Identification of a 3-miRNA Signature Associated With the Prediction of Prognosis in Nasopharyngeal Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35155213", "kind": "science-record", "revision": 4, "content_hash": "sha256:da3251b1a44c958d3b67b6788cda0a93845df192e9c8c5332842a0cec94085e2", "created_at": "2026-11-01T17:36:54Z", "updated_at": "2026-11-01T22:05:52Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of a 3-miRNA Signature Associated With the Prediction of Prognosis in Nasopharyngeal Carcinoma.", "doi": "10.3389/fonc.2021.823603", "pmid": "35155213", "authors": ["Jinhui Zhou", "Bo Zhang", "Xin Zhang", "Chengyu Wang", "Yu Xu"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "Nasopharyngeal carcinoma (NPC) is a malignant tumor caused by an infection of the epithelial cells of the nasopharynx, which is highly metastatic and aggressive. Due to the deep anatomical site and atypical early symptoms, the majority of NPC patients are diagnosed at terminal stages. There is growing evidence that microRNAs offer options for early detection, accurate diagnosis, and prediction of malignancy treatment response. Therefore, the purpose of this article was to identify microRNAs that predict the prognosis of patients with NPC by integrating biological information analysis. In this study, we utilized the GSE36682 dataset rooted in the Gene Expression Omnibus (GEO) data bank, including 62 cases of NPC tissues and six cases of non-cancerous tissues. The miRNAs were subjected to weighted gene co-expression network analysis, and hub miRNAs were screened for differentially upregulated miRNAs from modules highly correlated with tumor progression. We took a lot of time to calculate the risk scores of miRNA markers for 62 NPC patients, and incidentally combined the clinical survival information of patients to finally identify the three key miRNAs, and then divided the patients into low- and high-risk groups. Kaplan-Meier curve analysis revealed that the overall survival of patients in the high-risk group was obviously shorter than that of the low-risk group. Subsequently, the target genes of the three miRNAs were predicted and analyzed for functional enrichment. In summary, a prognostic predictive risk model based on three miRNA profiles may increase prognostic predictive value and provide reference information for the precise treatment of nasopharyngeal carcinoma.", "claims": [{"id": "claim-method", "statement": "Next, we constructed a prognostic signature by using the lasso Cox regression model to analyze the expression levels of hub miRNAs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35155213", "locator": "sections[15] \"Hub miRNAs and the Survival Prognosis Prediction Model\" paragraph 2", "quote": "Next, we constructed a prognostic signature by using the lasso Cox regression model to analyze the expression levels of hub miRNAs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35155213", "locator": "sections[21] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A three-miRNA prognostic risk model achieved AUC values of 0.69, 0.76, and 0.87 for predicting 1-, 3-, and 5-year survival, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35155213", "locator": "sections[15] \"Hub miRNAs and the Survival Prognosis Prediction Model\" paragraph 4", "quote": "The model for predicting the overall survival (OS) period of patients was verified by applying ROC curves, and we found that the AUC values of this risk model for predicting prognosis at 1, 3, and 5 years were 0.69, 0.76, and 0.87, respectively, indicating that the model has high accuracy in predicting prognosis survival of patients with nasopharyngeal carcinoma ( Figure 3E )."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A three-miRNA prognostic risk model achieved AUC values of 0.69, 0.76, and 0.87 for predicting 1-, 3-, and 5-year survival, respectively.", "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:35155213"], "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:GSE32960"], "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:GSE32960"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35155213", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2021.823603", "sha256": "sha256:06d74fd0fb36d4d010dea421c7bf26f8c63fde61390be5eeb48cb5be0b63d55a", "bytes": 26590, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2021.823603", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8828644", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE32960", "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=GSE32960", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE32960", "version": null, "note": "The original contributions presented in the study are included in the article/supplementary material. 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