Objectives: Ferroptosis is an iron-dependent form of programmed cell death, which affects the prognosis of many cancers. Some long non-coding RNA (lncRNA) can affect the prognosis of cancer by regulating the process of ferroptosis. However, the role of ferroptosis-related lncRNA (frlncRNA) in oral squamous cell carcinoma (OSCC) is not yet clear.Materials and Methods: The data of OSCC patients were downed from The Cancer Genome Atlas (TCGA). After univariate and multivariate Cox regression analysis, the prognosis-related ferroptosis-related lncRNAs were obtained to construct a prognostic model. Calculated the risk score to divide patients into high and low risk groups, and evaluated the predictive ability of the model and the differential expression of immunity in the high and low risk groups.Results: The prognostic model for OSCC was constructed based on 8 prognostic-related frlncRNAs which co-expressed with 25 mRNAs. Kaplan-Meier analyses displayed that the risk score is inversely proportional to patient survival. Receiver operating characteristic (ROC) and decision curve analysis (DCA) indicated that the risk score is superior to other clinical characteristics, and independent prognostic analysis demonstated that risk score is independent factor for the overall survival (OS) rate. The results of immunological analysis showed differences in immune cells, functions, immune checkpoints, and m6A expression between high and low risk groups.Conclusion: We constructed an OSCC patients prognosis model based on 8 frlncRNAs, which can provide prognostic evaluation and immune analysis for OSCC patients, and provided new direction for OSCC targeted therapy.
Objective The purpose of this study was to analyze the difference of survival rates in paitents with oropharyngeal keratinizing squamous cell carcinoma (KSCC), nonkeratinizing squamous cell carcinoma (NKSCC), basaloid squamous cell carcinoma (BSCC), and papillary squamous cell carcinoma (PSCC). Materials and methods Patients diagnosed with oropharyngeal squamous cell carcinoma between 2004 and 2015 were collected from the SEER database. Cox proportional hazards models and Kaplan–Meier curves were used for survival analysis. Propensity score matching (PSM) was performed to adjust for the effect of confounding variables. Due to the small sample size of PSCC, this study did not perform PSM between it and other subtypes. Results The 5-year cancer-specific survival (CSS) rate of PSCC was higher than that of KSCC, NKSCC, and BSCC (0.627 vs. 0.812 vs. 0.789 vs. 0.875, P < 0.05); And the CSS rate of KSCC was lower than that of other subtypes both before and after PSM. In addition, the 5-year and 10-year CSS rates of BSCC were not different from NKSCC ( P > 0.05), but not as good as NKSCC in the long term ( P = 0.028). After PSM, the 5-year, 10-year, and long-term prognosis of BSCC were significantly worse than those of NKSCC ( P < 0.001). Conclusion The 5-year CSS of PSCC was better than the other three subtypes. The short-term prognosis of BSCC was not significantly different from NKSCC, but the long-term survival was lower than that of NKSCC, and the difference was more obvious after PSM. Meanwhile, the prognosis of KSCC was worst.
Background Studies on neck management of early-stage floor of mouth (FOM) squamous cell carcinoma (SCC) are very few and controversial. We aimed to study whether elective neck dissection (END) for patients with clinically stage T1N0M0 (cT1N0M0) FOM SCC is beneficial for survival. Methods Information on patients diagnosed with cT1N0M0 FOM SCC between 2004 and 2015 was collected from the Surveillance, Epidemiology and End Results (SEER) database. Cox proportional risk models and Kaplan–Meier curves were used for survival analysis and log-rank tests were performed to compare whether overall survival (OS) and cancer-specific survival (CSS) differed. Propensity score matching (PSM) was performed to eliminate the effect of confounding variables. Results There were 1014 patients with cT1N0M0 FOM SCC. Among them, END group: 455 cases; observation group: 559 cases. COX regression analysis before PSM demonstrated hazard ratio (HR) in the observation group compared to END (OS: 1.108 (.926–1.326), P = .262; CSS: 1.033 (.772–1.382), P = .827). There was no survival difference between END and observation survival before PSM (5-year OS: 71.8% vs. 67.8%, P = .180; 5-year CSS: 84.5% vs. 84.8%, P = .930); the matched results were the same as before PSM. Conclusion Observation may be a more appropriate option compared with END in cT1N0M0 FOM SCC.
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