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Comparative analysis of molecular and histological glioblastomas: insights into prognostic variance.
Lee, Myunghwan; Karschnia, Philipp; Park, Yae Won; Choi, Kaeum; Han, Kyunghwa; Choi, Seo Hee; Yoon, Hong In; Shin, Na-Young; Ahn, Sung Soo; Tonn, Joerg-Christian; Chang, Jong Hee; Kim, Se Hoon; Lee, Seung-Koo.
Afiliação
  • Lee M; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Karschnia P; Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.
  • Park YW; Department German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
  • Choi K; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea. yaewonpark@yuhs.ac.
  • Han K; Department of Statistics and Data Science, Yonsei University, Seoul, Korea.
  • Choi SH; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Yoon HI; Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea.
  • Shin NY; Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea.
  • Ahn SS; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Tonn JC; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Chang JH; Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.
  • Kim SH; Department German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
  • Lee SK; Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
J Neurooncol ; 2024 Aug 08.
Article em En | MEDLINE | ID: mdl-39115615
ABSTRACT

PURPOSE:

Whether molecular glioblastomas (GBMs) identify with a similar dismal prognosis as a "classical" histological GBM is controversial. This study aimed to compare the clinical, molecular, imaging, surgical factors, and prognosis between molecular GBMs and histological GBMs.

METHODS:

Retrospective chart and imaging review was performed in 983 IDH-wildtype GBM patients (52 molecular GBMs and 931 histological GBMs) from a single institution between 2005 and 2023. Propensity score-matched analysis was additionally performed to adjust for differences in baseline variables between molecular GBMs and histological GBMs.

RESULTS:

Molecular GBM patients were substantially younger (58.1 vs. 62.4, P = 0.014) with higher rate of TERTp mutation (84.6% vs. 50.3%, P < 0.001) compared with histological GBM patients. Imaging showed higher incidence of gliomatosis cerebri pattern (32.7% vs. 9.2%, P < 0.001) in molecular GBM compared with histological GBM, which resulted in lesser extent of resection (P < 0.001) in these patients. The survival was significantly better in molecular GBM compared to histological GBM (median OS 30.2 vs. 18.4 months, P = 0.001). The superior outcome was confirmed in propensity score analyses by matching histological GBM to molecular GBM (P < 0.001).

CONCLUSION:

There are distinct clinical, molecular, and imaging differences between molecular GBMs and histological GBMs. Our results suggest that molecular GBMs have a more favorable prognosis than histological GBMs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article