Evidence map›Paper›PMID 25051409›Full record

ArticleBritish journal of cancer2014

Unique volatolomic signatures of TP53 and KRAS in lung cells.

M P A Davies, O Barash, R Jeries, N Peled, M Ilouze, R Hyde, M W Marcus, J K Field, H Haick

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Metabolomics and Biomarker Discovery.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Pursuit of Noninvasive Diagnosis of Lung Cancer.Seminars in respiratory and critical care medicine · 2016
    Review
  14. Review
  15. Article
  16. 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

9 authors at 3 institutions in 2 countries.

M P A DaviesMolecular and Clinical Cancer Medicine, University of Liverpool, Cancer Research Centre, 200 London Road, Liverpool, L3 9TA, UK.
O BarashDepartment of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.
R JeriesDepartment of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.
N PeledTel-Aviv University and Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer 52621, Israel.
M IlouzeTel-Aviv University and Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer 52621, Israel.
R HydeMolecular and Clinical Cancer Medicine, University of Liverpool, Cancer Research Centre, 200 London Road, Liverpool, L3 9TA, UK.
M W MarcusMolecular and Clinical Cancer Medicine, University of Liverpool, Cancer Research Centre, 200 London Road, Liverpool, L3 9TA, UK.
J K FieldMolecular and Clinical Cancer Medicine, University of Liverpool, Cancer Research Centre, 200 London Road, Liverpool, L3 9TA, UK.
H HaickDepartment of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.
University of Liverpool · GBTechnion – Israel Institute of Technology · ILSheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVolatile organic compounds (VOCs) are potential biomarkers for cancer detection in breath, but it is unclear if they reflect specific mutations. To test this, we have compared human bronchial epithelial cell (HBEC) cell lines carrying the KRAS(V12) mutation, knockdown of TP53 or both with parental HBEC cells.

methodsVOC from headspace above cultured cells were collected by passive sampling and analysed by thermal desorption gas chromatography mass spectrometry (TD-GC-MS) or sensor array with discriminant factor analysis (DFA).

resultsIn TD-GC-MS analysis, individual compounds had limited ability to discriminate between cell lines, but by applying DFA analysis combinations of 20 VOCs successfully discriminated between all cell types (accuracies 80-100%, with leave-one-out cross validation). Sensor array detection DFA demonstrated the ability to discriminate samples based on their cell type for all comparisons with accuracies varying between 77% and 93%.

conclusionsOur results demonstrate that minimal genetic changes in bronchial airway cells lead to detectable differences in levels of specific VOCs identified by TD-GC-MS or of patterns of VOCs identified by sensor array output. From the clinical aspect, these results suggest the possibility of breath analysis for detection of minimal genetic changes for earlier diagnosis or for genetic typing of lung cancers.

Indexed as

AirArtificial IntelligenceBronchiCells, CulturedDiscriminant AnalysisEpithelial CellsGas Chromatography-Mass SpectrometryGene Knockdown TechniquesHumansLung NeoplasmsMicroarray AnalysisMutationProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsTumor Suppressor Protein p53KRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsTumor Suppressor Protein p53Volatile Organic Compounds

Identifiers

PMID25051409
PMCPMC4453850
OpenAlexW2122479103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.