Evidence map›Paper›PMID 33193439›Full record

ReviewFrontiers in immunology2020

Visualization of Diagnostic and Therapeutic Targets in Glioma With Molecular Imaging.

Deling Li, Chirag B Patel, Guofan Xu, Andrei Iagaru, Zhaohui Zhu, Liwei Zhang, Zhen Cheng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
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  8. Next-generation agents for fluorescence-guided glioblastoma surgery.Bioengineering & translational medicine · 2024
    Article
  9. Review
  10. Review
  11. Review
  12. Review
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  15. Nuclear Medicine and Cancer Theragnostics: Basic Concepts.Diagnostics (Basel, Switzerland) · 2023
    Review
  16. Article
  17. Review
  18. Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.International journal of molecular sciences · 2023
    Review
  19. Article
  20. 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

7 authors at 5 institutions in 2 countries.

Deling LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.
Chirag B PatelMolecular Imaging Program at Stanford (MIPS), Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States.
Guofan XuMolecular Imaging Program at Stanford (MIPS), Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States.
Andrei IagaruMolecular Imaging Program at Stanford (MIPS), Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States.
Zhaohui ZhuDepartment of Nuclear Medicine, Peking Union Medical College Hospital, Beijing, China.
Liwei ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.
Zhen ChengMolecular Imaging Program at Stanford (MIPS), Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States.
Stanford University · USCapital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNational Clinical Research Center for Digestive Diseases · CNStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas, particularly high-grade gliomas including glioblastoma (GBM), represent the most common and malignant types of primary brain cancer in adults, and carry a poor prognosis. GBM has been classified into distinct subgroups over the years based on cellular morphology, clinical characteristics, biomarkers, and neuroimaging findings. Based on these classifications, differences in therapeutic response and patient outcomes have been established. Recently, the identification of complex molecular signatures of GBM has led to the development of diverse targeted therapeutic regimens and translation into multiple clinical trials. Chemical-, peptide-, antibody-, and nanoparticle-based probes have been designed to target specific molecules in gliomas and then be visualized with multimodality molecular imaging (MI) techniques including positron emission tomography (PET), single-photon emission computed tomography (SPECT), near-infrared fluorescence (NIRF), bioluminescence imaging (BLI), and magnetic resonance imaging (MRI). Thus, multiple molecules of interest can now be noninvasively imaged to guide targeted therapies with a potential survival benefit. Here, we review developments in molecular-targeted diagnosis and therapy in glioma, MI of these targets, and MI monitoring of treatment response, with a focus on the biological mechanisms of these advanced molecular probes. MI probes have the potential to noninvasively demonstrate the pathophysiologic features of glioma for diagnostic, treatment, and response assessment considerations for various targeted therapies, including immunotherapy. However, most MI tracers are in preclinical development, with only integrin α

Indexed as

AnimalsBiomarkers, TumorBrain NeoplasmsClinical Trials as TopicDisease SusceptibilityGliomaHumansMagnetic Resonance ImagingMolecular ImagingMolecular Targeted TherapyMultimodal ImagingMutationNeoplastic Stem CellsPositron-Emission TomographyReceptors, Platelet-Derived Growth Factorsrc-Family KinasesBiomarkers, TumorReceptors, Platelet-Derived Growth Factorsrc-Family Kinasesgliomamolecular imagingprecision medicineprobestargeted therapy

Identifiers

PMID33193439
PMCPMC7662122
OpenAlexW3095687505

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.