Evidence map›Paper›PMID 27857216›Full record

Trial reportScientific reports2016

Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma.

Márcia S Monteiro, António S Barros, Joana Pinto, Márcia Carvalho, Ana S Pires-Luís, Rui Henrique, Carmen Jerónimo, Maria de Lourdes Bastos, Ana M Gil, Paula Guedes de Pinho

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  17. New findings on urinary prostate cancer metabolome through combined GC-MS andMetabolomics : Official journal of the Metabolomic Society · 2020
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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

10 authors at 4 institutions in 1 country.

Márcia S MonteiroUCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal.
António S BarrosCICECO- Instituto de Materiais de Aveiro (CICECO/UA), Departamento de Química, Universidade de Aveiro, 3810-193 Aveiro, Portugal.
Joana PintoCICECO- Instituto de Materiais de Aveiro (CICECO/UA), Departamento de Química, Universidade de Aveiro, 3810-193 Aveiro, Portugal.
Márcia CarvalhoUCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Ana S Pires-LuísCancer Biology &Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO of Porto), Porto, Portugal.
Rui HenriqueCancer Biology &Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO of Porto), Porto, Portugal.
Carmen JerónimoCancer Biology &Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO of Porto), Porto, Portugal.
Maria de Lourdes BastosUCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Ana M GilCICECO- Instituto de Materiais de Aveiro (CICECO/UA), Departamento de Química, Universidade de Aveiro, 3810-193 Aveiro, Portugal.
Paula Guedes de PinhoUCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Rede de Química e Tecnologia · PTUniversity of Aveiro · PTInstituto Português de Oncologia Francisco Gentil · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced.

Indexed as

MetabolomeMetabolomicsNuclear Magnetic Resonance, BiomolecularAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID27857216
PMCPMC5114559
OpenAlexW2555456453

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.