Evidence map›Paper›PMID 33901585›Full record

ArticleMagnetic resonance imaging2021

In vivo detection of distal tumor glycolytic flux stimulated by hepatic ablation in a breast cancer model using hyperpolarized

J Scott Goodwin, Leo L Tsai, David Mwin, Patricia Coutinho de Souza, Svayam Dialani, John T Moon, Zheng Zhang, Aaron K Grant, Muneeb Ahmed

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 1 country.

J Scott GoodwinBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; UT Austin Dell Medical School Transitional Program, 1400 IH-35, CEC 2.404, Austin, TX 78701, USA.
Leo L TsaiBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA. Electronic address: ltsai1@bidmc.harvard.edu.
David MwinBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA.
Patricia Coutinho de SouzaBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Genmab, 777 Scudders Mill Rd, Plainsboro, NJ 08536, USA.
Svayam DialaniBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Northwestern University, 2145 Ridge Ave, Evanston, IL 60201, USA.
John T MoonBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Division of Interventional Radiology, Emory University School of Medicine, Emory University Hospital, 1364 Clifton Road NE, Atlanta, GA 30322, USA.
Zheng ZhangBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA.
Aaron K GrantBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA.
Muneeb AhmedBeth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA.
Beth Israel Deaconess Medical Center · USGenmab (United States) · USNorthwestern University · US

Funding

Modulating systemic pro-oncogenic effects of focal image-guided tumor ablationR01CA197081 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI AHMED, MUNEEB · 2016 to 2020
$2.4M
Hyperpolarized NMR for Studies of Cancer Therapies Targeting the Warburg EffectR01CA169470 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GRANT, AARON KEITH · 2013 to 2017
$1.8M
Pathway Specific Imaging in VHL Deficient Renal CancerR01CA152330 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SETH, PANKAJ K. · 2011 to 2014
$1.6M
Improved methods for perfusion imaging with hyperpolarized carbon-13R01EB028824 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GRANT, AARON KEITH · 2020 to 2023
$1.6M
NCI NIH HHS R01 CA152330NCI NIH HHS R01 CA169470NCI NIH HHS R01 CA197081NIBIB NIH HHS R01 EB028824
6 · The paper itself

Abstract

purposeHepatic thermal ablation therapy can result in c-Met-mediated off-target stimulation of distal tumor growth. The purpose of this study was to determine if a similar effect on tumor metabolism could be detected in vivo with hyperpolarized MATERIALS AND

methodsIn this prospective study, female Fisher rats (n = 28, 120-150 g) were implanted with R3230 rat breast adenocarcinoma cells and assigned to either: sham surgery, hepatic radiofrequency ablation (RFA), or hepatic RFA + adjuvant c-Met inhibition with PHA-665752 (RFA + PHA). PHA-665752 was administered at 0.83 mg/kg at 24 h post-RFA. Tumor growth was measured daily. MRI was performed 24 h before and 72 h after treatment on 14 rats, and the conversion of

resultsHepatic RFA alone resulted in increased growth of the distant tumor compared to sham treatment (0.50 ± 0.13 mm/day versus 0.11 ± 0.07 mm/day; p < 0.001), whereas RFA + PHA (0.06 ± 0.13 mm/day) resulted in no significant change from sham treatment (p = 0.28). A significant increase in LPR was seen following hepatic RFA (+0.016 ± 0.010, p = 0.02), while LPR was unchanged for sham treatment (-0.048 ± 0.051, p = 0.10) or RFA + PHA (0.003 ± 0.041, p = 0.90).

conclusionIn vivo hyperpolarized

Indexed as

Catheter AblationLiver NeoplasmsNeoplasmsAnimalsFemaleLiverMagnetic Resonance ImagingProspective StudiesRatsHyperpolarized 13C MRILactateLiver ablation therapyRadiofrequency ablationTumor metabolism

Identifiers

PMID33901585
PMCPMC8203414
OpenAlexW3157252324

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.