ABSTRACT
PURPOSE: To friendly predict a reference prognostic outcome for idiopathic sudden sensorineural hearing loss (ISSNHL) patients with or without anxiety, we identified independent prognostic factors and developed practical predictive tools without invasive tests. METHODS: Patients with ISSNHL in our center were enrolled from June 2013 to December 2018. Univariate and multivariate logistic regression analyses were performed to identify independent prognostic factors of the complete recovery and the overall recovery for ISSNHL, which were subsequently utilized to develop the web nomograms. The discrimination, calibration, and clinical benefit were used to evaluate the performance of nomograms for ISSNHL. RESULTS: 704 ISSNHL patients were finally enrolled in this study. Multivariate logistic regression analysis showed that age, time of onset, gender, affected ear, degree, and type of hearing loss were independent prognostic factors of complete recovery. Age, time of onset, affected ear, and type of hearing loss were independent prognostic factors of overall recovery. Web predictive nomograms were developed with excellent discrimination, calibration, and clinical value. CONCLUSION: Based on the patients' data with a considerable size, independent noninvasive prognostic factors of complete recovery and overall recovery of ISSNHL were identified. Integrating these prognostic factors without invasive tests, practical web predictive nomograms were developed. Using web nomograms, clinical doctors could provide reference data (the predicted recovery rate) for supporting prognostic consultation of ISSNHL patients, especially those with anxiety.
Subject(s)
Deafness , Hearing Loss, Sensorineural , Hearing Loss, Sudden , Humans , Prognosis , Retrospective Studies , Hearing Loss, Sensorineural/diagnosis , Hearing Loss, Sudden/diagnosisABSTRACT
OBJECTIVE: The objective of this study is to compare the overall survival (OS) and the cancer-specific survival (CSS) for patients of T1aN0M0 glottic cancer who underwent laser surgery (LS) or radiation (RT). METHODS: The data of the population-based analysis were extracted from the SEER database. The studies of the meta-analysis were identified through PubMed, EMBASE, and Cochrane databases. Cox regression analyses, the propensity score analysis (PSM), survival analyses, and the meta-analysis were performed. RESULTS: In the population-based analysis, 2101 eligible patients were included. Multivariable Cox analyses indicated that patients accepting LS alone would obtain better OS (HR 0.77, 95% CI 0.61-0.98, p = 0.03) and CSS (HR 0.26, 95% CI 0.12-0.59, p = 0.001) than those of whom they accepted RT alone. Survival analyses before PSM and after PSM also indicated that patients who underwent LS alone would have better OS and CSS. In the meta-analysis, nine eligible studies were included. Results of the pooled effect showed that significant differences existed between LS and RT groups on OS (OR: 1.84, 95% CI 1.36-2.50, p < 0.001) and CSS (OR 3.84, 95% CI 1.17-12.52, p = 0.026), both distinctly favoring LS. CONCLUSIONS: Compared with RT, LS may acquire better survivals for patients with T1aN0M0 glottic cancer. Simultaneously, more multi-center randomized controlled trials would be warranted to prove the conclusion.
Subject(s)
Laryngeal Neoplasms , Laser Therapy , Tongue Neoplasms , Humans , Laryngeal Neoplasms/radiotherapy , Laryngeal Neoplasms/surgery , Laser Therapy/methods , Propensity Score , SEER Program , Survival Analysis , Tongue Neoplasms/surgerySubject(s)
End Stage Liver Disease , von Willebrand Factor , C-Reactive Protein , Humans , Severity of Illness Index , SodiumSubject(s)
Cannula , Catheterization, Peripheral , Adult , Catheterization, Peripheral/adverse effects , Humans , Risk FactorsSubject(s)
Laryngeal Neoplasms , Gene Expression Profiling , Humans , Laryngeal Neoplasms/diagnosis , PrognosisABSTRACT
The option of T1a glottic cancer treatments remarkably varied in different countries. This study aimed to construct predictive models to predict overall survival (OS) and cancer-specific survival (CSS) of patients with initially diagnosed T1a glottic cancer. And we used propensity score matching (PSM) to reassess the effect of treatments.Data of patients with initially diagnosed T1a glottic cancer were extracted from the Surveillance, Epidemiology, and End Results database. Patients with complete information were randomly divided into the training and the validation cohorts (7:3). Cox regression was conducted to screen significant predictors of the OS and the CSS. PSM was performed to mimic randomized controlled trials. Survival analyses were performed by Kaplan-Meier survival methods, and log-rank tests were utilized.A total of 2342 patients met the inclusion criteria. Survival analyses showed that patients who underwent primary site surgery would have better OS and CSS. Univariate analyses and multivariate analyses proved that stage, N stage, primary site surgery, and chemotherapy significantly affected both the OS and the CSS. Predictive nomograms were established to predict patients' prognosis. Finally, the OS and the CSS for patients who underwent primary site surgery alone were significantly longer than those who underwent radiation alone before and after PSM.We constructed nomograms predicting the OS and the CSS of patients with initially diagnosed T1a glottic cancer. Compared to our previous studies, this study indicated that primary site surgery may be superior to radiation and chemotherapy. At present, chemotherapy should be not recommended for T1a glottic cancer patients.
