Evidence map›Paper›PMID 35967756›Full record

ArticleMolecular imaging2022

[

Youngho Seo, Miranda C Craig, Stephanie T Murphy, Jinjin Feng, Xin Chen, Mariia Yuneva

Open access · goldAbstract read
In one paragraph

Article in Molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Preliminary clinical investigation ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Review
  3. Radiosynthesis and Analysis of (S)-4-(3-[Molecular imaging and biology · 2023
    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

6 authors at 4 institutions in 3 countries.

Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.ORCID 0000-0001-5908-6636
Miranda C CraigDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
Stephanie T MurphyDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Jinjin FengDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Xin ChenDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
Mariia YunevaThe Francis Crick Institute, London, UK.
University of California, San Francisco · USInstitute of Molecular and Cell Biology · RUThe Francis Crick Institute · GBUniversity of Hawaiʻi at Mānoa · US

Funding

MicroPET/CT for Small Animal ImagingS10RR023051 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VANBROCKLIN, HENRY F. · 2007 to 2007
$1.3M
NCRR NIH HHS S10 RR023051
6 · The paper itself

Abstract

Purpose: Quantitative Methods: For this study, we used two transgenic mouse models of HCC induced by protooncogenes, MYC, and MET. Biochemical data have shown that tumors induced by MYC have increased levels of glutamine metabolism compared to those induced by MET. One-hour dynamic [ Results: Influx rate constants were significantly higher for MYC tumors ( Conclusion: Higher influx rate constants corresponded to elevated levels of glutamine metabolism as determined by biochemical assays. The data showed that there is a distinctive difference in glutamine metabolism between MYC and MET tumors. Our study has demonstrated the potential of [

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnimalsDisease Models, AnimalGlutamineMiceMice, TransgenicPositron-Emission Tomography4-fluoroglutamineGlutamine

Identifiers

PMID35967756
PMCPMC9351703
OpenAlexW4287577669

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.