Evidence map›Paper›PMID 26372698›Full record

ArticleBritish journal of cancer2015

A serum metabolomic fingerprint of bevacizumab and temsirolimus combination as first-line treatment of metastatic renal cell carcinoma.

Elodie Jobard, Ellen Blanc, Sylvie Négrier, Bernard Escudier, Gwenaelle Gravis, Christine Chevreau, Bénédicte Elena-Herrmann, Olivier Trédan

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Elodie JobardCentre de RMN à Très Hauts Champs, Institut des Sciences Analytiques (CNRS/ENS Lyon/UCB Lyon 1), Université de Lyon, 69100 Villeurbanne, France.
Ellen BlancUniversité de Lyon, Centre Léon Bérard, 69008 Lyon, France.
Sylvie NégrierUniversité de Lyon, Centre Léon Bérard, 69008 Lyon, France.
Bernard EscudierInstitut Gustave Roussy, 94805 Villejuif, France.
Gwenaelle GravisInstitut Paoli Calmette, 13009 Marseille, France.
Christine ChevreauInstitut Claudius Regaud, 31059 Toulouse, France.
Bénédicte Elena-HerrmannCentre de RMN à Très Hauts Champs, Institut des Sciences Analytiques (CNRS/ENS Lyon/UCB Lyon 1), Université de Lyon, 69100 Villeurbanne, France.
Olivier TrédanUniversité de Lyon, Centre Léon Bérard, 69008 Lyon, France.
Centre Léon Bérard · FRInstitut Claudius Regaud · FRInstitut des Sciences Analytiques · FRInstitut Gustave Roussy · FRInstitut Paoli-Calmettes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal cell carcinoma is one of the most chemoresistant cancers, and its metastatic form requires administration of targeted therapies based on angiogenesis or mTOR inhibitors. Understanding how these treatments impact the human metabolism is essential to predict the host response and adjust personalised therapies. We present a metabolomic investigation of serum samples from patients with metastatic RCC (mRCC) to identify metabolic signatures associated with targeted therapies.

methodsPre-treatment and serial on-treatment sera were available for 121 patients participating in the French clinical trial TORAVA, in which 171 randomised patients with mRCC received a bevacizumab and temsirolimus combination (experimental arm A) or a standard treatment: either sunitinib (B) or interferon-α+bevacizumab (C). Metabolic profiles were obtained using nuclear magnetic resonance spectroscopy and compared on-treatment or between treatments.

resultsMultivariate statistical modelling discriminates serum profiles before and after several weeks of treatment for arms A and C. The combination A causes faster changes in patient metabolism than treatment C, detectable after only 2 weeks of treatment. Metabolites related to the discrimination include lipids and carbohydrates, consistently with the known RCC metabolism and side effects of the drugs involved. Comparison of the metabolic profiles for the three arms shows that temsirolimus, an mTOR inhibitor, is responsible for the faster host metabolism modification observed in the experimental arm.

conclusionsIn mRCC, metabolomics shows a faster host metabolism modification induced by a mTOR inhibitor as compared with standard treatments. These results should be confirmed in larger cohorts and other cancer types.

Indexed as

Angiogenesis InhibitorsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, Renal CellFemaleHumansIndolesInterferon-alphaKidney NeoplasmsMaleMetabolomeMiddle AgedPyrrolesSerumSirolimusAngiogenesis InhibitorsAntineoplastic AgentsBevacizumabIndolesInterferon-alphaPyrrolesSirolimusSunitinibtemsirolimusTOR Serine-Threonine Kinases

Identifiers

PMID26372698
PMCPMC4647878
OpenAlexW1843043731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

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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.