scholarly journals Correlation of TTFields Dose Density and Survival Outcomes in Newly Diagnosed Glioblastoma: A Numerical Simulation-Based Analysis of Patient Data from the EF-14 Randomized Trial.

Author(s):  
M.T. Ballo ◽  
Z. Bomzon ◽  
N. Urman ◽  
G. Lavy-Shahaf ◽  
S.A. Toms
2020 ◽  
Author(s):  
Shengyu Fang ◽  
Xing Fan ◽  
Yinyan Wang ◽  
Tao Jiang

Abstract Background Using isocitrate dehydrogenase (IDH) mutations to classify survival outcomes of patients with glioblastoma multiforme was recommended based on novel histopathological classification of brain tumors. Considering this novel classification, it is unclear whether the extent of tumor resection (EOR) is still important. The aim of this study was to investigate prognostic value of clinical factors (age, sex, EOR, status of IDH mutations, and adjuvant therapy) in patients with newly diagnosed glioblastoma. Methods In total, 269 patients were retrospectively enrolled and randomly divided into training (n = 179) and validation (n = 90) cohorts. Clinical information and survival outcomes were acquired from inpatient records and follow-ups. After adjusting for risk coefficients, the independent prognostic factors were selected in a multivariable analysis to generate a model to evaluate survival outcomes. Additionally, a receiver operating characteristic curve was used to assess accuracy for predicting survival outcomes at 12, 15, 18, and 24 months. Results Total resection of the contrast-enhanced region, age ≤ 60 years, received chemotherapy, and IDH mutations were favorable independent factors for overall survival. Area under the curve (AUC) for prediction of survival in the training cohort was 0.815, 0.851, 0.849, and 0.836 at 12, 15, 18, and 24 months, respectively. In the validation cohort, the AUC for prediction of survival was 0.780, 0.807, 0.836, and 0.849 at 12, 15, 18, and 24 months, respectively. Conclusion Total resection of the contrast-enhanced region is still crucial and recommended for patients with glioblastoma. Our prognostic model was able to predict survival outcomes, especially for long-term survival prediction.


2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi253-vi254
Author(s):  
Alireza Mohammadi ◽  
Mayur Sharma ◽  
Thomas Beaumont ◽  
Kevin Juarez ◽  
Hanna Kemeny ◽  
...  

Oncotarget ◽  
2016 ◽  
Vol 8 (4) ◽  
pp. 7003-7013 ◽  
Author(s):  
Doo-Sik Kong ◽  
Do-Hyun Nam ◽  
Shin-Hyuk Kang ◽  
Jae Won Lee ◽  
Jong-Hee Chang ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 153473542199123
Author(s):  
Jun-Yong Cha ◽  
Jae-Sung Park ◽  
Yong-Kil Hong ◽  
Sin-Soo Jeun ◽  
Stephen Ahn

Introduction: The impact of obesity on survival outcomes in patients with glioblastoma (GBM) has not been well reported and the results for patients are currently unclear. We investigated the effect of obesity on survival outcomes in patients with newly diagnosed GBM. Methods: Using electronic medical records, all GBM patients that visited the Seoul St. Mary’s Hospital between 2008 and 2018 were reviewed. A total of 177 patients met our eligibility criteria. The cut-off point for BMI was 23.0 kg/m2 based on previous studies which focused on Asian populations. Results: A total of 177 patients met our eligibility criteria. The overall median BMI of patients was 24.5 kg/m2 (range 15.82-39.26). About 62 patients who had a BMI less than the cut-off value were assigned to the “lower BMI” group, while 115 patients who had a BMI greater than the cut-off value were assigned to the “higher BMI” group. In Kaplan-Meier survival analysis, the median OS of the higher BMI group was longer than that of the lower BMI group (21.3 months vs 15.3 months, P = .002). In multivariate Cox regression analysis for OS, lower BMI was associated with inferior OS (HR 1.48 CI 1.06-2.08, P = .002). Conclusion: Our findings suggest that elevated BMI may be associated with better survival in patients with newly diagnosed GBM. Additional larger prospective studies could help validate our findings to confirm the effect of body composition and survival outcomes in GBM patients.


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