Literature DB >> 21784544

Development and validation of a nomogram for prediction of survival and local control in laryngeal carcinoma patients treated with radiotherapy alone: a cohort study based on 994 patients.

Ada G T M Egelmeer1, E Rios Velazquez, Jos M A de Jong, Cary Oberije, Yasmyne Geussens, Sandra Nuyts, Bernd Kremer, Derek Rietveld, C René Leemans, Monique C de Jong, Coen Rasch, Frank Hoebers, Jarrod Homer, Nick Slevin, Catharine West, Philippe Lambin.   

Abstract

INTRODUCTION: To advise laryngeal carcinoma patients on the most appropriate form of treatment, a tool to predict survival and local control is needed.
MATERIALS AND METHODS: We performed a population-based cohort study on 994 laryngeal carcinoma patients, treated with RT from 1977 until 2008. Two nomograms were developed and validated. Performance of the models is expressed as the Area Under the Curve (AUC).
RESULTS: Unfavorable prognostic factors for overall survival were low hemoglobin level, male sex, high T-status, nodal involvement, older age, lower EQD(2T) (total radiation dose corrected for fraction dose and overall treatment time), and non-glottic tumor. All factors except tumor location were prognostic for local control. The AUCs were 0.73 for overall survival and 0.67 for local control. External validation of the survival model yielded AUCs of 0.68, 0.74, 0.76 and 0.71 for the Leuven (n=109), the VU Amsterdam (n=178), the Manchester (n=403) and the NKI cohort (n=205), respectively, while the validation procedure for the local control model resulted in AUCs of 0.70, 0.71, 0.72 and 0.62. The resulting nomograms were made available on the website www.predictcancer.org.
CONCLUSIONS: For patients with a laryngeal carcinoma treated with RT alone, we have developed visual, easy-to-use nomograms for the prediction of overall survival and primary local control. These models have been successfully validated in four external centers.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21784544     DOI: 10.1016/j.radonc.2011.06.023

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  17 in total

Review 1.  Predicting outcomes in radiation oncology--multifactorial decision support systems.

Authors:  Philippe Lambin; Ruud G P M van Stiphout; Maud H W Starmans; Emmanuel Rios-Velazquez; Georgi Nalbantov; Hugo J W L Aerts; Erik Roelofs; Wouter van Elmpt; Paul C Boutros; Pierluigi Granone; Vincenzo Valentini; Adrian C Begg; Dirk De Ruysscher; Andre Dekker
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

2.  Squamous cell carcinoma of the larynx with subglottic extension: is larynx preservation possible?

Authors:  A Levy; P Blanchard; S Temam; M-M Maison; F Janot; H Mirghani; F Bidault; J Guigay; A Lusinchi; J Bourhis; N Daly-Schveitzer; Y Tao
Journal:  Strahlenther Onkol       Date:  2014-03-04       Impact factor: 3.621

3.  Individualized outcome prognostication for patients with laryngeal cancer.

Authors:  Connor W Hoban; Lauren J Beesley; Emily L Bellile; Yilun Sun; Matthew E Spector; Gregory T Wolf; Jeremy M G Taylor; Andrew G Shuman
Journal:  Cancer       Date:  2017-11-07       Impact factor: 6.860

Review 4.  Protein function in precision medicine: deep understanding with machine learning.

Authors:  Burkhard Rost; Predrag Radivojac; Yana Bromberg
Journal:  FEBS Lett       Date:  2016-08-06       Impact factor: 4.124

5.  International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.

Authors:  Erik Roelofs; André Dekker; Vincenzo Valentini; Philippe Lambin; Elisa Meldolesi; Ruud G P M van Stiphout
Journal:  Radiother Oncol       Date:  2013-12-03       Impact factor: 6.280

6.  Definitive radiation therapy for treatment of laryngeal carcinoma: impact of local relapse on outcome and implications for treatment strategies.

Authors:  F Hoebers; E Rios; E Troost; P van den Ende; K Kross; M Lacko; R Lalisang; B Kremer; J de Jong
Journal:  Strahlenther Onkol       Date:  2013-08-24       Impact factor: 3.621

7.  Risk groups of laryngeal cancer treated with chemoradiation according to nomogram scores - A pooled analysis of RTOG 0129 and 0522.

Authors:  Musaddiq J Awan; Haley Gittleman; Jill Barnholtz-Sloan; Mitchell Machtay; Phuc Felix Nguyen-Tan; David I Rosenthal; Christopher Schultz; Bradley J Huth; Wade L Thorstad; Steven J Frank; Harold Kim; Robert L Foote; Miriam N Lango; George Shenouda; Mohan Suntharalingam; Jonathan Harris; Qiang Zhang; Quynh-Thu Le; Min Yao
Journal:  Oral Oncol       Date:  2021-02-25       Impact factor: 5.337

8.  A novel prognostic score model incorporating CDGSH iron sulfur domain2 (CISD2) predicts risk of disease progression in laryngeal squamous cell carcinoma.

Authors:  Lin Yang; Shaodong Hong; Yan Wang; Zhenyu He; Shaobo Liang; Haiyang Chen; Shasha He; Shu Wu; Libing Song; Yong Chen
Journal:  Oncotarget       Date:  2016-04-19

9.  Implementation of a rapid learning platform: Predicting 2-year survival in laryngeal carcinoma patients in a clinical setting.

Authors:  Tim Lustberg; Michael Bailey; David I Thwaites; Alexis Miller; Martin Carolan; Lois Holloway; Emmanuel Rios Velazquez; Frank Hoebers; Andre Dekker
Journal:  Oncotarget       Date:  2016-06-14

10.  A Novel Inflammation- and Nutrition-Based Prognostic System for Patients with Laryngeal Squamous Cell Carcinoma: Combination of Red Blood Cell Distribution Width and Body Mass Index (COR-BMI).

Authors:  Yan Fu; Yize Mao; Shiqi Chen; Ankui Yang; Quan Zhang
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

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