m6A/HOXA10-AS/ITGA6 axis aggravates oxidative resistance and malignant progression of laryngeal squamous cell carcinoma through regulating Notch and Keap1/Nrf2 pathways

Zhao, Kai; Chen, Liwei; Xie, Yingli; Ren, Nan; Li, Jianhui; Zhai, Xingyou; Zheng, Shikang; Liu, Kun; Wang, Cheng; Qiu, Qibing; Peng, Xin; Wang, Wenjia; Liu, Jinjing; Che, Qin; Fan, Junda; Hu, Hai; Liu, Mingbo

doi:10.1016/j.canlet.2024.216735

Cited by 2 publications

(1 citation statement)

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“…LSCC, marked by swift advancement, local spread, and lymph node spreading, severely hinders patients’ ability to speak, swallow, and breathe. This ultimately results in rapid cancer-related death ( 2 ). Significant advancements have been made in treating LSCC over the past decades.…”

Section: Introductionmentioning

confidence: 99%

A signature of four ferroptosis-related genes in laryngeal squamous cell carcinoma

Zhao,

Chen,

Qiao

et al. 2024

Transl Cancer Res

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Background Laryngeal squamous cell carcinoma (LSCC) prognosis has not improved significantly in the past few decades, and more effective treatments are needed to be explored. Ferroptosis is a newly discovered kind of regulated cell death in recent years, which is related to tumor immunity and can used to treat tumors. Therefore, the prognostic value of ferroptosis-related genes in laryngeal cancer needs further clarification. Methods In this study, the mRNA expression profile data of LSCC were downloaded from the public database. After identifying ferroptosis-related differentially expressed genes (FDGs), we explored the role of these genes through functional enrichment analysis. FDGs with prognostic significance were identified by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses. By calculating the risk score, we constructed a prognostic model. Kaplan-Meier (K-M) analysis, the receiver operating characteristic (ROC) curves, and the nomogram were utilized to investigate this model. Public databases and quantitative real-time polymerase chain reaction (qRT-PCR) were performed to verify the expression of model genes. Results The model consisting of four FDGs was acknowledged to be a self-determining predictor of prognosis. The K-M survival curves and the ROC curves confirmed the model’s predictive ability. The C index (0.805) indicates that the nomogram has a good predictive ability. In vitro studies have confirmed the differential expression of the four FDGs. Conclusions We identified a novel ferroptosis-related gene signature for predicting prognosis in LSCC.

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Section: Introductionmentioning

confidence: 99%