Evidence map›Paper›PMID 26883274›Full record

ArticleMolecular cancer therapeutics2016

MR Studies of Glioblastoma Models Treated with Dual PI3K/mTOR Inhibitor and Temozolomide:Metabolic Changes Are Associated with Enhanced Survival.

Marina Radoul, Myriam M Chaumeil, Pia Eriksson, Alan S Wang, Joanna J Phillips, Sabrina M Ronen

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 44 citations in OpenAlex.

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  7. Specialized computational methods for denoising, BMagnetic resonance in medicine · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Marina RadoulDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Myriam M ChaumeilDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Pia ErikssonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Alan S WangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Joanna J PhillipsBrain Tumor Research Center, University of California San Francisco, San Francisco, California. Neuropathology Division, Department of Pathology, UCSF School of Medicine, UCSF Medical Center, San Francisco, California.
Sabrina M RonenDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California. Brain Tumor Research Center, University of California San Francisco, San Francisco, California. sabrina.ronen@ucsf.edu.
University of California, San Francisco · US

Funding

Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Pavithra Viswanath · 2007 to 2026
$44.7M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUAN XU · 2011 to 2026
$19.9M
MR Metabolic Imaging of Response to Targeted Therapies in GBMR01CA154915 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NELSON, SARAH J., RONEN, SABRINA MIRIAM · 2011 to 2015
$2.7M
NCI NIH HHS P01 CA118816NCI NIH HHS R01 CA154915NIBIB NIH HHS P41 EB013598
6 · The paper itself

Abstract

The current standard of care for glioblastoma (GBM) is surgical resection, radiotherapy, and treatment with temozolomide (TMZ). However, resistance to current therapies and recurrence are common. To improve survival, agents that target the PI3K signaling pathway, which is activated in approximately 88% of GBM, are currently in clinical trials. A challenge with such therapies is that tumor shrinkage is not always observed. New imaging methods are therefore needed to monitor response to therapy and predict survival. The goal of this study was to determine whether hyperpolarized (13)C magnetic resonance spectroscopic imaging (MRSI) and (1)H magnetic resonance spectroscopy (MRS) can be used to monitor response to the second-generation dual PI3K/mTOR inhibitor voxtalisib (XL765, SAR245409), alone or in combination with TMZ. We investigated GS-2 and U87-MG GBM orthotopic tumors in mice, and used MRI, hyperpolarized (13)C MRSI, and (1)H MRS to monitor the effects of treatment. In our study, (1)H MRS could not predict tumor response to therapy. However, in both our models, we observed a significantly lower hyperpolarized lactate-to-pyruvate ratio in animals treated with voxtalisib, TMZ, or combination therapy, when compared with controls. This metabolic alteration was observed prior to MRI-detectable changes in tumor size, was consistent with drug action, and was associated with enhanced animal survival. Our findings confirm the potential translational value of the hyperpolarized lactate-to-pyruvate ratio as a biomarker for noninvasively assessing the effects of emerging therapies for patients with GBM. Mol Cancer Ther; 15(5); 1113-22. ©2016 AACR.

Indexed as

Phosphoinositide-3 Kinase InhibitorsAnimalsBrain NeoplasmsCell Line, TumorDacarbazineDisease Models, AnimalFemaleGlioblastomaHumansImmunohistochemistryKaplan-Meier EstimateMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMicePhosphatidylinositol 3-KinasesPrognosisDacarbazinePhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsTemozolomideTOR Serine-Threonine Kinases

Identifiers

PMID26883274
PMCPMC4873419
OpenAlexW2286067421

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.