scholarly journals Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
David A. Hormuth ◽  
Karine A. Al Feghali ◽  
Andrew M. Elliott ◽  
Thomas E. Yankeelov ◽  
Caroline Chung
Keyword(s):  
Mathematical Models ◽  
Computational Models ◽  
Tumor Response ◽  
Treatment Resistance ◽  
High Grade Glioma ◽  
Information Criteria ◽  
Patient Specific ◽  
Model Parameters ◽  
High Grade ◽  
High Grade Gliomas

AbstractHigh-grade gliomas are an aggressive and invasive malignancy which are susceptible to treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation and density and perfusion. Non-invasive imaging approaches can measure these properties, which can then be used to calibrate patient-specific mathematical models of tumor growth and response. We employed multiparametric magnetic resonance imaging (MRI) to identify tumor extent (via contrast-enhanced T1-weighted, and T2-FLAIR) and capture intratumoral heterogeneity in cell density (via diffusion-weighted imaging) to calibrate a family of mathematical models of chemoradiation response in nine patients with unresected or partially resected disease. The calibrated model parameters were used to forecast spatially-mapped individual tumor response at future imaging visits. We then employed the Akaike information criteria to select the most parsimonious member from the family, a novel two-species model describing the enhancing and non-enhancing components of the tumor. Using this model, we achieved low error in predictions of the enhancing volume (median: − 2.5%, interquartile range: 10.0%) and a strong correlation in total cell count (Kendall correlation coefficient 0.79) at 3-months post-treatment. These preliminary results demonstrate the plausibility of using multiparametric MRI data to inform spatially-informative, biologically-based predictive models of tumor response in the setting of clinical high-grade gliomas.

scholarly journals Intermittent radiotherapy as alternative treatment for recurrent high grade glioma: a modeling study based on longitudinal tumor measurements

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah C. Brüningk ◽  
Jeffrey Peacock ◽  
Christopher J. Whelan ◽  
Renee Brady-Nicholls ◽  
Hsiang-Hsuan M. Yu ◽  
...  
Keyword(s):  
Tumor Growth ◽  
Treatment Option ◽  
Radiation Treatment ◽  
Phase 1 ◽  
High Grade Glioma ◽  
Patient Specific ◽  
Tumor Control ◽  
Model Parameters ◽  
High Dose ◽  
High Grade

AbstractRecurrent high grade glioma patients face a poor prognosis for which no curative treatment option currently exists. In contrast to prescribing high dose hypofractionated stereotactic radiotherapy (HFSRT, $$\ge 6$$ ≥ 6 Gy $$\times$$ × 5 in daily fractions) with debulking intent, we suggest a personalized treatment strategy to improve tumor control by delivering high dose intermittent radiation treatment (iRT, $$\ge 6$$ ≥ 6 Gy $$\times$$ × 1 every 6 weeks). We performed a simulation analysis to compare HFSRT, iRT and iRT plus boost ($$\ge 6$$ ≥ 6 Gy $$\times$$ × 3 in daily fractions at time of progression) based on a mathematical model of tumor growth, radiation response and patient-specific evolution of resistance to additional treatments (pembrolizumab and bevacizumab). Model parameters were fitted from tumor growth curves of 16 patients enrolled in the phase 1 NCT02313272 trial that combined HFSRT with bevacizumab and pembrolizumab. Then, iRT +/− boost treatments were simulated and compared to HFSRT based on time to tumor regrowth. The modeling results demonstrated that iRT + boost(− boost) treatment was equal or superior to HFSRT in 15(11) out of 16 cases and that patients that remained responsive to pembrolizumab and bevacizumab would benefit most from iRT. Time to progression could be prolonged through the application of additional, intermittently delivered fractions. iRT hence provides a promising treatment option for recurrent high grade glioma patients for prospective clinical evaluation.

scholarly journals EPCO-26. PROJECT HOPE: “PEDIATRIC AND AYA HIGH-GRADE GLIOMA OMICS PROJECT”- A LONGITUDINAL MOLECULAR LANDSCAPE OF HIGH-GRADE GLIOMAS RESOLVED AT SINGLE-CELL LEVEL

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii74-ii75
Author(s):  
Li Jiang ◽  
Olivia Hack ◽  
Husam Babikir ◽  
Karin Shamardani ◽  
Ilon Liu ◽  
...  
Keyword(s):  
Single Cell ◽  
Evolutionary Dynamics ◽  
Age Groups ◽  
Treatment Resistance ◽  
High Grade Glioma ◽  
Adolescent And Young Adult ◽  
High Grade ◽  
Older Children ◽  
High Grade Gliomas ◽  
Molecular Landscape

