Is the blood–brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data

JN Sarkaria, LS Hu, IF Parney, DH Pafundi… - Neuro …, 2018 - academic.oup.com
The blood–brain barrier (BBB) excludes the vast majority of cancer therapeutics from normal
brain. However, the importance of the BBB in limiting drug delivery and efficacy is …

Nanomedicine for brain cancer

S Quader, K Kataoka, H Cabral - Advanced Drug Delivery Reviews, 2022 - Elsevier
CNS tumors remain among the deadliest forms of cancer, resisting conventional and new
treatment approaches, with mortality rates staying practically unchanged over the past 30 …

Current and future trends on diagnosis and prognosis of glioblastoma: from molecular biology to proteomics

AS Silantyev, L Falzone, M Libra, OI Gurina… - Cells, 2019 - mdpi.com
Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous
system. Due to the absence of effective pharmacological and surgical treatments, the …

Genomic and phenotypic characterization of a broad panel of patient-derived xenografts reflects the diversity of glioblastoma

RA Vaubel, S Tian, D Remonde, MA Schroeder… - Clinical Cancer …, 2020 - AACR
Purpose: Glioblastoma is the most frequent and lethal primary brain tumor. Development of
novel therapies relies on the availability of relevant preclinical models. We have established …

The 2019 mathematical oncology roadmap

RC Rockne, A Hawkins-Daarud, KR Swanson… - Physical …, 2019 - iopscience.iop.org
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …

The biology and mathematical modelling of glioma invasion: a review

JCL Alfonso, K Talkenberger… - Journal of the …, 2017 - royalsocietypublishing.org
Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …

Imaging of intratumoral heterogeneity in high-grade glioma

LS Hu, A Hawkins-Daarud, L Wang, J Li, KR Swanson - Cancer letters, 2020 - Elsevier
Abstract High-grade glioma (HGG), and particularly Glioblastoma (GBM), can exhibit
pronounced intratumoral heterogeneity that confounds clinical diagnosis and management …

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

JH Lagergren, JT Nardini, RE Baker… - PLoS computational …, 2020 - journals.plos.org
Biologically-informed neural networks (BINNs), an extension of physics-informed neural
networks, are introduced and used to discover the underlying dynamics of biological …

Improving cancer treatments via dynamical biophysical models

M Kuznetsov, J Clairambault, V Volpert - Physics of life reviews, 2021 - Elsevier
Despite significant advances in oncological research, cancer nowadays remains one of the
main causes of mortality and morbidity worldwide. New treatment techniques, as a rule …

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang… - Scientific reports, 2019 - nature.com
Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed
using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell …