An oxidative stress-related prognostic signature for indicating the immune status of oral squamous cell carcinoma and guiding clinical treatment.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36212161", "kind": "science-record", "revision": 4, "content_hash": "sha256:d816df29f7b372f990a6ae94209601b3e153d5dc9c53792c11f5a492fc581554", "created_at": "2026-11-01T18:15:33Z", "updated_at": "2026-11-01T22:07:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "An oxidative stress-related prognostic signature for indicating the immune status of oral squamous cell carcinoma and guiding clinical treatment.", "doi": "10.3389/fgene.2022.977902", "pmid": "36212161", "authors": ["Wei Lu", "Changwei Yin", "Tianqi Zhang", "Yihua Wu", "Shengyun Huang"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Oral squamous cell carcinoma (OSCC) is the eighth most common cancer worldwide and presents high mortality. Oxidative stress, caused by reactive oxygen species accumulation, plays a crucial role in tumorigenesis, cancer progression, and drug resistance. Nevertheless, the specific prognostic and clinical values of oxidative stress-related genes (OSGs) in OSCC remain unclear. Here, we developed an oxidative stress-related prognostic signature according to mRNA expression data from The Cancer Genome Atlas (TCGA) database and evaluated its connections with the prognosis, clinical features, immune status, immunotherapy, and drug sensitivity of OSCC through a series of bioinformatics analyses. Finally, we filtered out six prognostic OSGs to construct a prognostic signature. On the basis of both TCGA-OSCC and GSE41613 cohorts, the signature was proven to be an independent prognostic factor with high accuracy and was confirmed to be an impactful indicator for predicting the prognosis and immune status of patients with OSCC. Additionally, we found that patients with high-risk scores may obtain greater benefit from immune checkpoint therapy compared to those with low-risk scores, and the risk score presented a close interaction with the tumor microenvironment and chemotherapy sensitivity. The prognostic signature may provide a valid and robust predictive tool that could predict the prognosis and immune status and guide clinicians to develop personalized therapeutic strategies for patients with OSCC.", "claims": [{"id": "claim-method", "statement": "Next, to minimize the risk of overfitting, we constructed a prognostic model based on the prognostic OSGs using LASSO Cox regression analysis using the R packages “survival” and “glmnet.”", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36212161", "locator": "sections[5] \"Construction of an oxidative stress-related prognostic signature\" paragraph 2", "quote": "Next, to minimize the risk of overfitting, we constructed a prognostic model based on the prognostic OSGs using LASSO Cox regression analysis using the R packages “survival” and “glmnet.”"}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets presented in this study are included in the article/Supplementary Material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36212161", "locator": "sections[21] \"Data availability statement\" paragraph 2", "quote": "All datasets presented in this study are included in the article/Supplementary Material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "On the basis of both TCGA-OSCC and GSE41613 cohorts, the signature was proven to be an independent prognostic factor with high accuracy and was confirmed to be an impactful indicator for predicting the prognosis and immune status of patients with OSCC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36212161", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "On the basis of both TCGA-OSCC and GSE41613 cohorts, the signature was proven to be an independent prognostic factor with high accuracy and was confirmed to be an impactful indicator for predicting the prognosis and immune status of patients with OSCC."}, {"asset": "source:pmid:36212161", "locator": "sections[14] \"Prognostic evaluation of the gene signature in the training and validation cohorts\" paragraph 2", "quote": "The AUC values of the risk score reached 0.688 in TCGA-OSCC cohort and 0.709 in GEO-OSCC cohort at 3 years, which were both higher than those of the clinical variables (Figures 2C,D)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "On the basis of both TCGA-OSCC and GSE41613 cohorts, the signature was proven to be an independent prognostic factor with high accuracy and was confirmed to be an impactful indicator for predicting the prognosis and immune status of patients with OSCC.", "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:36212161"], "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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