Impact of extent of surgical resection on survival in World Health Organization grade 4 gliomas: A molecular

Ziming Hou1,2, Wenhao Zhang3, Zeya Yan4

  • 1Department of Neurosurgery, Beijing Luhe Hospital, Capital Medical University, Beijing, China (Z.H., H.W.).

Neuro-Oncology Advances
|January 22, 2026
PubMed
Abstract

Insights

Surgical extent impacts glioma survival, but benefits differ by molecular subtype and clinical factors. Personalized surgical planning is crucial for optimizing outcomes in World Health Organization grade 4 gliomas.

Area of Science:

  • Neuro-oncology
  • Surgical oncology
  • Molecular pathology

Background:

  • Surgical resection extent correlates with survival in glioma patients.
  • The combined influence of surgical extent and molecular pathology on prognosis is not fully understood.
  • This study investigates molecular and clinical factors affecting surgical outcomes in World Health Organization (WHO) grade 4 gliomas.

Purpose of the Study:

  • To evaluate how molecular pathology and clinical features influence surgical outcomes in patients with WHO grade 4 gliomas.
  • To determine the differential impact of surgical resection extent on survival based on glioma molecular subtypes.
  • To inform surgical planning for WHO grade 4 gliomas by considering individual patient characteristics.

Main Methods:

  • Analysis of data from 501 patients with WHO grade 4 gliomas who underwent surgery (Chinese Glioma Genome Atlas database, 2005-2019).
  • Stratification of resection extent's effect on overall survival by molecular pathology and clinical characteristics.
  • Kaplan-Meier method, log-rank test, and univariate/multivariate analyses to assess survival differences and identify prognostic factors.

Main Results:

  • Resection extent significantly affected survival, with variations across molecular subtypes.
  • Gross total resection (GTR) did not significantly improve survival over subtotal resection (STR) in IDH-mutant astrocytomas.
  • In glioblastoma, GTR offered survival benefits for most patients, except those with non-methylated MGMT promoters and Karnofsky Performance Status ≤80.

Conclusions:

  • Survival benefits of extensive resection in WHO grade 4 glioma are patient-specific.
  • Molecular pathology and clinical features are critical for personalized surgical planning.
  • A tailored surgical approach, balancing conservative and aggressive strategies, can optimize survival and quality of life.

Related Concept Videos

Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
763
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
573
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
591
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
405
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
654
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
933