Evidence map›Paper›PMID 21079799›Full record

ArticlePloS one2010

Differential volatile signatures from skin, naevi and melanoma: a novel approach to detect a pathological process.

Tatjana Abaffy, Robert Duncan, Daniel D Riemer, Olaf Tietje, George Elgart, Clara Milikowski, R Anthony DeFazio

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
4.8field-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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Reflectance confocal microscopy for diagnosing cutaneous melanoma in adults.The Cochrane database of systematic reviews · 2018
    Pooled it
  3. Optical coherence tomography for diagnosing skin cancer in adults.The Cochrane database of systematic reviews · 2018
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.International journal of molecular sciences · 2023
    Review
  8. Review
  9. Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Review
  12. Profiles of Volatile Biomarkers Detect Tuberculosis from Skin.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Solid-phase microextraction technology forTrends in analytical chemistry : TRAC · 2016
    Article
  18. Article
  19. Review of mass spectrometry-based metabolomics in cancer research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  20. 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.

Tatjana AbaffyMolecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, Florida, United States of America. tabaffy@med.miami.edu
Robert Duncan
Daniel D Riemer
Olaf Tietje
George Elgart
Clara Milikowski
R Anthony DeFazio
University of Miami · US

Funding

Detection of Melanoma by Canine Olfactory Receptors.R21CA132046 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ABAFFY, TATJANA · 2008 to 2009
$379k
NCI NIH HHS R21 CA132046NCI NIH HHS R21CA 132046
6 · The paper itself

Abstract

backgroundEarly detection of melanoma is of great importance to reduce mortality. Discovering new melanoma biomarkers would improve early detection and diagnosis. Here, we present a novel approach to detect volatile compounds from skin. METHODS AND

findingsWe used Head Space Solid Phase Micro-Extraction (HS-SPME) and gas chromatography/mass spectrometry (GC/MS) to identify volatile signatures from melanoma, naevi and skin samples. We hypothesized that the metabolic state of tissue alters the profile of volatile compounds. Volatiles released from fresh biopsy tissue of melanoma and benign naevus were compared based on their difference in frequency distribution and their expression level. We also analyzed volatile profiles from frozen tissue, including skin and melanoma.

conclusionsThree volatiles, 4-methyl decane, dodecane and undecane were preferentially expressed in both fresh and frozen melanoma, indicating that they are candidate biomarkers. Twelve candidate biomarkers evaluated by fuzzy logic analysis of frozen samples distinguished melanoma from skin with 89% sensitivity and 90% specificity. Our results demonstrate proof-of-principle that there is differential expression of volatiles in melanoma. Our volatile metabolomic approach will lead to a better understanding of melanoma and can enable development of new diagnostic and treatment strategies based on altered metabolism.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorDiagnosis, DifferentialEarly DiagnosisFemaleFuzzy LogicGas Chromatography-Mass SpectrometryHumansMaleMelanomaMetabolomeMetabolomicsMiddle AgedNevusBiomarkers, TumorVolatile Organic Compounds

Identifiers

PMID21079799
PMCPMC2973952
OpenAlexW2066609193

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.