Clinical trials for personalized glioblastoma radiotherapy: Markers for efficacy and late toxicity but often delayed treatment–Does that matter?

A Lattermann, M Baumann… - Radiotherapy and …, 2016 - thegreenjournal.com
Glioblastoma (GBM) is the most common primary brain tumor in adults and shows a very
malignant behavior. Current standard therapy includes radical tumor extirpation followed by …

Xenograft-based, platform-independent gene signatures to predict response to alkylating chemotherapy, radiation, and combination therapy for glioblastoma

SG Zhao, M Yu, DE Spratt, SL Chang, FY Feng… - Neuro …, 2019 - academic.oup.com
Background Predictive molecular biomarkers to select optimal treatment for patients with
glioblastoma and other cancers are lacking. New strategies are needed when large …

[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 …

[HTML][HTML] Clinical variables serve as prognostic factors in a model for survival from glioblastoma multiforme: an observational study of a cohort of consecutive non …

SR Michaelsen, IJ Christensen, K Grunnet… - BMC cancer, 2013 - Springer
Background Although implementation of temozolomide (TMZ) as a part of primary therapy
for glioblastoma multiforme (GBM) has resulted in improved patient survival, the disease is …

Treatment of unresectable glioblastoma multiforme

C Nieder, AL Grosu, S Astner, M Molls - Anticancer research, 2005 - ar.iiarjournals.org
Uncertainty exists about the adequate treatment of adult patients with unresectable, primary,
biopsy-proven glioblastoma multiforme (GBM), because the different options for this group of …

Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma

M Patel, J Zhan, K Natarajan, R Flintham, N Davies… - Clinical radiology, 2021 - Elsevier
AIM To investigate machine learning based models combining clinical, radiomic, and
molecular information to distinguish between early true progression (tPD) and …

[HTML][HTML] Optimal combinations of chemotherapy and radiotherapy in low-grade gliomas: a mathematical approach

LE Ayala-Hernández, A Gallegos, P Schucht… - Journal of personalized …, 2021 - mdpi.com
Low-grade gliomas (LGGs) are brain tumors characterized by their slow growth and
infiltrative nature. Treatment options for these tumors are surgery, radiation therapy and …

Study of radiochemotherapy decision-making for young high-risk low-grade glioma patients using a macroscopic and microscopic combined radiomics model

G Wu, Z Shi, Z Li, X Xie, Q Tang, J Zhu, Z Yang… - European …, 2024 - Springer
Objectives As a few types of glioma, young high-risk low-grade gliomas (HRLGGs) have
higher requirements for postoperative quality of life. Although adjuvant chemotherapy with …

[HTML][HTML] Radiotherapy and temozolomide for newly diagnosed glioblastoma and anaplastic astrocytoma: validation of Radiation Therapy Oncology Group-Recursive …

AJ Paravati, DE Heron, D Landsittel… - Journal of neuro …, 2011 - Springer
Since the development of the Radiation Therapy Oncology Group-Recursive Partitioning
Analysis (RTOG-RPA) risk classes for high-grade glioma, radiation therapy in combination …

[HTML][HTML] Survival benefit of glioblastoma patients after FDA approval of temozolomide concomitant with radiation and bevacizumab: A population-based study

P Zhu, XL Du, G Lu, JJ Zhu - Oncotarget, 2017 - ncbi.nlm.nih.gov
Few population-based analyses have investigated survival change in glioblastoma
multiforme (GBM) patients treated with concomitant radiotherapy-temozolomide (RT-TMZ) …