Radical surgical resection with molecular margins is associated with improved survival in IDH wild-type glioblastoma

Abstract Background Survival is variable in patients with glioblastoma IDH wild-type (GBM), even after comparable surgical resection of radiographically detectable disease, highlighting the limitations of radiographic assessment of infiltrative tumor anatomy. The majority of postsurgical progressive...

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Veröffentlicht in:Neuro-oncology (Charlottesville, Va.) Va.), 2024-09, Vol.26 (9), p.1660-1669
Hauptverfasser: Massaad, Elie, Smith, William J, Bradley, Joseph, Esposito, Eric, Gupta, Mihir, Burns, Evan, Burns, Ryan, Velarde, José K, Berglar, Inka K, Gupta, Rajiv, Martinez-Lage, Maria, Dietrich, Jorg, Lennerz, Jochen K, Dunn, Gavin P, Jones, Pamela S, Choi, Bryan D, Kim, Albert E, Frosch, Matthew, Barker, Fred G, Curry, William T, Carter, Bob S, Nahed, Brian V, Cahill, Daniel P, Shankar, Ganesh M
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Sprache:eng
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Zusammenfassung:Abstract Background Survival is variable in patients with glioblastoma IDH wild-type (GBM), even after comparable surgical resection of radiographically detectable disease, highlighting the limitations of radiographic assessment of infiltrative tumor anatomy. The majority of postsurgical progressive events are failures within 2 cm of the resection margin, motivating supramaximal resection strategies to improve local control. However, which patients benefit from such radical resections remains unknown. Methods We developed a predictive model to identify which IDH wild-type GBMs are amenable to radiographic gross-total resection (GTR). We then investigated whether GBM survival heterogeneity following GTR is correlated with microscopic tumor burden by analyzing tumor cell content at the surgical margin with a rapid qPCR-based method for detection of TERT promoter mutation. Results Our predictive model for achievable GTR, developed on retrospective radiographic and molecular data of GBM patients undergoing resection, had an area under the curve of 0.83, sensitivity of 62%, and specificity of 90%. Prospective analysis of this model in 44 patients found that 89% of patients were correctly predicted to achieve a residual volume (RV) 
ISSN:1522-8517
1523-5866
1523-5866
DOI:10.1093/neuonc/noae073