Evidence map›Paper›PMID 33246980›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2021

Ferronostics: Measuring Tumoral Ferrous Iron with PET to Predict Sensitivity to Iron-Targeted Cancer Therapies.

Ning Zhao, Yangjie Huang, Yung-Hua Wang, Ryan K Muir, Ying-Chu Chen, Junnian Wei, Nima Hooshdaran, Pavithra Viswanath, Youngho Seo, Davide Ruggero and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.9field-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

29 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  10. A tandem activity-based sensing and labeling strategy reveals antioxidant response element regulation of labile iron pools.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
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  15. Article
  16. Imaging-Selected Host Responses in the Context of Infections.The Journal of infectious diseases · 2023
    Article
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  18. Review
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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

12 authors at 1 institution in 1 country.

Ning ZhaoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Yangjie HuangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Yung-Hua WangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Ryan K MuirDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Ying-Chu ChenDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Junnian WeiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Nima HooshdaranDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Pavithra ViswanathDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
Davide RuggeroHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California; and.
Adam R RensloDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Michael J EvansDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California; michael.evans@ucsf.edu.
University of California, San Francisco · US

Funding

Chemical Methods for Ferrous Iron Dependent Drug DeliveryR01AI105106 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RENSLO, ADAM R · 2013 to 2022
$4.6M
Developing a pretargeting strategy to detect Fe(II) for nuclear medicine applicationsR01EB029429 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EVANS, MICHAEL JOHN, RENSLO, ADAM R · 2021 to 2024
$2.6M
NIAID NIH HHS R01 AI105106NIBIB NIH HHS R01 EB029429
6 · The paper itself

Abstract

Although cancer has been known for decades to harbor an insatiable appetite for iron, only recently has the chemistry emerged to exploit this altered state therapeutically, by targeting the expanded cytosolic labile iron pool (LIP) of the cancer cell. The state of the art includes therapies that react with the LIP to produce cytotoxic radical species (in some cases also releasing drug payloads) and molecules that exacerbate LIP-induced oxidative stress to trigger ferroptosis. Effectively implementing LIP-targeted therapies in patients will require biomarkers to identify those tumors with the most elevated LIP and thus most likely to succumb to LIP-targeted interventions. Toward this goal, we tested whether tumor uptake of the novel LIP-sensing radiotracer

Indexed as

IronNeoplasmsPositron-Emission TomographyAnimalsFemaleFerrous CompoundsMaleMiceMolecular Targeted TherapyRadioactive TracersFerrous CompoundsIronRadioactive Tracerslabile iron poolPETtheranostics

Identifiers

PMID33246980
PMCPMC8882888
OpenAlexW3109590472

What OpenQuestion holds

Textmetadata
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.