Prognostic role of resection margin in open oncologic laryngeal surgery: survival analysis of a cohort of 139 patients affected by squamous cell carcinoma

Saraniti, Carmelo; Speciale, Riccardo; Gallina, Salvatore; Salvago, Pietro

doi:10.1016/j.bjorl.2018.04.012

Cited by 13 publications

(16 citation statements)

References 25 publications

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“…Consistent with previous studies, margin status was found to have a significant association with survival among patients with LSCC in the present study [29, 30]. Published trials about LSCC did not report that tumor status was an independent risk factor for OS.…”

Section: Discussionsupporting

confidence: 91%

A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma

et al. 2019

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Background Long noncoding RNAs (lncRNAs), which have little or no ability to encode proteins, have attracted special attention due to their potential role in cancer disease. We aimed to establish a lncRNA signature and a nomogram incorporating the genomic and clinicopathologic factors to improve the accuracy of survival prediction for laryngeal squamous cell carcinoma (LSCC). Methods A LSCC RNA-sequencing (RNA-seq) dataset and the matched clinicopathologic information were downloaded from The Cancer Genome Atlas (TCGA). Using univariable Cox regression and least absolute shrinkage and selection operator (LASSO) analysis, we developed a thirteen-lncRNA signature related to prognosis. On the basis of multivariable Cox regression analysis results, a nomogram integrating the genomic and clinicopathologic predictors was built. The predictive accuracy and discriminative ability of the inclusive nomogram were confirmed by calibration curve and a concordance index (C-index), and compared with the TNM staging system by C-index and receiver operating characteristic (ROC) analysis. Decision curve analysis (DCA) was conducted to evaluate the clinical value of our nomogram. Results Thirteen overall survival- (OS-) related lncRNAs were identified, and the signature consisting of the selected thirteen lncRNAs could effectively divide patients into high-risk and low-risk subgroups, with area under curves (AUC) of 0.89 (3-year OS) and 0.885 (5-year OS). Independent factors derived from multivariable analysis to predict survival were margin status, tumor status, and lncRNA signature, which were all assembled into the nomogram. The calibration curve for the survival probability showed that the predictions based on the nomogram coincided well with actual observations. The C-index of the nomogram was 0.82 (0.77-0.87), and the area under curve (AUC) of the nomogram in predicting overall survival (OS) was 0.938, both of which were significantly higher than the traditional TNM stage. Decision curve analysis further demonstrated that our nomogram had larger net benefit than TNM stage. Conclusion An inclusive nomogram for patients with LSCC, comprising genomic and clinicopathologic variables, generates more accurate estimations of the survival probability when compared with TNM stage alone, but more data are needed before the nomogram is used in clinical practice.

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Section: Discussionsupporting

confidence: 91%

A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma

et al. 2019

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“…TTTY14 (testis-specific transcript, Y-linked 14) was thought to be associated with human papillomavirus (HPV) induced tumorigenesis, the expression level of TTTY14 was obsearvedly differed between HPV inactive/negative group and HPV active group [28], in accordance with our functional enrichment analysis. In additional, TTTY14 was identified as significantly correlated with overall survival in OSCC and gastric cancer [26,27] Consistent with previous studies, margin status was found to be significant association with survival among patients with LSCC in the present study [29,30]. Published trials about LSCC did not reported that tumor status which was an independent risk factor for OS in our study was related to prognosis of LSCC.…”

Section: Rp11-169k164 and Rp11-107e53 To Predict Recurrence Of Patsupporting

confidence: 90%

A genomic-clinicopathologic nomogram predict survival for patients with laryngeal squamous cell carcinoma

