Evidence map›Paper›PMID 29078250›Full record

ArticleRapid communications in mass spectrometry : RCM2018

Feasibility of desorption electrospray ionization mass spectrometry for diagnosis of oral tongue squamous cell carcinoma.

Cedric D'Hue, Michael Moore, Don-John Summerlin, Alan Jarmusch, Clint Alfaro, Avinash Mantravadi, Arnaud Bewley, D Gregory Farwell, R Graham Cooks

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Cedric D'HueDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907-2084, USA.
Michael MooreComprehensive Cancer Center, Department of Otolaryngology-Head and Neck Surgery, University of California at Davis, 2521 Stockton Blvd., Suite 7200, Sacramento, CA, 95817, USA.
Don-John SummerlinIndiana University Health Pathology Laboratory, 350 West 11th Street, Room 4022, Indianapolis, IN, 46202-4108, USA.
Alan JarmuschDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907-2084, USA.
Clint AlfaroDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907-2084, USA.
Avinash MantravadiIndiana University Department of Otolaryngology-Head and Neck Surgery, 550 N. University Blvd., Rm 3170, Indianapolis, IN, 46202, USA.
Arnaud BewleyComprehensive Cancer Center, Department of Otolaryngology-Head and Neck Surgery, University of California at Davis, 2521 Stockton Blvd., Suite 7200, Sacramento, CA, 95817, USA.
D Gregory FarwellComprehensive Cancer Center, Department of Otolaryngology-Head and Neck Surgery, University of California at Davis, 2521 Stockton Blvd., Suite 7200, Sacramento, CA, 95817, USA.
R Graham CooksDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907-2084, USA.ORCID http://orcid.org/0000-0002-9581-9603
Purdue University West Lafayette · USUniversity of California, Davis · USIndiana University Health · USIndiana University – Purdue University Indianapolis · US

Funding

Development of a Point-of-Care Mass Spectrometry Analysis SystemR01GM106016 · NIGMS · PURDUE UNIVERSITY · PI OUYANG, ZHENG · 2013 to 2016
$1.1M
Desorption Electrospray Ionization Mass Spectrometry Imaging in Clinical DiagnostR21EB015722 · NIBIB · PURDUE UNIVERSITY · PI COOKS, ROBERT GRAHAM · 2013 to 2014
$388k
NIBIB NIH HHS R21 EB015722NIGMS NIH HHS R01 GM106016
6 · The paper itself

Abstract

rationaleDesorption electrospray ionization mass spectrometry (DESI-MS) has demonstrated utility in differentiating tumor from adjacent normal tissue in both urologic and neurosurgical specimens. We sought to evaluate if this technique had similar accuracy in differentiating oral tongue squamous cell carcinoma (SCC) from adjacent normal epithelium due to current issues with late diagnosis of SCC in advanced stages.

methodsFresh frozen samples of SCC and adjacent normal tissue were obtained by surgical resection. Resections were analyzed using DESI-MS sometimes by a blinded technologist. Normative spectra were obtained for separate regions containing SCC or adjacent normal epithelium. Principal Component Analysis and Linear Discriminant Analysis (PCA-LDA) of spectra were used to predict SCC versus normal tongue epithelium. Predictions were compared with pathology to assess accuracy in differentiating oral SCC from adjacent normal tissue.

resultsInitial PCA score and loading plots showed clear separation of SCC and normal epithelial tissue using DESI-MS. PCA-LDA resulted in accuracy rates of 95% for SCC versus normal and 93% for SCC, adjacent normal and normal. Additional samples were blindly analyzed with PCA-LDA pixel-by-pixel predicted classifications as SCC or normal tongue epithelial tissue and compared against histopathology. The m/z 700-900 prediction model showed a 91% accuracy rate.

conclusionsDESI-MS accurately differentiated oral SCC from adjacent normal epithelium. Classification of all typical tissue types and pixel predictions with additional classifications should increase confidence in the validation model.

Indexed as

Carcinoma, Squamous CellDiscriminant AnalysisHumansPrincipal Component AnalysisSpectrometry, Mass, Electrospray IonizationTongue NeoplasmsTumor Burden

Identifiers

PMID29078250
PMCPMC5757369
OpenAlexW2765918799

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.