Evidence map›Paper›PMID 28685691›Full record

ReviewCurrent topics in medicinal chemistry2017

Metabolomics Applications in Precision Medicine: An Oncological Perspective.

Leonor Puchades-Carrasco, Antonio Pineda-Lucena

Open access · bronzeAbstract readReview
In one paragraph

Review in Current topics in medicinal chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Decoding the mechanisms behind second primary cancers.Journal of translational medicine · 2025
    Review
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  13. Precision medicine journey through omics approach.Journal of diabetes and metabolic disorders · 2022
    Review
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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

2 authors at 2 institutions in 1 country.

Leonor Puchades-CarrascoJoint Research Unit in Clinical Metabolomics, Centro de Investigación Príncipe Felipe / Instituto de Investigación Sanitaria La Fe, Valencia. Spain.
Antonio Pineda-LucenaDrug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Valencia. Spain.
Centro de Investigacion Principe Felipe · ESInstituto de Investigación Sanitaria La Fe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, cancer therapy remains limited by the conventional one-size-fits-all approach. In this context, treatment decisions are based on the clinical stage of disease but fail to ascertain the individual ´s underlying biology and its role in driving malignancy. The identification of better therapies for cancer treatment is thus limited by the lack of sufficient data regarding the characterization of specific biochemical signatures associated with each particular cancer patient or group of patients. Metabolomics approaches promise a better understanding of cancer, a disease characterized by significant alterations in bioenergetic metabolism, by identifying changes in the pattern of metabolite expression in addition to changes in the concentration of individual metabolites as well as alterations in biochemical pathways. These approaches hold the potential of identifying novel biomarkers with different clinical applications, including the development of more specific diagnostic methods based on the characterization of metabolic subtypes, the monitoring of currently used cancer therapeutics to evaluate the response and the prognostic outcome with a given therapy, and the evaluation of the mechanisms involved in disease relapse and drug resistance. This review discusses metabolomics applications in different oncological processes underlining the potential of this omics approach to further advance the implementation of precision medicine in the oncology area.

Indexed as

MetabolomicsPrecision MedicineHumansNeoplasmsBiomarkerMetabolomicsNMROncologyPLS-DA.Precision medicine

Identifiers

PMID28685691
PMCPMC5652075
OpenAlexW2752579523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.