Abstract High-grade gliomas (HGG) are among the most prevalent and fatal cancers in pediatric, adolescent, and young adult (AYA) patients. Especially understudied are older children and young adults, aged 16–39 years. Previously, we profiled primary pediatric HGGs through single-cell transcriptomics and identified the genetic, epigenetic and developmental programs that drive their malignant progression. However, the questions of how these programs compare to those in older HGG patients, what the mechanisms are by which these tumors ultimately evolve to drive recurrence and treatment resistance, and how distinct tumor cell subpopulations bidirectionally communicate with their microenvironment remain to be elucidated. In order to investigate these questions, we use single-nucleus RNA sequencing to compare 11 paired, matched high-grade gliomas at diagnosis and recurrence and 15 additional H3K27M primary and recurrent DMG samples in pediatric and AYA patients. In all tumors, we find both undifferentiated and differentiated tumor cells recapitulating distinct glial lineages, as well as diverse microenvironmental cell populations. When longitudinally comparing this tumor architecture within matched pairs, we find substantial differences in transcriptional program expressions. In particular, recurrent samples showed a higher proportion of cells expressing heat- shock proteins (HSPs) and a novel cancer cell program characterized by synaptic formation and neurotransmitter secretory processes, suggesting tumor progression- and treatment-related shifts. Ongoing sequencing and analysis will allow for unprecedented insight into the evolutionary dynamics of pediatric and AYA high-grade gliomas as well as delineate differences in the biology of DMGs occurring in different age groups. This multi-institutional project was funded by the National Institute of Health.

scholarly journals Intermittent radiotherapy as alternative treatment for recurrent high grade glioma: A modelling study based on longitudinal tumor measurements

2021 ◽  
Author(s):  
Sarah C. Brüningk ◽  
Jeffrey Peacock ◽  
Christopher J. Whelan ◽  
Hsiang-Hsuan M. Yu ◽  
Solmaz Sahebjam ◽  
...  
Keyword(s):  
Treatment Option ◽  
Tumour Growth ◽  
Simulation Analysis ◽  
Phase 1 ◽  
High Grade Glioma ◽  
Patient Specific ◽  
Tumor Control ◽  
Model Parameters ◽  
High Dose ◽  
High Grade

ABSTRACTRecurrent high grade glioma patients face a poor prognosis for which no curative treatment option currently exists. In contrast to prescribing high dose hypofractionated stereotactic radiotherapy (HFSRT, ≥ 6 Gyx5 in daily fractions) with debulking intent, we suggest a personalized treatment strategy to improve tumor control by delivering intermittent high dose treatment (iRT, ≥ 6 Gyx1 every six weeks). We performed a simulation analysis to compare HFSRT, iRT and iRT plus boost (≥ 6 Gyx3 in daily fractions at time of progression) based on a mathematical model of tumour growth, radiation response and patient-specific evolution of resistance to additional treatments (pembrolizumab and bevacizumab). Model parameters were fitted from tumour growth curves of 16 patients enrolled in the phase 1 NCT02313272 trial that combined HFSRT with bevacizumab and pembrolizumab. Then, iRT +/-boost treatments were simulated and compared to HFSRT based on time to tumor regrowth. The modelling results demonstrated that iRT+boost(-boost) treatment was equal or superior to HFSRT in 15(11) out of 16 cases and that patients that remained responsive to pembrolizumab and bevacizumab would benefit most from iRT. Time to progression could be prolonged through the application of additional, intermittently delivered fractions. iRT hence provides a promising treatment option for recurrent high grade glioma patients.

scholarly journals HGG-53. PROJECT HOPE: “PEDIATRIC AND AYA HIGH-GRADE GLIOMA OMICS PROJECT”- A LONGITUDINAL MOLECULAR LANDSCAPE OF HIGH-GRADE GLIOMAS RESOLVED AT SINGLE-CELL LEVEL

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii353-iii353
Author(s):  
Olivia A Hack ◽  
Husam Babikir ◽  
Li Jiang ◽  
Karin Shamardani ◽  
Ilon Liu ◽  
...  
Keyword(s):  
Single Cell ◽  
Tumor Cells ◽  
Evolutionary Dynamics ◽  
Age Groups ◽  
Treatment Resistance ◽  
High Grade Glioma ◽  
Adolescent And Young Adult ◽  
High Grade ◽  
Older Children ◽  
High Grade Gliomas

