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Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma

INTRODUCTION: For about 30 years, researchers developed prognostic scores and searched for prognostic factors to predict outcomes for cancer patients. The “Combs Prognostic Score” for re-irradiation in recurrent glioma was recently validated and results showed that the score is a significant (p <...

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Autores principales: Kessel, Kerstin A., Hesse, Josefine, Straube, Christoph, Zimmer, Claus, Schmidt-Graf, Friederike, Schlegel, Jürgen, Meyer, Bernhard, Combs, Stephanie E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498044/
https://www.ncbi.nlm.nih.gov/pubmed/28678889
http://dx.doi.org/10.1371/journal.pone.0180457
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author Kessel, Kerstin A.
Hesse, Josefine
Straube, Christoph
Zimmer, Claus
Schmidt-Graf, Friederike
Schlegel, Jürgen
Meyer, Bernhard
Combs, Stephanie E.
author_facet Kessel, Kerstin A.
Hesse, Josefine
Straube, Christoph
Zimmer, Claus
Schmidt-Graf, Friederike
Schlegel, Jürgen
Meyer, Bernhard
Combs, Stephanie E.
author_sort Kessel, Kerstin A.
collection PubMed
description INTRODUCTION: For about 30 years, researchers developed prognostic scores and searched for prognostic factors to predict outcomes for cancer patients. The “Combs Prognostic Score” for re-irradiation in recurrent glioma was recently validated and results showed that the score is a significant (p < .001) and reliable predictor for patients undergoing re-irradiation (re-RT). We sought to enhance the score and generated a novel scoring approach, taking into account the information on resection of recurrent tumors, KPS, and tumor volume. PATIENTS AND METHODS: The prognostic score was generated based on 209 patients treated between 2002 and 2016 for recurrent glioma at the department of radiation oncology at the Klinikum rechts der Isar, Munich. To further enhance the previously validated Combs Prognostic Score, which uses the prognostic factors primary histology, time between primary RT and re-RT, and age, we added KPS, tumor volume (PTV) and re-resection into the scoring scheme. RESULTS: The median follow-up time was 3.5 months. 67.5% were WHO IV gliomas with a median OS after re-RT of 7.9 months, 17.7% were WHO III gliomas with an OS of 11.3 months and 14.8% were WHO I/II gliomas with an OS of 14.7 months. Multivariate analyses confirmed the prognostic factors KPS (p < .001) and showed a tendency to significance for tumor volume (p = .067) and re-resection (p = .064). The new prognostic score demonstrated a high significance (p < .001). CONCLUSION: The “New Combs Prognostics Score” is a significant and useful tool to predict the overall effect of re-RT in patients with recurrence gliomas. This modified score offers an even better way to classify patients in clinical routine and prospective clinical trials investigating re-irradiation.
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spelling pubmed-54980442017-07-25 Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma Kessel, Kerstin A. Hesse, Josefine Straube, Christoph Zimmer, Claus Schmidt-Graf, Friederike Schlegel, Jürgen Meyer, Bernhard Combs, Stephanie E. PLoS One Research Article INTRODUCTION: For about 30 years, researchers developed prognostic scores and searched for prognostic factors to predict outcomes for cancer patients. The “Combs Prognostic Score” for re-irradiation in recurrent glioma was recently validated and results showed that the score is a significant (p < .001) and reliable predictor for patients undergoing re-irradiation (re-RT). We sought to enhance the score and generated a novel scoring approach, taking into account the information on resection of recurrent tumors, KPS, and tumor volume. PATIENTS AND METHODS: The prognostic score was generated based on 209 patients treated between 2002 and 2016 for recurrent glioma at the department of radiation oncology at the Klinikum rechts der Isar, Munich. To further enhance the previously validated Combs Prognostic Score, which uses the prognostic factors primary histology, time between primary RT and re-RT, and age, we added KPS, tumor volume (PTV) and re-resection into the scoring scheme. RESULTS: The median follow-up time was 3.5 months. 67.5% were WHO IV gliomas with a median OS after re-RT of 7.9 months, 17.7% were WHO III gliomas with an OS of 11.3 months and 14.8% were WHO I/II gliomas with an OS of 14.7 months. Multivariate analyses confirmed the prognostic factors KPS (p < .001) and showed a tendency to significance for tumor volume (p = .067) and re-resection (p = .064). The new prognostic score demonstrated a high significance (p < .001). CONCLUSION: The “New Combs Prognostics Score” is a significant and useful tool to predict the overall effect of re-RT in patients with recurrence gliomas. This modified score offers an even better way to classify patients in clinical routine and prospective clinical trials investigating re-irradiation. Public Library of Science 2017-07-05 /pmc/articles/PMC5498044/ /pubmed/28678889 http://dx.doi.org/10.1371/journal.pone.0180457 Text en © 2017 Kessel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kessel, Kerstin A.
Hesse, Josefine
Straube, Christoph
Zimmer, Claus
Schmidt-Graf, Friederike
Schlegel, Jürgen
Meyer, Bernhard
Combs, Stephanie E.
Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title_full Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title_fullStr Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title_full_unstemmed Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title_short Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
title_sort modification and optimization of an established prognostic score after re-irradiation of recurrent glioma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498044/
https://www.ncbi.nlm.nih.gov/pubmed/28678889
http://dx.doi.org/10.1371/journal.pone.0180457
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