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Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging.

Authors :
Bernardo RA
de Oliveira Júnior CI
Roque JV
Costa NDL
Roriz VM
Sorgi CA
Janfelt C
Vaz BG
Chaves AR
Source :
Journal of proteome research [J Proteome Res] 2024 Aug 02; Vol. 23 (8), pp. 2750-2761. Date of Electronic Publication: 2023 Oct 13.
Publication Year :
2024

Abstract

Oral squamous cell carcinoma (OSCC) is the prevalent type of oral cavity cancer, requiring precise, accurate, and affordable diagnosis to identify the disease in early stages, Comprehending the differences in lipid profiles between healthy and cancerous tissues encompasses great relevance in identifying biomarker candidates and enhancing the odds of successful cancer treatment. Therefore, the present study evaluates the analytical performance of simultaneous mRNA and lipid extraction in gingiva tissue from healthy patients and patients diagnosed with OSCC preserved in TRIzol reagent. The data was analyzed by partial least-squares discriminant analysis (PLS-DA) and confirmed via matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). The lipid extraction in TRIzol solution was linear in a range from 330 to 2000 ng mL <superscript>-1</superscript> , r <superscript>2</superscript> > 0.99, intra and interday precision and accuracy <15%, and absolute recovery values ranging from 90 to 110%. The most important lipids for tumor classification were evaluated by MALDI-MSI, revealing that the lipids responsible for distinguishing the OSCC group are more prevalent in the cancerous tissue in contrast to the healthy group. The results exhibit the possibilities to do transcriptomic and lipidomic analyses in the same sample and point out important candidates related to the presence of OSCC.

Details

Language :
English
ISSN :
1535-3907
Volume :
23
Issue :
8
Database :
MEDLINE
Journal :
Journal of proteome research
Publication Type :
Academic Journal
Accession number :
37830917
Full Text :
https://doi.org/10.1021/acs.jproteome.3c00216