Evidence map›Paper›PMID 34390758›Full record

ArticleJournal of neuroscience methods2021

Methods for intratumoral microdialysis probe targeting and validation in murine brain tumor models.

Karishma Rajani, Ian Olson, Joshua J Jacobs, Cecile Riviere-Cazaux, Kirsten Burns, Lucas Carlstrom, Mark Schroeder, Juhee Oh, Charles L Howe, Masum Rahman and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

13 authors at 3 institutions in 1 country.

Karishma RajaniDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Ian OlsonDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Joshua J JacobsDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Cecile Riviere-CazauxDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Kirsten BurnsDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Lucas CarlstromDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Mark SchroederDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Juhee OhBrain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, United States.
Charles L HoweDepartment of Neurology, Mayo Clinic, Rochester, MN, United States.
Masum RahmanDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States; Brain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, United States; Department of Neurology, Mayo Clinic, Rochester, MN, United States; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Jann N SarkariaDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
William F ElmquistBrain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, United States.
Terry C BurnsDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States. Electronic address: Burns.Terry@mayo.edu.
Mayo Clinic · USUniversity of Minnesota · USMayo Clinic in Arizona · US

Funding

Impact of radiation-induced senescence on the glioblastoma microenvironmentR21NS109770 · NINDS · MAYO CLINIC ROCHESTER · PI BURNS, TERRY · 2019 to 2020
$439k
NINDS NIH HHS R21 NS109770
6 · The paper itself

Abstract

backgroundMicrodialysis is a well validated sampling technique that can be used for pharmacokinetic studies of oncological drugs targeting the central nervous system. This technique has also been applied to evaluate tumor metabolism and identify pharmacodynamic biomarkers of drug activity. Despite the potential utility of microdialysis for therapeutic discovery, variability in tumor size and location hamper routine use of microdialysis as a preclinical tool. Quantitative validation of microdialysis membrane location relative to radiographically evident tumor regions could facilitate rigorous preclinical studies. However, a widely accessible standardized workflow for preclinical catheter placement and validation is needed. NEW

methodWe provide methods for a workflow to yield tailored placement of microdialysis probes within a murine intracranial tumor and illustrate in an IDH1-mutant patient-derived xenograft (PDX) model. This detailed workflow uses a freely available on-line tool built within 3D-slicer freeware to target microdialysis probe placement within the tumor core and validate probe placement fully within the tumor.

resultsWe illustrate use of this workflow to validate microdialysis probe location relative to implanted IDH1-mutant PDXs, using the microdialysis probes to quantify levels of extracellular onco-metabolite D-2 hydroxyglutarate. COMPARISON WITH EXISTING

methodsPrevious methods have used 3D slicer to reliably measure tumor volumes. Prior microdialysis studies have targeted expected tumor locations without validation.

conclusionsThe new method offers a streamlined and freely available workflow in 3D slicer to optimize and validate microdialysis probe placement within a murine brain tumor.

Indexed as

Brain NeoplasmsAnimalsCentral Nervous SystemHumansMiceMicrodialysis2 hydroxyglutarate (2HG)3D slicerGlioblastomasIsocitrate dehydrogenase I (IDH-1)Magnetic Resonance Imaging (MRI)MicrodialysisPatient derived xenografts (PDX)

Identifiers

PMID34390758
PMCPMC10703144
OpenAlexW3195410749

What OpenQuestion holds

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Registered trials

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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.