Abstract High-grade gliomas (HGG) are among the most prevalent and fatal cancers in pediatric, adolescent, and young adult (AYA) patients. Especially understudied are older children and young adults, aged 16–39 years. Previously, we profiled primary pediatric HGGs through single-cell transcriptomics and identified the genetic, epigenetic and developmental programs that drive their malignant progression. However, the questions of how these programs compare to those in older HGG patients, what the mechanisms are by which these tumors ultimately evolve to drive recurrence and treatment resistance, and how distinct tumor cell subpopulations bidirectionally communicate with their microenvironment remain to be elucidated. Here, we use single-nucleus RNA sequencing to compare 11 paired, matched high-grade gliomas at diagnosis and recurrence and 15 additional H3K27M primary and recurrent DMG samples in pediatric and AYA patients. In all tumors, we find both undifferentiated and differentiated tumor cells recapitulating distinct glial lineages, as well as diverse microenvironmental cell populations. When longitudinally comparing this tumor architecture within matched pairs, we find substantial differences in transcriptional program expressions. Diagnostic samples include more differentiated, astrocyte-like tumor cells, while cells from recurrent samples more highly express ribosomal and heat-shock protein genes, suggesting tumor progression- and treatment-related shifts. Ongoing sequencing and analysis will allow for unprecedented insight into the evolutionary dynamics of pediatric and AYA high-grade gliomas as well as delineate differences in the biology of DMGs occurring in different age groups. This multi-institutional project was funded by the National Institute of Health.

scholarly journals HGG-36. HIF-2: A NEW DRUG TARGET IN PEDIATRIC HIGH-GRADE GLIOMA WITH PROMISING PRECLINICAL RESULTS

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii350-iii350
Author(s):  
Quentin Fuchs ◽  
Marina Pierrevelcin ◽  
Christophe Papin ◽  
Monique Dontenwill ◽  
Natacha Entz-Werlé
Keyword(s):  
Drug Testing ◽  
Treatment Resistance ◽  
High Grade Glioma ◽  
Clinical Work ◽  
Driver Mutations ◽  
High Grade ◽  
Innovative Strategy ◽  
Dismal Prognosis ◽  
Cell Arrest ◽  
And Migration

Abstract Pediatric high-grade gliomas (pHGGs) have a very dismal prognosis and need new innovative strategy for treatment. Despite the past discovery of histone H3 driver mutations, we are not able for instance to stop this induced epigenetic remodulation. Therefore, proactive translational studies wish to go further discovering new targetable proteins in pHGG. In our past clinical work, we were able to link significantly HIF-2alpha to a worse pHGG outcome and to their treatment resistance. We designed this new work to determine in several patient-derived cell lines (6 PDCLs) with or without H3.3 mutation the variation of HIF-2alpha, its role, its induction in normoxic and hypoxic microenvironment and its transcriptional targets using RNAseq, metabolomics and ChipSeq analyses. Complementary functional analyses were performed using siRNA strategy during cultures and migration assays. Finally, preclinical drug testing involving commercialized and non-commercialized HIF-2alpha specific inhibitors in the same PDCLs were evaluating their antiproliferative and pro-apoptotic effect. Our results confirmed the central role of HIF-2alpha in cell resistance to treatment, in pHGG stemness features and its direct link with metabolism adaptation and histone interaction. After the confirmation of its frequent presence in multiple PDCLs initiated from thalamic pHGGs and DIPG, we were using inhibitors in a single and combinatorial strategy targeting HIF-2alpha plus another hypoxia biomarker (mTor). This preclinical targeting was highly effective to favor cell arrest, apoptosis and to stop cell migration. In conclusion, HIF-2alpha seem to be a major biomarker in pHGGs that might be targeted giving a useful new opportunity for pHGG treatments.

scholarly journals Against the Resilience of High-Grade Gliomas: The Immunotherapeutic Approach (Part I)

2021 ◽  
Vol 11 (3) ◽  
pp. 386
Author(s):  
Alice Giotta Lucifero ◽  
Sabino Luzzi
Keyword(s):  
Monoclonal Antibodies ◽  
Natural Killer ◽  
Immune Escape ◽  
Meta Analysis ◽  
Treatment Options ◽  
High Grade Glioma ◽  
High Grade ◽  
Future Challenges ◽  
Genetic Landscape ◽  
High Grade Gliomas

