OS07.6.A Extent of resection in glioblastoma: refinement and prognostic validation of a classification system from the RANOresectgroup. (5th September 2022)
- Record Type:
- Journal Article
- Title:
- OS07.6.A Extent of resection in glioblastoma: refinement and prognostic validation of a classification system from the RANOresectgroup. (5th September 2022)
- Main Title:
- OS07.6.A Extent of resection in glioblastoma: refinement and prognostic validation of a classification system from the RANOresectgroup
- Authors:
- Karschnia, P
Young, J S
Dono, A
Häni, L
Sciortino, T
Bruno, F
Jünger, S T
Teske, N
Weller, M
Rudà, R
Bello, L
Schnell, O
Esquenazi, Y
Grau, S J
Molinaro, A M
Berger, M S
Chang, S M
van den Bent, M
Tonn, J - Abstract:
- Abstract: Background: Extent of resection in glioblastoma is inconsistently described across clinical trials. Based upon the absolute residual contrast-enhancing (CE) tumor (in cm 3 ) and the relative reduction of CE tumor (in percentage) on postoperative MRI, a surgical classification system for glioblastoma was previously proposed. In this context, class 0 was defined as 'supramaximal CE resection' (also including removal of non-CE tumor), class 1 as 'maximal CE resection', class 2 as 'submaximal CE resection', and class 3 as 'biopsy'. We herein aimed to (I) analyze the prognostic value of the proposed classification system, and (II) explore how much non-CE tumor needs to be resected in order to provide a survival benefit. Material and Methods: An international Response Assessment in Neuro-Oncology (RANO) group was formed, entitled RANO resect . The RANO resect investigators retrospectively searched the databases from seven neuro-oncological centers in the USA and Europe for individuals with newly diagnosed glioblastoma. Demographics, clinical information and volumetrics from pre- and postoperative MRI were collected. Kaplan-Meier survival analysis and log-rank test were utilized to calculate survival, and Cox's proportional hazard regression model was used to adjust for multiple variables. The significance level was set at p ≤ 0.05. Results: We identified 1021 individuals with newly diagnosed glioblastoma, including 1008 IDHwt patients. Among those, 744 IDHwt patientsAbstract: Background: Extent of resection in glioblastoma is inconsistently described across clinical trials. Based upon the absolute residual contrast-enhancing (CE) tumor (in cm 3 ) and the relative reduction of CE tumor (in percentage) on postoperative MRI, a surgical classification system for glioblastoma was previously proposed. In this context, class 0 was defined as 'supramaximal CE resection' (also including removal of non-CE tumor), class 1 as 'maximal CE resection', class 2 as 'submaximal CE resection', and class 3 as 'biopsy'. We herein aimed to (I) analyze the prognostic value of the proposed classification system, and (II) explore how much non-CE tumor needs to be resected in order to provide a survival benefit. Material and Methods: An international Response Assessment in Neuro-Oncology (RANO) group was formed, entitled RANO resect . The RANO resect investigators retrospectively searched the databases from seven neuro-oncological centers in the USA and Europe for individuals with newly diagnosed glioblastoma. Demographics, clinical information and volumetrics from pre- and postoperative MRI were collected. Kaplan-Meier survival analysis and log-rank test were utilized to calculate survival, and Cox's proportional hazard regression model was used to adjust for multiple variables. The significance level was set at p ≤ 0.05. Results: We identified 1021 individuals with newly diagnosed glioblastoma, including 1008 IDHwt patients. Among those, 744 IDHwt patients were postoperatively treated with radiochemotherapy per EORTC 26981/22981 (TMZ/RT→TMZ). Within this homogenously treated cohort, higher extent of resection was favorably associated with outcome: individuals with 'maximal CE resection' (class 1) had superior outcome compared to patients with 'submaximal CE resection' (class 2) or 'biopsy' (class 3) (median OS: 20 versus 16 versus 10 months; p = 0.001). Similar findings were made when assessing progression (median PFS: 9 versus 8 versus 5 months; p = 0.001). Extensive resection of non-CE tumor (≥60% of non-CE tumor removed and ≤5 cm 3 residual non-CE tumor) provided an additional survival benefit in patients with complete CE resection (class 1), thus defining class 0 ('supramaximal CE resection') (median OS: 29 versus 20 months; p = 0.003). The favourable prognostic effect of CE resection was retained in a multivariate analysis when stratifying for clinical and molecular characteristics including pre-operative tumor volume and MGMT promotor status ( p = 0.001). Conclusion: The proposed classification system to describe extent of glioblastoma removal is highly prognostic, and thus may serve for stratification of clinical trials. Resection of non-CE tumor beyond the CE tumor borders provides an additional survival benefit in glioblastomas, highlighting the need to explicitly denominate such a 'supramaximal CE resection'. … (more)
- Is Part Of:
- Neuro-oncology. Volume 24(2022)Supplement 2
- Journal:
- Neuro-oncology
- Issue:
- Volume 24(2022)Supplement 2
- Issue Display:
- Volume 24, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 24
- Issue:
- 2
- Issue Sort Value:
- 2022-0024-0002-0000
- Page Start:
- ii17
- Page End:
- ii17
- Publication Date:
- 2022-09-05
- Subjects:
- Brain Neoplasms -- Periodicals
Brain -- Tumors -- Periodicals
Brain -- Cancer -- Periodicals
Nervous system -- Cancer -- Periodicals
616.99481 - Journal URLs:
- http://neuro-oncology.dukejournals.org/ ↗
http://neuro-oncology.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1522-8517 ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/neuonc/noac174.051 ↗
- Languages:
- English
- ISSNs:
- 1522-8517
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.288000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23184.xml