Evidence map›Paper›PMID 31666664›Full record

ArticleScientific reports2019

LC-MS based metabolomic profiling for renal cell carcinoma histologic subtypes.

Lun Jing, Jean-Marie Guigonis, Delphine Borchiellini, Matthieu Durand, Thierry Pourcher, Damien Ambrosetti

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05782400 (Multiomics Approach for Patients Stratification and Novel Target Identification in Metastatic Clear Renal Cell Carcnoma), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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.

NCT05782400 active not recruitingnot on this mapstarted 2023, after this paper: background citation

Multiomics Approach for Patients Stratification and Novel Target Identification in Metastatic Clear Renal Cell Carcnoma

TypeobservationalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2023 to 2027Enrolled100ConditionsMetastatic Clear Cell Renal CarcinomaArmsCT scan, Plasma collection
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
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  9. HyperpolarizedCancers · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Metabolomic and elemental profiling of human tissue in kidney cancer.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  17. Article
  18. 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

6 authors.

Lun JingLaboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Institut de biosciences et biotechnologies d'Aix-Marseille (BIAM), Commissariat à lEnergie Atomique, Nice, France.
Jean-Marie GuigonisLaboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Institut de biosciences et biotechnologies d'Aix-Marseille (BIAM), Commissariat à lEnergie Atomique, Nice, France.
Delphine BorchielliniMedical Oncology Department, Centre Antoine Lacassagne, Nice, France.
Matthieu DurandUrology Department, Centre Hospitalier Universitaire, Nice, France.
Thierry PourcherLaboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Institut de biosciences et biotechnologies d'Aix-Marseille (BIAM), Commissariat à lEnergie Atomique, Nice, France. thierry.pourcher@univ-cotedazur.fr.
Damien AmbrosettiCentral Laboratory of Anatomopathology, Centre Hospitalier Universitaire, Nice, France.ORCID http://orcid.org/0000-0001-8665-0546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinomas (RCC) are classified according to their histological features. Accurate classification of RCC and comprehensive understanding of their metabolic dysregulation are of critical importance. Here we investigate the use of metabolomic analyses to classify the main RCC subtypes and to describe the metabolic variation for each subtype. To this end, we performed metabolomic profiling of 65 RCC frozen samples (40 clear cell, 14 papillary and 11 chromophobe) using liquid chromatography-mass spectrometry. OPLS-DA multivariate analysis based on metabolomic data showed clear discrimination of all three main subtypes of RCC (R

Indexed as

AdultAgedCarcinoma, Renal CellChromatography, LiquidHumansKidney NeoplasmsMetabolomicsMiddle AgedNeoplasm StagingPrognosisTandem Mass Spectrometry

Identifiers

PMID31666664
PMCPMC6821699

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Registered trials

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.