Individualized outcome prognostication for patients with laryngeal cancer

Hoban, Connor; Beesley, Lauren J.; Bellile, Emily L.; Sun, Yilun; Spector, Matthew E.; Wolf, Gregory T.; Taylor, Jeremy M. G.; Shuman, Andrew G.

doi:10.1002/cncr.31087

Cited by 14 publications

(25 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…27, 46 In the current study, we found OPSCC calculators to yield higher AUCs and C-indices than did oral cavity and larynx models. This is likely due to the availability and incorporation of HPV, a robust biomarker in the OPSCC calculators.…”

Section: Discussionsupporting

confidence: 48%

Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era

Beesley

Hawkins

Amlani

et al. 2018

Cancer

Self Cite

View full text Add to dashboard Cite

Background: Accurate, individualized prognostication in oropharyngeal squamous cell carcinoma (OPSCC) is vital for patient counseling and treatment decision-making. With the emergence of human papillomavirus (HPV) as an important biomarker in OPSCC, calculators incorporating this variable have been developed. However, it is critical to characterize their accuracy prior to implementation. Methods: Four OPSCC calculators were identified that integrate HPV in their estimation of five-year overall survival. Treatment outcomes for 856 patients with OPSCC evaluated at a single institution from 2003–2016 were analyzed. Predicted survival probabilities were generated for each patient using each calculator. Calculator performance was assessed and compared using Kaplan-Meier plots, receiver operating characteristic (ROC) curves, concordance statistics (C-indices), and calibration plots. Results: Correlation between pairs of calculators varied, with coefficients ranging from 0.63 to 0.90. Only three of six pairs of calculators yielded predictions within 10% of each other for at least 50% of patients. Kaplan-Meier curves of calculator-defined risk groups showed reasonable stratification. Areas under the ROC curve ranged from 0.74 to 0.80, and C-indices from 0.71 to 0.78. Each calculator demonstrated superior discriminatory ability compared to American Joint Committee on Cancer 7th and 8th Editions clinical staging. Among models, the Denmark calculator was best-calibrated to observed outcomes. Conclusions: Existing calculators exhibited reasonable estimation of survival in OPSCC, but there was considerable variability in predictions for individual patients, which limits clinical utility. Given the increasing role of personalized treatment for OPSCC, further work is needed to improve accuracy and precision, possibly through the identification and incorporation of additional biomarkers.

show abstract

Section: Discussionsupporting

confidence: 48%

Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era

Beesley

Hawkins

Amlani

et al. 2018

Cancer

Self Cite

View full text Add to dashboard Cite

show abstract

“…Though the TNM stage works well on the population level, it less effectively prognosticates at an individual level. Several nomograms, visual description of predictive statistical models for personalized patients, have been built to predict the survival probability in patients with laryngocarcinoma [9][10][11][12][13]. But these studies enrolled different patient cohorts (e.g., laryngeal cancer, advanced laryngeal cancer, and distant metastatic laryngeal carcinoma), and treatment modalities (i.e., radiotherapy vs. surgery).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of nomogram to predict risk of survival in patients with laryngeal squamous cell carcinoma

et al. 2020

View full text Add to dashboard Cite

Background: Due to a wide variation of tumor behavior, prediction of survival in laryngeal squamous cell carcinoma (LSCC) patients received curative-intent surgery is an important but formidable challenge. We attempted to establish a nomogram to precisely predict survival probability in LSCC patients. Methods: A total of 369 consecutive LSCC patients underwent curative resection between 2008 and 2012 at Hunan Province Cancer Hospital were included in this study. Subsequently, 369 LSCC patients were assigned to a training set (N=261) and a validation set (N=108) at random. On the basis of multivariable Cox regression analysis results, we developed a nomogram. The predictive accuracy and discriminative ability of the 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. Results: Six independent parameters to predict prognosis were age, pack years, N-stage, lymph node ratio (LNR), anemia and albumin, which were all assembled into the nomogram. The calibration curve verified excellent models’ concordance. The C-index of the nomogram was 0.73 (0.68-0.78), and the area under curve (AUC) of nomogram in predicting overall survival (OS) was 0.766, which were significantly higher than traditional TNM stage. Decision curve analysis further demonstrated that our nomogram had a larger net benefit than the TNM stage. Conclusion: A risk prediction nomogram for patients with LSCC, incorporating easily assessable clinicopathologic factors, generates more precise estimations of the survival probability when compared TNM stage alone, but still need additional data before being used in clinical application.

show abstract

“…Though the TNM stage works well on the population level, it less effectively prognosticates at an individual level. Several nomograms, are visual description of predictive statistical models for personalized patients, have been built to predict the survival probability in patients with laryngocarcinoma [9][10][11][12][13]. But these studies enrolled different patient cohorts (eg, laryngeal cancer, advanced laryngeal cancer, and distant metastatic laryngeal carcinoma), and treatment modalities (ie, radiotherapy vs surgery).…”

Section: Introductionmentioning

confidence: 99%

“…But these studies enrolled different patient cohorts (eg, laryngeal cancer, advanced laryngeal cancer, and distant metastatic laryngeal carcinoma), and treatment modalities (ie, radiotherapy vs surgery). Moreover, all these prediction models were created based on the population of western countries [9][10][11][12][13]. Due to difference in environmental exposures, ethnical diversity [14], adjuvant treatment after operation and treatment modalities, the clinical features of LSCC in eastern countries are also different from western countries.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of nomogram to predict risk of survival in patients with laryngeal squamous cell carcinoma

Cui

Wang

Zhong

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Due to a wide variation of tumor behavior, prediction of survival in laryngeal squamous cell carcinoma (LSCC) patients received curative-intend surgery is an important but formidable challenge. We attempted to establish a nomogram to precisely predict survival probability in LSCC patients. Methods: A total of 369 consecutive LSCC patients underwent curative resection between 2008 and 2012 at Hunan Province Cancer Hospital were included in this study. Subsequently, 369 LSCC patients were assigned to a training set (N=261) and a validation set (N=108) at random. On the basis of multivariable Cox regression analysis results, we developed a nomogram. The predictive accuracy and discriminative ability of the 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 estimate clinical usefulness of our nomogram. Results: Six independent parameters to predict prognosis were age, pack years, N-stage, lymph node ratio (LNR), anemia and albumin, which were all assembled into the nomogram. The calibration curve verified excellent models’ concordance. The C-index of the nomogram was 0.73 (0.68-0.78), and the area under curve (AUC) of nomogram in predicting overall survival (OS) were 0.766, which were significantly higher than traditional TNM stage. Decision curve analysis further demonstrated that our nomogram had larger net benefit than TNM stage.Conclusion: A risk prediction nomogram for patients with LSCC, incorporating easily assessable clinicopathologic factors, generates more precise estimations of the survival probability when compared TNM stage alone, but still need additional data before being used in clinical application.

show abstract

Individualized outcome prognostication for patients with laryngeal cancer

Cited by 14 publications

References 50 publications

Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era

Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era

Development and validation of nomogram to predict risk of survival in patients with laryngeal squamous cell carcinoma

Development and validation of nomogram to predict risk of survival in patients with laryngeal squamous cell carcinoma

Contact Info

Product

Resources

About