Subject(s)
Laryngeal Neoplasms/mortality , Laryngeal Neoplasms/therapy , Nomograms , Aged , Chemotherapy, Adjuvant , Female , Glottis/pathology , Glottis/surgery , Humans , Laryngeal Neoplasms/pathology , Male , Matched-Pair Analysis , Prognosis , Propensity Score , Proportional Hazards Models , Radiotherapy, Adjuvant , SEER ProgramABSTRACT
Autophagy, a major cause of cancer-related death, is correlated with the pathogenesis of various diseases including cancers. Our study aimed to develop an autophagy-related model for predicting prognosis of patients with laryngeal cancer.We analyzed the correlation between expression profiles of autophagy-related genes (ARGs) and clinical outcomes in 111 laryngeal cancer patients from The Cancer Genome Atlas (TCGA). Afterward, gene functional enrichment analyses of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to find the major biological attributes. Univariate Cox regression analyses and multivariate Cox regression analyses were performed to screen ARGs whose expression profiles were significantly associated with laryngeal cancer patients overall survival (OS). Furthermore, to provide the doctors and patients with a quantitative method to perform an individualized survival prediction, we constructed a prognostic nomogram.Thirty eight differentially expressed ARGs were screened out in laryngeal cancer patients through the TCGA database. Related functional enrichments may act as tumor-suppressive roles in the tumorigenesis of laryngeal cancer. Subsequently, 4 key prognostic ARGs (IKBKB, ST13, TSC2, and MAP2K7) were identified from all ARGs by the Cox regression model, which significantly correlated with OS in laryngeal cancer. Furthermore, the risk score was constructed, which significantly divided laryngeal cancer patients into high- and low-risk groups. Integrated with clinical characteristics, gender, N and the risk score are very likely associated with patients OS. A prognostic nomogram of ARGs was constructed using the Cox regression model.Our study could provide a valuable prognostic model for predicting the prognosis of laryngeal cancer patients and a new understanding of autophagy in laryngeal cancer.
Subject(s)
Autophagy/genetics , Laryngeal Neoplasms/genetics , Nomograms , Age Factors , Carrier Proteins/genetics , Gene Expression Profiling , Humans , I-kappa B Kinase/genetics , Laryngeal Neoplasms/pathology , MAP Kinase Kinase 7/genetics , Models, Biological , Neoplasm Staging , Prognosis , Proportional Hazards Models , Risk Factors , Sex Factors , Survival Rate , Transcriptome , Tuberous Sclerosis Complex 2 Protein/genetics , Tumor Suppressor Proteins/geneticsSubject(s)
Cranial Nerve Neoplasms , Mouth Neoplasms , Neurilemmoma , Humans , Mouth Neoplasms/surgeryABSTRACT
Adenoid cystic carcinoma (ACC) is one of the most frequent malignancies of salivary glands. The objective of this study was to identify key genes and potential mechanisms during ACC samples.The gene expression profiles of GSE88804 data set were downloaded from Gene Expression Omnibus. The GSE88804 data set contained 22 samples, including 15 ACC samples and 7 normal salivary gland tissues. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were constructed, and protein-protein interaction network of differentially expressed genes (DEGs) was performed by Cytoscape. The top 10 hub genes were analyzed based on Gene Expression Profiling Interactive Analysis. Then, DEGs between ACC samples and normal salivary gland samples were analyzed by gene set enrichment analysis. Furthermore, miRTarBase and Cytoscape were used for visualization of miRNA-mRNA regulatory network. KEGG pathway analysis was undertaken using DIANA-miRPath v3.0.In total, 382 DEGs were identified, including 119 upregulated genes and 263 downregulated genes. GO analysis showed that DEGs were mainly enriched in extracellular matrix organization, extracellular matrix, and calcium ion binding. KEGG pathway analysis showed that DEGs were mainly enriched in p53 signaling pathway and salivary secretion. Expression analysis and survival analysis showed that ANLN, CCNB2, CDK1, CENPF, DTL, KIF11, and TOP2A are all highly expressed, which all may be related to poor overall survival. Predicted miRNAs of 7 hub DEGs mainly enriched in proteoglycans in cancer and pathways in cancer.This study indicated that identified DEGs and hub genes might promote our understanding of molecular mechanisms, which might be used as molecular targets or diagnostic biomarkers for ACC.