Cui

Wen

Tan

et al. 2019

Preprint

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Long non-coding RNAs (lncRNAs), which have little or no ability to encode proteins, have attracted special attention due to their potential role in cancer disease. We aimed to establish a lncRNAs signature and a nomogram incorporating the genomic and clinicopathologic factors to improve the accuracy of survival prediction for laryngeal squamous cell carcinoma (LSCC). LSCC RNA sequencing (RNA-seq) data set and the matched clinicopathologic information were downloaded from the Cancer Genome Atlas (TCGA). Using univariable Cox regression and Least absolute shrinkage and selection operator (LASSO) analysis, we developed a thirteen lncRNAs signature related to prognosis. On the basis of multivariable Cox regression analysis results, a nomogram integrating the genomic and clinicopathologic predictors was built. The predictive accuracy and discriminative ability of the inclusive nomogram were confirmed by calibration curve and a concordance index (C-index), and compared with TNM stage system by C-index, receiver operating characteristic (ROC) analysis. Decision curve analysis (DCA) was conducted to assess clinical value of our nomogram. Consequently, thirteen overall survival (OS) -related lncRNAs were identified, and the signature consisting of the selected thirteen lncRNAs could effectively divide patients into high-risk and low-risk subgroup, with the area under curve (AUC) of 0.89 (3-year OS) and AUC of 0.885(5-year OS). Independent factors derived from multivariable analysis to predict survival were margin status, tumor status and lncRNAs signature, which were all assembled into the nomogram. The calibration curve for the survival probability showed that the predictions based on the nomogram were in good coincide with actual observations. The C-index of the nomogram was 0.82 (0.77-0.87), and the area under curve (AUC) of nomogram in predicting overall survival (OS) was 0.938, which were significantly higher than traditional TNM stage. Decision curve analysis further demonstrated that our nomogram had larger net benefit than TNM stage. In summary, an inclusive nomogram for patients with LSCC, comprising genomic and clinicopathologic variables, generates more accurate estimations of the survival probability when compared TNM stage alone, but more additional data remains needed before being used in clinical practice.

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“…Most patients are men. Typically, the ratio for men is 4:1, and the ratio for women is 20:1 (4). The application of more therapeutic methods and treatment concepts has greatly improved in the past decade, and the incidence of LSCC has decreased.…”

Section: Introductionmentioning

confidence: 99%

Correlation Between the NLRP3 Inflammasome and the Prognosis of Patients With LSCC

Tang

et al. 2019

Front. Oncol.

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Background: NLRP3 inflammasome is an inflammatory mediator. The expression of NLRP3 inflammasome is associated with the development of various tumors and is closely related to the prognosis of tumors. However, the role of NLRP3 inflammasome in laryngeal squamous cell carcinoma (LSCC) remains unclear. This study aim to investigate the influence of NLPR3 inflammasome expression in LSCC, and especially the NLRP3 inflammasome expression level and the prognosis of LSCC after surgery in a Chinese population. Methods: We used quantitative real-time PCR and immunohistochemical (IHC) staining to calculate the mRNA (20 patients, fresh tissue) and protein expression (104 patients, paraffin tissue microarray) levels of the NLRP3 inflammasome (NLRP3/IL-18/IL-1β/ASC/caspase-1), respectively. We also analyzed the relationship between NLRP3 inflammasome expression levels and LSCC cancer tissues compared with adjacent normal tissues and the clinical features of LSCC. Kaplan–Meier survival curves of overall survival (OS) and disease-free survival (DFS) in LSCC patients were compared and analyzed under different expression levels of the NLRP3 inflammasome. Results: Our results indicated that the mRNA expression of the NLRP3 inflammasome was higher in LSCC cancer tissues compared with adjacent normal tissues ( p < 0.001). The IHC staining score also demonstrated that the expression of the NLRP3 inflammasome was higher than in the adjacent normal tissues ( p < 0.001). The NLRP3 inflammasome expression also exhibited a close relationship with the clinicopathological characteristics (especially the stage of LSCC) of LSCC. Univariate Cox regression analysis and multivariate Cox regression analysis revealed that both NLRP3 and IL-1β had an increased risk of LSCC progression ( p < 0.05). The Kaplan–Meier log rank test (OS and DFS) demonstrated that high expression of NLRP3/IL-18/IL-1β/ASC was statistically different than the low expression group ( p < 0.05) of LSCC patients after surgery. Conclusion: The high expression group of the NLRP3 inflammasome (NLRP3/IL-18/IL-1β/ASC) had a poorer prognosis (OS and DFS) than the low expression group of LSCC patients 5 years after surgery. The NLRP3 inflammasome (NLRP3/IL-18/IL-1β/ASC) may be used as an auxiliary indicator to predict LSCC patient prognosis after surgery.

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Prognostic role of resection margin in open oncologic laryngeal surgery: survival analysis of a cohort of 139 patients affected by squamous cell carcinoma

Cited by 13 publications

References 25 publications

A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma

A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma

A genomic-clinicopathologic nomogram predict survival for patients with laryngeal squamous cell carcinoma

Correlation Between the NLRP3 Inflammasome and the Prognosis of Patients With LSCC

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