Novel Therapies for Tongue Squamous Cell Carcinoma Patients with High-Grade Tumors.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34440557", "kind": "science-record", "revision": 7, "content_hash": "sha256:98cb9e4ca163572e06bb3a9999a2c30860bbd7d7d0989bd7bd68f3480004e30c", "created_at": "2026-11-01T15:41:49Z", "updated_at": "2026-11-01T22:04:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Novel Therapies for Tongue Squamous Cell Carcinoma Patients with High-Grade Tumors.", "doi": "10.3390/life11080813", "pmid": "34440557", "authors": ["Yinghua Li", "Hao Lin", "Lu Chen", "Zihao Chen", "Weizhong Li"], "journal": "Life (Basel, Switzerland)", "year": 2021, "abstract": "BACKGROUND: Tongue squamous cell carcinoma (TSCC) patients with high-grade tumors usually suffer from high occurrence and poor prognosis. The current study aimed at finding the biomarkers related to tumor grades and proposing potential therapies by these biomarkers.\nMETHODS: The mRNA expression matrix of TSCC samples from The Cancer Genome Atlas (TCGA) database was analyzed to identify hub proteins related to tumor grades. The mRNA expression patterns of these hub proteins between TSCC and adjacent control samples were validated in three independent TSCC data sets (i.e., GSE9844, GSE30784, and GSE13601). The correlation between cell cycle index and immunotherapy efficacy was tested on the IMvigor210 data set. Based on the structure of hub proteins, virtual screening was applied to compounds to find the potential inhibitors.\nRESULTS: A total of six cell cycle biomarkers (i.e., BUB1, CCNB2, CDC6, CDC20, CDK1, and MCM2) were selected as hub proteins by protein-protein interaction (PPI) analysis. In the validation data sets, the mRNA expression levels of these hub proteins were higher in tumor samples versus normal controls. The cell cycle index was constructed by the mRNA expression levels of these hub proteins, and patients with a high cell cycle index demonstrated favorable drug response to the immunotherapy. Three small molecules (i.e., ZINC100052685, ZINC8214703, and ZINC85537014) were found to bind with hub proteins and selected as drug candidates.\nCONCLUSION: The cell cycle index might provide a novel reference for selecting appropriate cancer patient candidates for immunotherapy. The current research might contribute to the development of precision medicine and improve the prognosis of TSCC.", "claims": [{"id": "claim-method", "statement": "DEGs were chosen by differential expression analysis among tumor grades using the Kruskal–Wallis rank-sum test (p-value < 0.05).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34440557", "locator": "sections[4] \"2.2. Selection of Grade-Associated Genes\" paragraph 2", "quote": "DEGs were chosen by differential expression analysis among tumor grades using the Kruskal–Wallis rank-sum test (p-value < 0.05)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed in this study. This data from TCGA can be found here: https://portal.gdc.cancer.gov/ (accessed on 15 June 2021). This data from GEO can be found here: https://www.ncbi.nlm.nih.gov/geo/ (accessed on 15 June 2021). All the datasets could be downloaded without any limitations.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34440557", "locator": "sections[28] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed in this study. This data from TCGA can be found here: https://portal.gdc.cancer.gov/ (accessed on 15 June 2021). This data from GEO can be found here: https://www.ncbi.nlm.nih.gov/geo/ (accessed on 15 June 2021). All the datasets could be downloaded without any limitations."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:34440557"], "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:GSE13601"], "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:GSE13601"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34440557", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/life11080813", "sha256": "sha256:40de76879ca55e7b2afe02d8194d24a476fb483172b9b8d8875f957384d658df", "bytes": 47118, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/life11080813", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8398384", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE13601", "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=GSE13601", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13601", "version": null, "note": "Publicly available datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed in this study. 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