Evidence map›Paper›PMID 36144183›Full record

ArticleMetabolites2022

Updates and Original Case Studies Focused on the NMR-Linked Metabolomics Analysis of Human Oral Fluids Part II: Applications to the Diagnosis and Prognostic Monitoring of Oral and Systemic Cancers.

Martin Grootveld, Benita C Percival, Georgina Page, Kayleigh Hunwin, Mohammed Bhogadia, Wyman Chan, Mark Edgar

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Biological biomarkers of oral cancer.Periodontology 2000 · 2024
    Review
  4. Article
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Martin GrootveldLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.ORCID 0000-0003-1502-3734
Benita C PercivalLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.ORCID 0000-0002-8769-8979
Georgina PageLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
Kayleigh HunwinLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
Mohammed BhogadiaLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.ORCID 0000-0002-6522-2961
Wyman ChanSmileStudio (UK) Ltd., 1st Floor Wingate House, 93-107 Shaftesbury Avenue, London W1D 8BT, UK.
Mark EdgarLeicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
De Montfort University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human saliva offers many advantages over other biofluids regarding its use and value as a bioanalytical medium for the identification and prognostic monitoring of human diseases, mainly because its collection is largely non-invasive, is relatively cheap, and does not require any major clinical supervision, nor supervisory input. Indeed, participants donating this biofluid for such purposes, including the identification, validation and quantification of surrogate biomarkers, may easily self-collect such samples in their homes following the provision of full collection details to them by researchers. In this report, the authors have focused on the applications of metabolomics technologies to the diagnosis and progressive severity monitoring of human cancer conditions, firstly oral cancers (e.g., oral cavity squamous cell carcinoma), and secondly extra-oral (systemic) cancers such as lung, breast and prostate cancers. For each publication reviewed, the authors provide a detailed evaluation and critical appraisal of the experimental design, sample size, ease of sample collection (usually but not exclusively as whole mouth saliva (WMS)), their transport, length of storage and preparation for analysis. Moreover, recommended protocols for the optimisation of NMR pulse sequences for analysis, along with the application of methods and techniques for verifying and resonance assignments and validating the quantification of biomolecules responsible, are critically considered. In view of the authors' specialisms and research interests, the majority of these investigations were conducted using NMR-based metabolomics techniques. The extension of these studies to determinations of metabolic pathways which have been pathologically disturbed in these diseases is also assessed here and reviewed. Where available, data for the monitoring of patients' responses to chemotherapeutic treatments, and in one case, radiotherapy, are also evaluated herein. Additionally, a novel case study featured evaluates the molecular nature, levels and diagnostic potential of

Indexed as

19F NMR analysis1H NMR analysischemical pathologydiagnosisGlycA and GlycB biomarkersmetabolomicsNMR-based metabolomicsoral cancersprognostic monitoringsalivasystemic cancers

Identifiers

PMID36144183
PMCPMC9505390
OpenAlexW4293220976

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.