The Cancer Genome Atlas (TCGA) project has generated gene expression data that divides
glioblastoma (GBM) into four transcriptional classes: proneural, neural, classical, and …

A better understanding of transcriptional evolution of IDH-wild-type glioblastoma may be
crucial for treatment optimization. Here, we perform RNA sequencing (RNA-seq)(n= 322 test …

Glioblastoma multiforme (GBM) is the most common form of malignant glioma, characterized
by genetic instability, intratumoral histopathological variability, and unpredictable clinical …

Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor's
molecular and cellular landscapes are complex, and their relationships to histologic features …

Technological advances in computing, imaging, and genomics have created new
opportunities for exploring relationships between histology, molecular events, and clinical …

In recent years, important advances have been achieved in the understanding of the
molecular biology of glioblastoma multiforme (GBM); thus, complex genetic alterations and …

Glioblastoma is the most common intracranial malignancy and constitutes about 50% of all
gliomas. Both inter-tumor and intra-tumor histological heterogeneity had been recognized by …

The histopathological and molecular heterogeneity of glioblastomas represents a major
obstacle for effective therapies. Glioblastomas do not develop autonomously, but evolve in a …

The factors driving therapy resistance in diffuse glioma remain poorly understood. To identify
treatment-associated cellular and genetic changes, we analyzed RNA and/or DNA …

Abstract Background The Cancer Genome Atlas (TCGA) project is a large-scale effort with
the goal of identifying novel molecular aberrations in glioblastoma (GBM). Methods Here, we …