Construction of a novel disulfidptosis-related lncRNAs signature for prognosis prediction and anti-tumor immunity in laryngeal squamous cell carcinoma.

Disulfidptosis, an innovative type of controlled cellular death linked to metabolic dysfunction, has garnered attention. However, there is limited knowledge regarding the involvement of disulfidptosisrelated lnRNAs (DRlncRNAs) in laryngeal squamous cell carcinoma (LSCC). The objective of our team in this study seeks to establish a DRlncRNAs signature, investigate their prognostic value in LSCC, and explore their associations with immune cell subpopulations, biological signaling pathways, and exploring implications for drug sensitivity. We accessed LSCC patients' RNA-seq data and pertinent clinical data for subsequent further analysis from The Cancer Genome Atlas (TCGA) portal. A literature search was conducted focusing on disulfidptosis-related genes. Pearson correlation coefficients were calculated to identify DRlncRNAs. Differential expression analysis of lncRNAs was performed. Utilizing univariate Cox regression analysis, we identified disulfidptosis-associated prognostic lncRNAs. The LASSO-Cox regression analysis was employed to refine this set of lncRNAs and construct a disulfidptosis-related lncRNAs signature. Various statistical techniques were employed to appraise model predictive performance. Subsequently, risk groups were stratified based on the risk score derived from the DRlncRNAs signature. The superiority of the risk score in prognostication over traditional clinicopathological features in LSCC patients was demonstrated. Evident distinctions emerged between risk groups, particularly in immune cell subpopulations like activated mast cells, eosinophils, and activated NK cells. Finally, the low-risk group demonstrated reduced IC50 values for specific chemotherapeutics like cisplatin and gemcitabine. The in vitro experiments indicated differential behavior of our DRlncRNAs. The DRlncRNAs signature can serve as a robust biomarker with the ability to predict both prognosis and therapeutic responses among patients with LSCC.

Construction of a novel MPT-driven necrosis-related lncRNAs signature for prognosis prediction in laryngeal squamous cell carcinoma.

Mitochondrial permeability transition (MPT)-driven necrosis, a type of programmed cell death, has recently gained much attention in a variety of tumor types. Few studies have been performed to explore the role of MPT-driven necrosis-related lncRNAs (MPTDNRlncRNAs) in laryngeal squamous cell carcinoma (LSCC). The purpose of our study is to screen MPTDNRlncRNAs with prognostic value and to explore their potential roles in LSCC. The RNA-sequencing data and the corresponding clinical data of LSCC patients were obtained from the TCGA database, and those MPT-driven necrosis-related genes were extracted from the Gene Set Enrichment Analysis (GSEA) database. We identified MPTDNRlncRNAs differentially expressed in LSCC. Also, we gained MPT-driven necrosis-related prognostic lncRNAs by univariate cox regression analysis. A novel MPTDNRlncRNAs signature was constructed by LASSO-COX. The accuracy and utility of the MPTDNRlncRNAs signature were evaluated via a variety of statistical methods. Multiple bioinformatics tools were used to explore the underlying difference in biological functions and signaling pathways between the different risk groups. The expressions levels of MPTDNRlncRNAs were analyzed using RT-qPCR in LSCC cell line. Finally, we identified A 5 MPTDNRlncRNAs signature in LSCC. Our prognostic model demonstrated an efficient ability to predict outcomes. The proportion difference of immune cells in the subgroups were significant, such as M0 macrophage and T follicular helper cells. The in vitro experiments suggested that our MPTDNRlncRNAs were significantly different. This 5 MPTDNRlncRNAs signature is a prognostic biomarker for LSCC. More importantly, the novel biologic prognostic model can be utilized for personalized immunotherapy in LSCC patients.

Cuproptosis-related LncRNA signatures as a prognostic model for head and neck squamous cell carcinoma.

Cuproptosis is a novel, distinct form of regulated cell death. However, little is known about the role of cuproptosis-related lncRNAs (CRlncRNAs) in head and neck squamous cell carcinoma (HNSCC). This study aimed to identify a CRlncRNAs signature, explore its prognostic value in HNSCC. RNA-seq data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database, and cuproptosis-related genes were identified from a search of the relevant candidate-gene literature. Analysis of differentially expressed lncRNAs (DElncRNAs) was performed using the R package "edgeR". The intersection of the lncRNAs between DElncRNAs and CRlncRNAs was obtained using the R package "Venn Diagram". Univariate Cox regression was used to identify cuproptosis-related prognostic lncRNAs. LASSO-Cox method was used to narrow these cuproptosis-related prognostic lncRNAs and construct a prognostic model. Multiple statistical methods were used to evaluate the predictive ability of the model. Moreover, the relationships between the model and immune cell subpopulations, related functions and pathways and drug sensitivity were explored. Then, two risk groups were established according to the risk score calculated by the CRlncRNAs signature included three lncRNAs. In HNSCC patients, the risk score was a better predictor of survival than traditional clinicopathological features. In addition, significant differences in immune cells such as B cells, T cells and macrophages were observed between the two groups. Finally, the high-risk group had a lower IC50 for certain chemotherapeutic agents, such as cisplatin and cetuximab. This 3 CRlncRNAs signature is a powerful prognostic biomarker for predicting clinical outcomes and therapeutic responses in HNSCC patients.

[Ortner's syndrome caused by intramural aortic hematoma: a case report].

The clinical manifestations were hoarseness, and no sore throat, fever, dyspnea and dysphagia were found. The patient was in good health and had no history of cardiovascular disease, throat disease, diabetes, asthma, tumor, etc. The left vocal cord paralysis was seen by electronic laryngoscope, and aortic intramural hematoma was found by chest CT examination. In addition, we combined MIMICS digital 3D reconstruction technology to further clarify the lesion. After a series of physical examinations and related examinations, the patient was finally diagnosed as Ortner's syndrome caused by a rare cause of aortic intramural hematoma.