The resilience of high-grade gliomas (HGGs) against conventional chemotherapies is due to their heterogeneous genetic landscape, adaptive phenotypic changes, and immune escape mechanisms. Innovative immunotherapies have been developed to counteract the immunosuppressive capability of gliomas. Nevertheless, further research is needed to assess the efficacy of the immuno-based approach. The aim of this study is to review the newest immunotherapeutic approaches for glioma, focusing on the drug types, mechanisms of action, clinical pieces of evidence, and future challenges. A PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis)-based literature search was performed on PubMed/Medline and ClinicalTrials.gov databases using the keywords “active/adoptive immunotherapy,” “monoclonal antibodies,” “vaccine,” and “engineered T cell.”, combined with “malignant brain tumor”, “high-grade glioma.” Only articles written in English published in the last 10 years were selected, filtered based on best relevance. Active immunotherapies include systemic temozolomide, monoclonal antibodies, and vaccines. In several preclinical and clinical trials, adoptive immunotherapies, including T, natural killer, and natural killer T engineered cells, have been shown to be potential treatment options for relapsing gliomas. Systemic temozolomide is considered the backbone for newly diagnosed HGGs. Bevacizumab and rindopepimut are promising second-line treatments. Adoptive immunotherapies have been proven for relapsing tumors, but further evidence is needed.

scholarly journals Convection Enhanced Delivery in the Setting of High-Grade Gliomas

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 561
Author(s):  
Chibueze D. Nwagwu ◽  
Amanda V. Immidisetti ◽  
Michael Y. Jiang ◽  
Oluwasegun Adeagbo ◽  
David C. Adamson ◽  
...  
Keyword(s):  
Rapid Development ◽  
Systemic Exposure ◽  
Therapeutic Index ◽  
High Grade Glioma ◽  
High Grade ◽  
Clinical Experiences ◽  
Convection Enhanced Delivery ◽  
Drug Concentrations ◽  
Infiltrative Growth Pattern ◽  
High Grade Gliomas

Development of effective treatments for high-grade glioma (HGG) is hampered by (1) the blood–brain barrier (BBB), (2) an infiltrative growth pattern, (3) rapid development of therapeutic resistance, and, in many cases, (4) dose-limiting toxicity due to systemic exposure. Convection-enhanced delivery (CED) has the potential to significantly limit systemic toxicity and increase therapeutic index by directly delivering homogenous drug concentrations to the site of disease. In this review, we present clinical experiences and preclinical developments of CED in the setting of high-grade gliomas.

scholarly journals Impact of mass effect, tumor location, age, and surgery on the cognitive outcome of patients with high-grade gliomas: a longitudinal study

2017 ◽  
Vol 4 (4) ◽  
pp. 229-240 ◽  
Author(s):  
Monica Dallabona ◽  
Silvio Sarubbo ◽  
Stefano Merler ◽  
Francesco Corsini ◽  
Giuseppe Pulcrano ◽  
...  
Keyword(s):  
Tumor Volume ◽  
High Grade Glioma ◽  
Joint Effect ◽  
Cognitive Outcome ◽  
Tumor Localization ◽  
High Grade ◽  
Patient Age ◽  
Patient Âgé ◽  
High Grade Gliomas

Abstract Background High-grade gliomas are the most frequently occurring brain tumors and carry unfavorable prognosis. Literature is controversial regarding the effects of surgery on cognitive functions. Methods We analyzed a homogenous population of 30 patients with high-grade glioma who underwent complete resection. Patients underwent extensive neuropsychological analysis before surgery, 7 days after surgery, and approximately 40 days after surgery, before adjuvant treatments. Thirty-four neuropsychological tests were administered in the language, memory, attention, executive functions, and praxis domains. Results The preoperative percentage of patients with impairment in the considered tests ranged from 0% to 53.3% (mean 20.9%). Despite a general worsening at early follow-up, a significant recovery was observed at late follow-up. Preoperative performances in language and verbal memory tasks depended on the joint effect of tumor volume, volume of surrounding edema, and tumor localization, with major deficits in patients with left lateralized tumor, especially insular and temporal. Preoperative performances in attention and constructive abilities tasks depended on the joint effect of tumor volume, volume of surrounding edema, and patient age, with major deficits in patients ≥ 65 years old. Recovery at late follow-up depended on the volume of resected tumor, edema resorption, and patient age. Conclusions Longitudinal neuropsychological performance of patients affected by high-grade glioma depends, among other factors, on the complex interplay of tumor volume, volume of surrounding edema, tumor localization, and patient age. Reported results support the definition of criteria for surgical indication based on the above factors. They may be used to propose more customized surgical, oncological, and rehabilitative strategies.

