Novel, improved grading system(s) for IDH-mutant astrocytic gliomas
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According to the 2016 World Health Organization Classification of Tumors of the Central Nervous System (2016 CNS WHO), IDH-mutant astrocytic gliomas comprised WHO grade II diffuse astrocytoma, IDH-mutant (AIIIDHmut), WHO grade III anaplastic astrocytoma, IDH-mutant (AAIIIIDHmut), and WHO grade IV glioblastoma, IDH-mutant (GBMIDHmut). Notably, IDH gene status has been made the major criterion for classification while the manner of grading has remained unchanged: it is based on histological criteria that arose from studies which antedated knowledge of the importance of IDH status in diffuse astrocytic tumor prognostic assessment. Several studies have now demonstrated that the anticipated differences in survival between the newly defined AIIIDHmut and AAIIIIDHmut have lost their significance. In contrast, GBMIDHmut still exhibits a significantly worse outcome than its lower grade IDH-mutant counterparts. To address the problem of establishing prognostically significant grading for IDH-mutant astrocytic gliomas in the IDH era, we undertook a comprehensive study that included assessment of histological and genetic approaches to prognosis in these tumors. A discovery cohort of 211 IDH-mutant astrocytic gliomas with an extended observation was subjected to histological review, image analysis, and DNA methylation studies. Tumor group-specific methylation profiles and copy number variation (CNV) profiles were established for all gliomas. Algorithms for automated CNV analysis were developed. All tumors exhibiting 1p/19q codeletion were excluded from the series. We developed algorithms for grading, based on molecular, morphological and clinical data. Performance of these algorithms was compared with that of WHO grading. Three independent cohorts of 108, 154 and 224 IDH-mutant astrocytic gliomas were used to validate this approach. In the discovery cohort several molecular and clinical parameters were of prognostic relevance. Most relevant for overall survival (OS) was CDKN2A/B homozygous deletion. Other parameters with major influence were necrosis and the total number of CNV. Proliferation as assessed by mitotic count, which is a key parameter in 2016 CNS WHO grading, was of only minor influence. Employing the parameters most relevant for OS in our discovery set, we developed two models for grading these tumors. These models performed significantly better than WHO grading in both the discovery and the validation sets. Our novel algorithms for grading IDH-mutant astrocytic gliomas overcome the challenges caused by introduction of IDH status into the WHO classification of diffuse astrocytic tumors. We propose that these revised approaches be used for grading of these tumors and incorporated into future WHO criteria.
KeywordsAstrocytoma Glioblastoma IDH Grading CDKN2A/B
This work was supported by German Cancer Aid (70112371) to AvD and German Cancer Aid (110624) to WW and MW. We are indebted to Toshio Sasajima, Masaya Oda and Masataka Takahashi for support regarding clinical data acquisition. We thank Viktoria Zeller, Ulrike Lass, Antje Habel, Ulrike Vogel, Katja Brast, Kerstin Lindenberg, John Moyers and Jochen Meyer for excellent technical assistance. We also thank the Microarray unit of the Genomics and Proteomics Core Facility, German Cancer Research Center (DKFZ), especially Matthias Schick, Roger Fischer, Nadja Wermke and Anja Schramm-Glück, for providing methylation services.
- 1.Aoki K, Nakamura H, Suzuki H et al (2018) Prognostic relevance of genetic alterations in diffuse lower-grade gliomas. Neurooncology 20:66–77Google Scholar
- 13.Louis D, Ohgaki H, Wiestler O, Cavenee W (2007) World Health Organization classification of tumours of the central nervous system. In: Bosman F, Jaffe E, Lakhani S, Ohgaki H (eds) World Health Organization classification of tumours, 4th edn. IARC, LyonGoogle Scholar
- 14.Louis D, Ohgaki H, Wiestler O, Cavenee WK (2016) World Health Organization classification of tumours of the central nervous system. In: Bosman F, Jaffe E, Lakhani S, Ohgaki H (eds) World Health Organization classification of tumours revised, 4th edn. IARC, LyonGoogle Scholar
- 24.Pfaff E, Kessler T, Balasubramanian GP et al (2017) Feasibility of real-time molecular profiling for patients with newly diagnosed glioblastoma without MGMT promoter-hypermethylation—the NCT Neuro Master Match (N2M2) pilot study. Neuro Oncol. https://doi.org/10.1093/neuonc/nox216 CrossRefGoogle Scholar
- 31.Sommer C, Strähle C, Köthe U, Hamprecht FA (2011) Ilastik: interactive learning and segmentation toolkit. In: Eighth IEEE international symposium on biomedical imaging (ISBI). IEEE, Chicago, pp 230–233Google Scholar
- 35.Watanabe T, Nobusawa S, Kleihues P, Ohgaki H (2009) IDH1 mutations are early events in the development of astrocytomas and oligodendrogliomas. Am J Pathol 174:653–656Google Scholar
- 38.Zülch KJ (1979) Histological typing of tumours of the central nervous system. Who’s Who, LondonGoogle Scholar