Literature DB >> 34648051

Nomograms predicting prognosis for locally advanced hypopharyngeal squamous cell carcinoma.

Huiyun Yang1, Mengsi Zeng2, Sudan Cao3, Long Jin4.   

Abstract

PURPOSE: This study aimed to construct nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) for patients with locally advanced hypopharyngeal squamous cell carcinoma (HSCC).
METHODS: 864 patients with locally advanced HSCC during 2010-2015 from the surveillance, epidemiology and end results (SEER) database were selected. After classifying continuous data by risk, Cox regression analyses were applied to detect significant independent prognostic factors, with which nomograms were established. To evaluate the value of nomograms, concordance index (C-index), area under the receiver-operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA), Kaplan-Meier analysis was adopted. The efficacy of surgery in different risk groups was also studied to figure out people who can benefit from surgery.
RESULTS: A total of 864 locally advanced HSCC patients were randomized into the training cohort (n = 608) and the validation cohort (n = 256). Age, race, tumor size, T stage, N stage, primary site, radiotherapy, and chemotherapy were independent prognostic factors for OS and CSS (except race) and formed the nomograms. The nomograms revealed satisfied performance in C-index, AUC, DCA, and calibration curves, and prevailed over American Joint Committee on Cancer (AJCC) TNM staging system in predicting OS and CSS. After risk stratification, patients of low-risk group resulted in the best outcomes. Patients in moderate-risk may benefit from surgery.
CONCLUSIONS: Convenient and well-calibrated nomograms to predict OS and CSS for III/IVA/IVB-stage HSCC patients were set up and assessed and may do a favor to make clinical decisions.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Hypopharyngeal cancer; Nomogram; Prognosis; SEER database

Mesh:

Year:  2021        PMID: 34648051     DOI: 10.1007/s00405-021-07109-5

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   3.236


  4 in total

1.  A prognostic model that makes quantitative estimates of probability of relapse for breast cancer patients.

Authors:  M De Laurentiis; S De Placido; A R Bianco; G M Clark; P M Ravdin
Journal:  Clin Cancer Res       Date:  1999-12       Impact factor: 12.531

Review 2.  Natural History of Treated and Untreated Hypopharyngeal Cancer.

Authors:  Hans E Eckel; Patrick J Bradley
Journal:  Adv Otorhinolaryngol       Date:  2019-02-12

3.  Non-transplantable Recurrence After Resection for Transplantable Hepatocellular Carcinoma: Implication for Upfront Treatment Choice.

Authors:  Xu-Feng Zhang; Feng Xue; Fabio Bagante; Francesca Ratti; Hugo P Marques; Silvia Silva; Olivier Soubrane; Vincent Lam; George A Poultsides; Irinel Popescu; Razvan Grigorie; Sorin Alexandrescu; Guillaume Martel; Aklile Workneh; Alfredo Guglielmi; Tom Hugh; Luca Aldrighetti; Yi Lv; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2021-11-19       Impact factor: 3.452

4.  Dynamic prediction of cancer-specific survival for primary hypopharyngeal squamous cell carcinoma.

Authors:  Zhongyang Lin; Hanqing Lin; Chang Lin
Journal:  Int J Clin Oncol       Date:  2020-04-07       Impact factor: 3.402

  4 in total

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