Feasibility of Desorption Electrospray Ionization Mass Spectrometry for Diagnosis of Oral Tongue Squamous Cell Carcinoma

dc.contributor.authorD'Hue, Cedric
dc.contributor.authorMoore, Michael
dc.contributor.authorSummerlin, Don-John
dc.contributor.authorJarmusch, Alan
dc.contributor.authorAlfaro, Clint
dc.contributor.authorMantravadi, Avinash
dc.contributor.authorBewley, Arnaud
dc.contributor.authorFarwell, D. Gregory
dc.contributor.authorCooks, R. Graham
dc.contributor.departmentPathology and Laboratory Medicine, School of Medicineen_US
dc.date.accessioned2017-12-21T19:51:15Z
dc.date.available2017-12-21T19:51:15Z
dc.date.issued2017
dc.description.abstractRationale Desorption 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. Methods Fresh 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. Results Initial 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. Conclusions DESI-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.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationD'Hue, C., Moore, M., Summerlin, D. J., Jarmusch, A., Alfaro, C., Mantravadi, A., ... & Graham Cooks, R. (2017). Feasibility of Desorption Electrospray Ionization Mass Spectrometry for Diagnosis of Oral Tongue Squamous Cell Carcinoma. Rapid Communications in Mass Spectrometry, 32(2), 133-141. https://doi.org/10.1002/rcm.8019en_US
dc.identifier.urihttps://hdl.handle.net/1805/14880
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1002/rcm.8019en_US
dc.relation.journalRapid Communications in Mass Spectrometryen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectambient ionizationen_US
dc.subjectmass spectrometryen_US
dc.subjectdesorption electrospray ionizationen_US
dc.titleFeasibility of Desorption Electrospray Ionization Mass Spectrometry for Diagnosis of Oral Tongue Squamous Cell Carcinomaen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
D'Hue_2017_feasibility.pdf
Size:
943.48 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: