PLAU and LAMC2 can predict a poor prognosis in patients with HNSCC.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37325056", "kind": "science-record", "revision": 2, "content_hash": "sha256:32b5a574dd44c46b6255dbfa1bb3f2e27d3d04bccd164a1d70efcea2df8a5e53", "created_at": "2026-11-01T19:02:03Z", "updated_at": "2026-11-01T21:30:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "PLAU and LAMC2 can predict a poor prognosis in patients with HNSCC.", "doi": "10.7150/jca.84407", "pmid": "37325056", "authors": ["Zhi-Chen Guo", "Si-Li Jing", "Hao Cui", "Lin-Yang Xie", "Si-Jia Na", "Jun-Bo Tu"], "journal": "Journal of Cancer", "year": 2023, "abstract": "Objectives: Head and neck squamous cell carcinoma (HNSCC) is the most common malignancy of the head and neck. However, the molecular mechanisms governing the development of HNSCC have not been fully elucidated. Materials and Methods: Differentially expressed genes (DEGs) were screened out from The Cancer Genome Atlas (TCGA) and GSE23036 datasets. Weighted gene coexpression network analysis (WGCNA) was used to reveal the correlations among genes and to search for significantly correlated gene modules. The expression levels of genes in HNSCC and normal samples according to antibody-based detected methods was assessed by utilizing the Human Protein Atlas (HPA). The impact of the selected hub genes on the prognosis of HNSCC patients was assessed by analysing immunohistochemistry (IHC) and immunofluorescence (IF) expression levels and clinical data. Results: Twenty-four genes positively correlated with tumour status and 15 genes negatively correlated with tumour status were screened out by WGCNA. PLAU and LAMC2 were associated with a poor prognosis in patients with HNSCC and were finally screened out and verified by GEPIA and HPA database analysis. Immunohistochemistry of samples collected from 175 patients with HNSCC and subsequent statistical analysis also showed that PLAU and LAMC2 were associated with a poor prognosis in patients with HNSCC, and the levels of these two factors were positively correlated. The expression and co-localization of PLAU and LAMC2 in HNSCC tissues were confirmed by double immunofluorescence labeling. Conclusions: There was a positive correlation between PLAU and LAMC2 expression in HNSCC samples, and PLAU and LAMC2 might be independent prognostic biomarkers for HNSCC.", "claims": [{"id": "claim-method", "statement": "Weighted gene coexpression network analysis (WGCNA) is an algorithm that is based on high‐throughput gene expression profiles and is widely used in gene coexpression network identification in various diseases to reveal the correlation of genes and to search for significantly correlated gene modules.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37325056", "locator": "sections[6] \"Coexpression analysis of DEGs in HNSCC in both databases\" paragraph 2", "quote": "Weighted gene coexpression network analysis (WGCNA) is an algorithm that is based on high‐throughput gene expression profiles and is widely used in gene coexpression network identification in various diseases to reveal the correlation of genes and to search for significantly correlated gene modules."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and analysed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37325056", "locator": "sections[25] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and analysed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Twenty-four genes positively correlated with tumour status and 15 genes negatively correlated with tumour status were screened out by WGCNA.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37325056", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Twenty-four genes positively correlated with tumour status and 15 genes negatively correlated with tumour status were screened out by WGCNA."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Twenty-four genes positively correlated with tumour status and 15 genes negatively correlated with tumour status were screened out by WGCNA.", "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:37325056"], "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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