Evidence map›Paper›PMID 21192792›Full record

ArticleJournal of experimental & clinical cancer research : CR2010

Preclinical evaluation of KIT/PDGFRA and mTOR inhibitors in gastrointestinal stromal tumors using small animal FDG PET.

Maria Abbondanza Pantaleo, Giordano Nicoletti, Cristina Nanni, Chiara Gnocchi, Lorena Landuzzi, Carmelo Quarta, Stefano Boschi, Margherita Nannini, Monica Di Battista, Paolo Castellucci and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
  5. Mutational inactivation of mTORC1 repressor geneProceedings of the National Academy of Sciences of the United States of America · 2019
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  8. 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

16 authors at 6 institutions in 2 countries.

Maria Abbondanza PantaleoDepartment of Hematology and Oncology Sciences L. A. Seragnoli, Sant' Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy. maria.pantaleo@unibo.it
Giordano Nicoletti
Cristina Nanni
Chiara Gnocchi
Lorena Landuzzi
Carmelo Quarta
Stefano Boschi
Margherita Nannini
Monica Di Battista
Paolo Castellucci
Stefano Fanti
Pier Luigi Lollini
Elena Bellan
Mauro Castelli
Domenico Rubello
Guido Biasco
University of Bologna · ITPoliclinico S.Orsola-Malpighi · ITIstituto Ortopedico Rizzoli · ITOspedale Santa Maria della Misericordia di Rovigo · ITNational Cancer Institute · MYNovartis (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary and secondary drug resistance to imatinib and sunitinib in patients with gastrointestinal stromal tumors (GISTs) has led to a pressing need for new therapeutic strategies such as drug combinations. Most GISTs are caused by mutations in the KIT receptor, leading to upregulated KIT tyrosine kinase activity. Imatinib and nilotinib directly inhibit the kinase activity of KIT, while RAD001 (everolimus) inhibits mTOR. We report a preclinical study on drug combinations in a xenograft model of GIST in which effects on tumor dimensions and metabolic activity were assessed by small animal PET imaging.

methodsRag2-/-; γcommon -/- male mice were injected s.c. into the right leg with GIST 882. The animals were randomized into 6 groups of 6 animals each for different treatment regimens: No therapy (control), imatinib (150 mg/kg b.i.d.) by oral gavage for 6 days, then once/day for another 7 days, everolimus (10 mg/kg/d.) by oral gavage, everolimus (10 mg/kg/d.) + imatinib (150 mg/kg b.i.d.) by oral gavage for 6 days, then once/day for another 7 days, nilotinib (75 mg/kg/d.) by oral gavage, nilotinib (75 mg/kg/d.) + imatinib (150 mg/kg b.i.d) by oral gavage for 6 days, then once/day for another 7 days. Tumor growth control was evaluated by measuring tumor volume (cm3). Small animal PET (GE Explore tomography) was used to evaluate tumor metabolism and performed in one animal per group at base-line then after 4 and 13 days of treatment.

resultsAfter a median latency time of 31 days, tumors grew in all animals (volume 0,06-0,15 cm3) and the treatments began at day 38 after cell injection. Tumor volume control (cm3) after 13 days of treatment was > 0.5 for imatinib alone and nilotinib alone, and < 0.5 for the 2 combinations of drugs and for everolimus alone. The baseline FDG uptake was positive in all animals. FDG/SUV/TBR was strongly reduced over time by everolimus both as a single agent and in combination with imatinib respectively: 3.1 vs. 2.3 vs. 1.9 and 2.5 vs 2.3 vs 0.

conclusionsAs single agents, all drugs showed an anti-tumor effect in GIST xenografts but everolimus was superior. The everolimus plus imatinib combination appeared to be the most active regimen both in terms of inhibiting tumor growth and tumor metabolism. The integration of everolimus in GIST treatment merits further investigation.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsBenzamidesEnzyme InhibitorsEverolimusFluorodeoxyglucose F18Gastrointestinal Stromal TumorsHumansImatinib MesylateMaleMiceMice, KnockoutPiperazinesPositron-Emission TomographyProto-Oncogene Proteins c-kitPyrimidinesBenzamidesEnzyme InhibitorsEverolimusFluorodeoxyglucose F18Imatinib MesylatemTOR protein, mousenilotinibPiperazinesProto-Oncogene Proteins c-kitPyrimidinesRadiopharmaceuticalsReceptor, Platelet-Derived Growth Factor alphaSirolimusTOR Serine-Threonine Kinases

Identifiers

PMID21192792
PMCPMC3022678
OpenAlexW2125561235

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.