Haitao Niu
[6]
Xinwang Duan
journal
PloS one
year
2024
abstract
BACKGROUND: Dermatomyositis (DM) is prone to nasopharyngeal carcinoma (NPC), but the mechanism is unclear. This study aimed to explore the potential pathogenesis of DM and NPC. METHODS: The datasets GSE46239, GSE142807, GSE12452, and GSE53819 were downloaded from the GEO dataset. The disease co-expression module was obtained by R-package WGCNA. We built PPI networks for the key modules. ClueGO was used to analyze functional enrichment for the key modules. DEG analysis was performed with the R-package "limma". R-package "pROC" was applied to assess the diagnostic performance of hub genes. MiRNA-mRNA networks were constructed using MiRTarBase and miRWalk databases. RESULTS: The key modules that positively correlated with NPC and DM were found. Its intersecting genes were enriched in the negative regulation of viral gene replication pathway. Similarly, overlapping down-regulated DEGs in DM and NPC were also enriched in negatively regulated viral gene replication. Finally, we identified 10 hub genes that primarily regulate viral biological processes and type I interferon responses. Four key genes (GBP1, IFIH1, IFIT3, BST2) showed strong diagnostic performance, with AUC>0.8. In both DM and NPC, the expression of key genes was correlated with macrophage infiltration level. Based on hub genes' miRNA-mRNA network, hsa-miR-146a plays a vital role in DM-associated NPC. CONCLUSIONS: Our research discovered pivot genes between DM and NPC. Viral gene replication and response to type I interferon may be the crucial bridge between DM and NPC. By regulating hub genes, MiR-146a will provide new strategies for diagnosis and treatment in DM complicated by NPC patients. For individuals with persistent viral replication in DM, screening for nasopharyngeal cancer is necessary.
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Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively.
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Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively.
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Finally, four datasets (GSE46239, GSE12452, GSE142807, GSE53819) were downloaded (S2–S5 Tables). The datasets GSE46239 and GSE53819 were selected as training sets.
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Finally, four datasets (GSE46239, GSE12452, GSE142807, GSE53819) were downloaded (S2–S5 Tables). The datasets GSE46239 and GSE53819 were selected as training sets.
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Viral gene replication and type I interferon response may be the crucial bridge between dermatomyositis and nasopharyngeal carcinoma.
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Our research discovered pivot genes between DM and NPC. Viral gene replication and response to type I interferon may be the crucial bridge between DM and NPC.
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Viral gene replication and type I interferon response may be the crucial bridge between dermatomyositis and nasopharyngeal carcinoma.
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Transcriptomic profiling of dermatomyositis lesions.
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Gene Expression Analysis of Dermatomyositis Skin
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Genome-wide expressing profiling of nasopharyngeal carcinoma primary tumors versus non-cancerous nasopharyngeal tissues.
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Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively.
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PMID 38753689 full text
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Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38753689", "kind": "science-record", "revision": 3, "content_hash": "sha256:6d3022d73abcae5b03fe575ff3dc986ca5935e1ba39ce73b12271689f4bc04c6", "created_at": "2026-11-01T19:20:42Z", "updated_at": "2026-11-01T22:11:52Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Explore the shared molecular mechanism between dermatomyositis and nasopharyngeal cancer by bioinformatic analysis.", "doi": "10.1371/journal.pone.0296034", "pmid": "38753689", "authors": ["Xiuqin Zhong", "Jingjing Shang", "Rongwei Zhang", "Xiuling Zhang", "Le Yu", "Haitao Niu", "Xinwang Duan"], "journal": "PloS one", "year": 2024, "abstract": "BACKGROUND: Dermatomyositis (DM) is prone to nasopharyngeal carcinoma (NPC), but the mechanism is unclear. This study aimed to explore the potential pathogenesis of DM and NPC.\nMETHODS: The datasets GSE46239, GSE142807, GSE12452, and GSE53819 were downloaded from the GEO dataset. The disease co-expression module was obtained by R-package WGCNA. We built PPI networks for the key modules. ClueGO was used to analyze functional enrichment for the key modules. DEG analysis was performed with the R-package \"limma\". R-package \"pROC\" was applied to assess the diagnostic performance of hub genes. MiRNA-mRNA networks were constructed using MiRTarBase and miRWalk databases.\nRESULTS: The key modules that positively correlated with NPC and DM were found. Its intersecting genes were enriched in the negative regulation of viral gene replication pathway. Similarly, overlapping down-regulated DEGs in DM and NPC were also enriched in negatively regulated viral gene replication. Finally, we identified 10 hub genes that primarily regulate viral biological processes and type I interferon responses. Four key genes (GBP1, IFIH1, IFIT3, BST2) showed strong diagnostic performance, with AUC>0.8. In both DM and NPC, the expression of key genes was correlated with macrophage infiltration level. Based on hub genes' miRNA-mRNA network, hsa-miR-146a plays a vital role in DM-associated NPC.\nCONCLUSIONS: Our research discovered pivot genes between DM and NPC. Viral gene replication and response to type I interferon may be the crucial bridge between DM and NPC. By regulating hub genes, MiR-146a will provide new strategies for diagnosis and treatment in DM complicated by NPC patients. For individuals with persistent viral replication in DM, screening for nasopharyngeal cancer is necessary.", "claims": [{"id": "claim-method", "statement": "Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38753689", "locator": "sections[4] \"Co-expression network construction and identification of key gene modules\" paragraph 2", "quote": "Using R-package WGCNA [11], we identified gene sets significantly associated with DM and NPC phenotypes, respectively."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Finally, four datasets (GSE46239, GSE12452, GSE142807, GSE53819) were downloaded (S2–S5 Tables). The datasets GSE46239 and GSE53819 were selected as training sets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38753689", "locator": "sections[3] \"GEO dataset download and process\" paragraph 2", "quote": "Finally, four datasets (GSE46239, GSE12452, GSE142807, GSE53819) were downloaded (S2–S5 Tables). The datasets GSE46239 and GSE53819 were selected as training sets."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Viral gene replication and type I interferon response may be the crucial bridge between dermatomyositis and nasopharyngeal carcinoma.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38753689", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our research discovered pivot genes between DM and NPC. Viral gene replication and response to type I interferon may be the crucial bridge between DM and NPC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Viral gene replication and type I interferon response may be the crucial bridge between dermatomyositis and nasopharyngeal carcinoma.", "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:38753689"], "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:GSE12452"], "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:GSE12452"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38753689", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1371/journal.pone.0296034", "sha256": "sha256:c06bd092920e3c8fd4c41292456070f1a11beb77bdfbcfcfdd0f08a41edd9ceb", "bytes": 30554, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1371/journal.pone.0296034", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11098312", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE12452", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE12452", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE12452", "version": null, "note": "Finally, four datasets (GSE46239, GSE12452, GSE142807, GSE53819) were downloaded (S2–S5 Tables). 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