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Re‐irradiation of recurrent gliomas: pooled analysis and validation of an established prognostic score—report of the Radiation Oncology Group ( ROG ) of the German Cancer Consortium ( DKTK )
Author(s) -
Combs Stephanie E.,
Niyazi Maximilian,
Adeberg Sebastian,
Bougatf Nina,
Kaul David,
Fleischmann Daniel F.,
Gruen Arne,
Fokas Emmanouil,
Rödel Claus M.,
Eckert Franziska,
Paulsen Frank,
Oehlke Oliver,
Grosu AncaLigia,
Seidlitz Annekatrin,
Lattermann Annika,
Krause Mechthild,
Baumann Michael,
Guberina Maja,
Stuschke Martin,
Budach Volker,
Belka Claus,
Debus Jürgen,
Kessel Kerstin A.
Publication year - 2018
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.1425
Subject(s) - medicine , glioma , oncology , radiation therapy , cohort , overall survival , primary tumor , cancer , metastasis , cancer research
The heterogeneity of high‐grade glioma recurrences remains an ongoing challenge for the interdisciplinary neurooncology team. Response to re‐irradiation (re‐ RT ) is heterogeneous, and survival data depend on prognostic factors such as tumor volume, primary histology, age, the possibility of reresection, or time between primary diagnosis and initial RT and re‐ RT . In the present pooled analysis, we gathered data from radiooncology centers of the DKTK Consortium and used it to validate the established prognostic score by Combs et al. and its modification by Kessel et al. Data consisted of a large independent, multicenter cohort of 565 high‐grade glioma patients treated with re‐ RT from 1997 to 2016 and a median dose of 36 Gy. Primary RT was between 1986 and 2015 with a median dose of 60 Gy. Median age was 54 years; median follow‐up was 7.1 months. Median OS after re‐ RT was 7.5, 9.5, and 13.8 months for WHO IV , III , and I/ II gliomas, respectively. All six prognostic factors were tested for their significance on OS . Aside from the time from primary RT to re‐ RT ( P  = 0.074) and the reresection status ( P  = 0.101), all factors (primary histology, age, KPS , and tumor volume) were significant. Both the original and new score showed a highly significant influence on survival with P  < 0.001. Both prognostic scores successfully predict survival after re‐ RT and can easily be applied in the routine clinical workflow. Now, further prognostic features need to be found to even improve treatment decisions regarding neurooncological interventions for recurrent glioma patients.

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