Evidence map›Paper›PMID 24626055›Full record

ArticlePloS one2014

18F-FDG and 18F-FLT-PET imaging for monitoring everolimus effect on tumor-growth in neuroendocrine tumors: studies in human tumor xenografts in mice.

Camilla Bardram Johnbeck, Mette Munk Jensen, Carsten Haagen Nielsen, Anne Mette Fisker Hag, Ulrich Knigge, Andreas Kjaer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  12. Molecularly targeted therapies in cancer: a guide for the nuclear medicine physician.European journal of nuclear medicine and molecular imaging · 2017
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  13. [Comparison of early response to combined chemotherapy gemcitabine-cisplatin in non-small cell lung cancer animal model between usingSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
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  14. Article
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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

6 authors at 2 institutions in 1 country.

Camilla Bardram JohnbeckDepartment of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Faculty of Health Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Mette Munk JensenDepartment of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Faculty of Health Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Carsten Haagen NielsenDepartment of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Faculty of Health Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Anne Mette Fisker HagDepartment of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Faculty of Health Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Ulrich KniggeDepartment of Surgical Gastroenterology C and Department of Endocrinology, Rigshospitalet, Copenhagen, Denmark.
Andreas KjaerDepartment of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Faculty of Health Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Rigshospitalet · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe mTOR inhibitor everolimus has shown promising results in some but not all neuroendocrine tumors. Therefore, early assessment of treatment response would be beneficial. In this study, we investigated the in vivo and in vitro treatment effect of everolimus in neuroendocrine tumors and evaluated the performance of 18F-FDG and the proliferation tracer 18F-FLT for treatment response assessment by PET imaging.

methodsThe effect of everolimus on the human carcinoid cell line H727 was examined in vitro with the MTT assay and in vivo on H727 xenograft tumors. The mice were scanned at baseline with 18F-FDG or 18F-FLT and then treated with either placebo or everolimus (5 mg/kg daily) for 10 days. PET/CT scans were repeated at day 1,3 and 10.

resultsEverolimus showed significant inhibition of H727 cell proliferation in vitro at concentrations above 1 nM. In vivo tumor volumes measured relative to baseline were significantly lower in the everolimus group compared to the control group at day 3 (126±6% vs. 152±6%; p = 0.016), day 7 (164±7% vs. 226±13%; p<0.001) and at day 10 (194±10% vs. 281±18%; p<0.001). Uptake of 18F-FDG and 18F-FLT showed little differences between control and treatment groups, but individual mean uptake of 18F-FDG at day 3 correlated with tumor growth day 10 (r2 = 0.45; P = 0.034), 18F-FLT mean uptake at day 1 correlated with tumor growth day 7 (r2 = 0.63; P = 0.019) and at day 3 18F-FLT correlated with tumor growth day 7 (r2 = 0.87; P<0.001) and day 10 (r2 = 0.58; P = 0.027).

conclusionEverolimus was effective in vitro and in vivo in human xenografts lung carcinoid NETs and especially early 18F-FLT uptake predicted subsequent tumor growth. We suggest that 18F-FLT PET can be used for tailoring therapy for neuroendocrine tumor patients through early identification of responders and non-responders.

Indexed as

DideoxynucleosidesFluorodeoxyglucose F18Positron-Emission TomographyAnimalsAntineoplastic AgentsCell Line, TumorCell ProliferationDrug MonitoringEverolimusFemaleHumansMiceMultimodal ImagingNeuroendocrine TumorsTomography, X-Ray ComputedXenograft Model Antitumor AssaysalovudineAntineoplastic AgentsDideoxynucleosidesEverolimusFluorodeoxyglucose F18

Identifiers

PMID24626055
PMCPMC3953383
OpenAlexW2049985806

What OpenQuestion holds

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LicenceCC BY
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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.