Evidence map›Paper›PMID 29137365›Full record

ArticleOncotarget2017

Longitudinal serum metabolomics evaluation of trastuzumab and everolimus combination as pre-operative treatment for HER-2 positive breast cancer patients.

Elodie Jobard, Olivier Trédan, Thomas Bachelot, Arnaud M Vigneron, Céline Mahier Aït-Oukhatar, Monica Arnedos, Maria Rios, Jacques Bonneterre, Véronique Diéras, Marta Jimenez and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  8. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Review
  11. African Vegetables (Oxidative medicine and cellular longevity · 2020
    Article
  12. Review
  13. High-Throughput Metabolomics by 1D NMR.Angewandte Chemie (International ed. in English) · 2019
    Review
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

13 authors at 9 institutions in 1 country.

Elodie JobardUniversité de Lyon, Institut des Sciences Analytiques, UMR 5280, CNRS, Université Lyon 1, ENS de Lyon, Villeurbanne, France.
Olivier TrédanUniversité de Lyon, Centre Léon Bérard, Département d'oncologie médicale, Lyon, France.
Thomas BachelotUniversité de Lyon, Centre Léon Bérard, Département d'oncologie médicale, Lyon, France.
Arnaud M VigneronUniversité de Lyon, Centre de Cancérologie de Lyon, UMR Inserm 1052 CNRS 5286, Centre Léon Bérard, Lyon, France.
Céline Mahier Aït-OukhatarR&D Unicancer, UNICANCER, Paris, France.
Monica ArnedosDepartment of Medicine, Gustave Roussy, Villejuif, France.
Maria RiosDepartment of Medical Oncology, Centre Alexis Vautrin, Vandoeuvre-les-Nancy, France.
Jacques BonneterreDepartment of Medical Oncology, Centre Oscar Lambret, Lille, France.
Véronique DiérasDepartment of Medical Oncology, Institut Curie, Paris, France.
Marta JimenezR&D Unicancer, UNICANCER, Paris, France.
Jean-Louis MerlinCNRS UMR7039 CRAN, Université de Lorraine, Vandoeuvre-les-Nancy, France.
Mario CamponeInstitut de Cancérologie de l'Ouest, Centre René Gauducheau, Saint-Herblain, France.
Bénédicte Elena-HerrmannUniversité de Lyon, Institut des Sciences Analytiques, UMR 5280, CNRS, Université Lyon 1, ENS de Lyon, Villeurbanne, France.
Université Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FRUniCancer Group · FRCentre Léon Bérard · FRCentre Oscar Lambret · FRDélégation Centre-Est · FRInstitut Curie · FRInstitut de Cancérologie de l'Ouest · FRInstitut Gustave Roussy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian target of rapamycin complex 1 (mTORC1) is an attractive target for HER-2 positive breast cancer therapy because of its key role in protein translation regulation, cell growth and metabolism. We present here a metabolomic investigation exploring the impact of mTOR inhibition on serum metabolic profiles from patients with non-metastatic breast cancer overexpressing HER-2. Baseline, treatment-related and post-treatment serum samples were analyzed for 79 patients participating in the French clinical trial RADHER, in which randomized patients with HER-2 positive breast cancer received either trastuzumab alone (arm T) or a trastuzumab and everolimus combination (arm T+E). Longitudinal series of NMR serum metabolic profiles were exploited to investigate treatment effects on the patients metabolism over time, in both group. Trastuzumab and everolimus combination induces faster changes in patients metabolism than trastuzumab alone, visible after only one week of treatment as well as a residual effect detectable up to three weeks after ending the treatment. These metabolic fingerprints highlight the involvement of several metabolic pathways reflecting a systemic effect, particularly on the liver and visceral fat. Comparison of serum metabolic profiles between the two arms shows that everolimus, an mTORC1 inhibitor, is responsible for host metabolism modifications observed in arm T+E. In HER-2 positive breast cancer, our metabolomic approach confirms a fast and persistent host metabolism modification caused by mTOR inhibition.

Indexed as

HER-2 positive breast cancermetabolomicsmTOR inhibitornuclear magnetic resonancetargeted therapies

Identifiers

PMID29137365
PMCPMC5663537
OpenAlexW2727007548

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.