scholarly journals An Observational Study of the First Experience with Bevacizumab for the Treatment of Patients with Recurrent High-Grade Glioma in Two Belgian University Hospitals

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
M. Huylebrouck ◽  
S. Lv ◽  
J. Duerinck ◽  
A. Van Binst ◽  
I. Salmon ◽  
...  
Keyword(s):  
Phase Ii ◽  
Tumor Response ◽  
Metabolic Response ◽  
Objective Response ◽  
Progression Free Survival ◽  
High Grade Glioma ◽  
High Grade ◽  
University Hospitals ◽  
Phase Ii Trials ◽  
Antiangiogenic Effect

Background. Bevacizumab (BEV), a humanized immunoglobulin G1 monoclonal antibody that inhibits VEGF has demonstrated activity against recurrent high-grade gliomas (HGG) in phase II clinical trials.Patients and Methods. Data were collected from patients with recurrent HGG who initiated treatment with BEV outside a clinical trial protocol at two Belgian university hospitals.Results. 19 patients (11 M/8 F) were administered a total of 138 cycles of BEV (median 4, range 1–31). Tumor response assessment by MRI was available for 15 patients; 2 complete responses and 3 partial responses for an objective response rate of 26% for the intent to treat population were observed on gadolinium-enhanced T1-weighted images; significant regressions on T2/FLAIR were documented in 10 out of 15 patients (67%). A reduced uptake on PET was documented in 3 out of 4 evaluable patients. The six-month progression-free survival was 21% (95% CI 2.7–39.5). Two patients had an ongoing tumor response and remained free from progression after 12 months of BEV treatment.Conclusions. The activity and tolerability of BEV were comparable to results from previous prospective phase II trials. Reduced uptake on PET suggests a metabolic response in addition to an antiangiogenic effect in some cases with favorable clinical outcome.

scholarly journals Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model

2020 ◽  
Vol 378 (2173) ◽  
pp. 20190347 ◽  
Author(s):  
Nick van Osta ◽  
Aurore Lyon ◽  
Feddo Kirkels ◽  
Tijmen Koopsen ◽  
Tim van Loon ◽  
...  
Keyword(s):  
Right Ventricular ◽  
Computational Models ◽  
Clinical Decision Making ◽  
Early Stage ◽  
Patient Specific ◽  
Model Parameters ◽  
Arrhythmogenic Cardiomyopathy ◽  
Tissue Properties ◽  
Myocardial Disease ◽  
Deformation Patterns

Arrhythmogenic cardiomyopathy (AC) is an inherited cardiac disease, clinically characterized by life-threatening ventricular arrhythmias and progressive cardiac dysfunction. Patient-specific computational models could help understand the disease progression and may help in clinical decision-making. We propose an inverse modelling approach using the CircAdapt model to estimate patient-specific regional abnormalities in tissue properties in AC subjects. However, the number of parameters ( n  = 110) and their complex interactions make personalized parameter estimation challenging. The goal of this study is to develop a framework for parameter reduction and estimation combining Morris screening, quasi-Monte Carlo (qMC) simulations and particle swarm optimization (PSO). This framework identifies the best subset of tissue properties based on clinical measurements allowing patient-specific identification of right ventricular tissue abnormalities. We applied this framework on 15 AC genotype-positive subjects with varying degrees of myocardial disease. Cohort studies have shown that atypical regional right ventricular (RV) deformation patterns reveal an early-stage AC disease. The CircAdapt model of cardiovascular mechanics and haemodynamics has already demonstrated its ability to capture typical deformation patterns of AC subjects. We, therefore, use clinically measured cardiac deformation patterns to estimate model parameters describing myocardial disease substrates underlying these AC-related RV deformation abnormalities. Morris screening reduced the subset to 48 parameters. qMC and PSO further reduced the subset to a final selection of 16 parameters, including regional tissue contractility, passive stiffness, activation delay and wall reference area. This article is part of the theme issue ‘Uncertainty quantification in cardiac and cardiovascular modelling and simulation’.

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