Evidence map›Paper›PMID 26329905›Full record

ReviewBiomarkers in medicine2015

Translational metabolomics in cancer research.

Nathaniel W Snyder, Clementina Mesaros, Ian A Blair

Abstract readReview
In one paragraph

Review in Biomarkers in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Reliable identification of prostate cancer using mass spectrometry metabolomic imaging in needle core biopsies.Laboratory investigation; a journal of technical methods and pathology · 2019
    Article
  7. Article
  8. A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Review
  9. 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

3 authors.

Nathaniel W SnyderPenn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA.
Clementina MesarosPenn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA.
Ian A BlairPenn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Environmental Science Project 3 - Social Determinants of Risk and Attitudes AboutP42ES023720 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI BLAIR, IAN ALEXANDER · 2014 to 2018
$11.3M
Development of Breast Cancer Risk Model Based on Estrogen MetabolomicsR01CA158328 · NCI · UNIVERSITY OF VIRGINIA · PI BLAIR, IAN ALEXANDER, HEITJAN, DANIEL FRANCIS · 2012 to 2013
$779k
NCI NIH HHS P30 CA016520NCI NIH HHS P30CA016520NCI NIH HHS R01 CA158328NCI NIH HHS R01CA158328NIEHS NIH HHS P30 ES013508NIEHS NIH HHS P30ES013508NIEHS NIH HHS P30ES023720NIEHS NIH HHS P42 ES023720
6 · The paper itself

Abstract

Over the last decade there has been a bottleneck in the introduction of new validated cancer metabolic biomarkers into clinical practice. Unfortunately, there are no biomarkers with adequate sensitivity for the early detection of cancer, and there remain a reliance on cancer antigens for monitoring treatment. The need for new diagnostics has led to the exploration of untargeted metabolomics for discovery of early biomarkers of specific cancers and targeted metabolomics to elucidate mechanistic aspects of tumor progression. The successful translation of such strategies to the treatment of cancer would allow earlier intervention to improve survival. We have reviewed the methodology that is being used to achieve these goals together with recent advances in implementing translational metabolomics in cancer.

Indexed as

HumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsNeoplasmsTranslational Research, Biomedicalcancercancer diagnosisdiagnostic biomarkerslipidomicsliquid chromatography-mass spectrometryNMR spectroscopyprognostic biomarkersuntargeted metabolomics targeted metabolomics

Identifiers

PMID26329905
PMCPMC4718447

What OpenQuestion holds

Textmetadata
LicenceTDM
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.