Evidence map›Paper›PMID 31049200›Full record

ArticleCancer & metabolism2019

Stratification of cancer and diabetes based on circulating levels of formate and glucose.

Matthias Pietzke, Salvador Fernandez Arroyo, David Sumpton, Gillian M Mackay, Begoña Martin-Castillo, Jordi Camps, Jorge Joven, Javier A Menendez, Alexei Vazquez, METTEN study group

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  7. Review
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  9. Review
  10. Formate Might Be a Novel Potential Serum Metabolic Biomarker for Type 2 Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  11. Article
  12. Article
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  15. Metabolomics Based onFoods (Basel, Switzerland) · 2021
    Article
  16. Review
  17. Article
  18. Article
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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 5 institutions in 2 countries.

Matthias Pietzke *1Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK.
Salvador Fernandez Arroyo *2Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain.
David Sumpton1Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK.
Gillian M Mackay1Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK.
Begoña Martin-Castillo3Unit of Clinical Research, Catalan Institute of Oncology, Girona, Spain.
Jordi Camps2Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain.
Jorge Joven2Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain.
Javier A Menendez4ProCURE (Program Against Cancer Therapeutic Resistance), Metabolism & Cancer Group, Catalan Institute of Oncology, Girona, Catalonia Spain.
Alexei Vazquez1Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK.ORCID 0000-0003-2764-3244
METTEN study group
Cancer Research UK · GBCatalan Institute for Water Research · ESInstitut Català d'Oncologia · ESInstitut de Recerca Biomèdica Catalunya Sud · ESCancer Research UK Scotland Institute · GB

Funding

Cancer Research UK 21140
6 · The paper itself

Abstract

backgroundSerum and urine metabolites have been investigated for their use as cancer biomarkers. The specificity of candidate metabolites can be limited by the impact of other disorders on metabolite levels. In particular, the increasing incidence of obesity could become a significant confounding factor.

methodsHere we developed a multinomial classifier for the stratification of cancer, obesity and healthy phenotypes based on circulating glucose and formate levels. We quantified the classifier performance from the retrospective analysis of samples from breast cancer, lung cancer, obese individuals and healthy controls.

resultsWe discovered that circulating formate levels are significantly lower in breast and lung cancer patients than in healthy controls. However, the performance of a cancer classifier based on formate levels alone is limited because obese patients also have low serum formate levels. By introducing a multinomial classifier based on circulating glucose and formate levels, we were able to improve the classifier performance, reaching a true positive rate of 79% with a false positive rate of 8%.

conclusionsCirculating formate is reduced in HER2+ breast cancer, non-small cell lung cancer and highly obese patients relative to healthy controls. Further studies are required to determine the relevance of these observations in other cancer types and diseases.

Indexed as

BiomarkerCancerFormateObesitySerum metabolomics

Identifiers

PMID31049200
PMCPMC6482583
OpenAlexW2947683275

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.