Prognostic validation of a new classification system for extent of resection in glioblastoma: A report of the RANO <i>resect</i> group

Philipp Karschnia(Deutschen Konsortium für Translationale Krebsforschung), Jacob S. Young(University of San Francisco), Antonio Dono(The University of Texas Health Science Center at Houston), Levin Häni(University of Freiburg), Tommaso Sciortino(University of Milan), Francesco Bruno(University of Turin), Stephanie T Juenger(University of Cologne), Nico Teske(Ludwig-Maximilians-Universität München), Ramin A. Morshed(University of San Francisco), Alexander F. Haddad(University of San Francisco), Yalan Zhang(University of San Francisco), Sophia Stoecklein(LMU Klinikum), Michael Weller(University of Zurich), Michael A. Vogelbaum(Moffitt Cancer Center), Jürgen Beck(University of Freiburg), Nitin Tandon(The University of Texas Health Science Center at Houston), Shawn L. Hervey‐Jumper(University of San Francisco), Annette M. Molinaro(University of San Francisco), Roberta Rudà(Ospedale Castelfranco Veneto), Lorenzo Bello(University of Milan), Oliver Schnell(University of Freiburg), Yoshua Esquenazi(The University of Texas Health Science Center at Houston), Maximilian I. Ruge(University Hospital Cologne), Stefan Grau(University of Cologne), Mitchel S. Berger(University of San Francisco), Susan M. Chang(University of San Francisco), Martin J. van den Bent(Erasmus MC Cancer Institute), Joerg‐Christian Tonn(Deutschen Konsortium für Translationale Krebsforschung)
Neuro-Oncology
August 12, 2022
Cited by 336Open Access
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Abstract

BACKGROUND: Terminology to describe extent of resection in glioblastoma is inconsistent across clinical trials. A surgical classification system was previously proposed based upon residual contrast-enhancing (CE) tumor. We aimed to (1) explore the prognostic utility of the classification system and (2) define how much removed non-CE tumor translates into a survival benefit. METHODS: The international RANO resect group retrospectively searched previously compiled databases from 7 neuro-oncological centers in the USA and Europe for patients with newly diagnosed glioblastoma per WHO 2021 classification. Clinical and volumetric information from pre- and postoperative MRI were collected. RESULTS: We collected 1,008 patients with newly diagnosed IDHwt glioblastoma. 744 IDHwt glioblastomas were treated with radiochemotherapy per EORTC-26981/22981 (TMZ/RT→TMZ) following surgery. Among these homogenously treated patients, lower absolute residual tumor volumes (in cm3) were favorably associated with outcome: patients with "maximal CE resection" (class 2) had superior outcome compared to patients with "submaximal CE resection" (class 3) or "biopsy" (class 4). Extensive resection of non-CE tumor (≤5 cm3 residual non-CE tumor) was associated with better survival among patients with complete CE resection, thus defining class 1 ("supramaximal CE resection"). The prognostic value of the resection classes was retained on multivariate analysis when adjusting for molecular and clinical markers. CONCLUSIONS: The proposed "RANO categories for extent of resection in glioblastoma" are highly prognostic and may serve for stratification within clinical trials. Removal of non-CE tumor beyond the CE tumor borders may translate into additional survival benefit, providing a rationale to explicitly denominate such "supramaximal CE resection."


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