Prediction of outcomes with a computational biology model in newly diagnosed glioblastoma patients treated with radiation therapy and temozolomide

R Rahman, L Trippa, S Alden, G Fell, T Abbasi… - International Journal of …, 2020 - Elsevier
Purpose Precision medicine has been most successful in targeting single mutations, but
personalized medicine using broader genomic tumor profiles for individual patients is less …

Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model

Y Kim, KH Kim, J Park, HI Yoon, W Sung - Radiotherapy and Oncology, 2023 - Elsevier
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …

[HTML][HTML] Nomograms for predicting progression-free survival and overall survival after surgery and concurrent chemoradiotherapy for glioblastoma: a retrospective …

L Zheng, ZR Zhou, M Shi, H Chen, QQ Yu… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Glioblastoma (GBM) is the most common malignant brain tumor in adults. The
prognosis of GBM patients is poor. Even with active standard treatment, the median overall …

Validation and optimization of a web-based nomogram for predicting survival of patients with newly diagnosed glioblastoma

K Nalee, JS Chang, WC Woo, KI Ah… - Strahlentherapie …, 2020 - search.proquest.com
Purpose To optimize and validate a current (NRG [a newly constituted National Clinical
Trials Network group through National Surgical Adjuvant Breast and Bowel Project [NSABP] …

[HTML][HTML] Combination chemotherapy versus temozolomide for patients with methylated MGMT (m-MGMT) glioblastoma: results of computational biological modeling to …

M Castro, A Pampana, A Alam, R Parashar… - Journal of Neuro …, 2021 - Springer
Background A randomized trial in glioblastoma patients with methylated-MGMT (m-MGMT)
found an improvement in median survival of 16.7 months for combination therapy with …

Molecular-based recursive partitioning analysis model for glioblastoma in the temozolomide era: a correlative analysis based on NRG oncology RTOG 0525

EH Bell, SL Pugh, JP McElroy, MR Gilbert… - JAMA …, 2017 - jamanetwork.com
Importance There is a need for a more refined, molecularly based classification model for
glioblastoma (GBM) in the temozolomide era. Objective To refine the existing clinically …

A comparative analysis of the usefulness of survival prediction models for patients with glioblastoma in the temozolomide era: the importance of methylguanine …

P Woo, J Ho, S Lam, E Ma, D Chan, WK Wong… - World Neurosurgery, 2018 - Elsevier
Objective Several survival prediction models for patients with glioblastoma have been
proposed, but none is widely used. This study aims to identify the predictors of overall …

[HTML][HTML] Optimizing adjuvant treatment options for patients with glioblastoma

E Zhu, J Wang, W Shi, Q Jing, P Ai, D Shan… - Frontiers in …, 2024 - frontiersin.org
Background This study focused on minimizing the costs and toxic effects associated with
unnecessary chemotherapy. We sought to optimize the adjuvant therapy strategy, choosing …

Distinct phenotypic clusters of glioblastoma growth and response kinetics predict survival

CA Rayfield, F Grady, G De Leon, R Rockne… - JCO clinical cancer …, 2018 - ascopubs.org
Purpose Despite the intra-and intertumoral heterogeneity seen in glioblastoma multiforme
(GBM), there is little definitive data on the underlying cause of the differences in patient …

[HTML][HTML] A prognostic model for glioblastoma patients treated with standard therapy based on a prospective cohort of consecutive non-selected patients from a single …

AA Abedi, K Grunnet, IJ Christensen… - Frontiers in …, 2021 - frontiersin.org
Background Glioblastoma patients administered standard therapies, comprising maximal
surgical resection, radiation therapy with concomitant and adjuvant temozolomide, have a …