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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging. / Bernardo, Ricardo Alves; de Oliveira Júnior, Charles Ivo; Roque, Jussara Valente; Costa, Nádia do Lago; Roriz, Virgílio Moreira; Sorgi, Carlos Arterio; Janfelt, Christian; Vaz, Boniek Gontijo; Chaves, Andréa Rodrigues.

In: Journal of Proteome Research, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Bernardo, RA, de Oliveira Júnior, CI, Roque, JV, Costa, NDL, Roriz, VM, Sorgi, CA, Janfelt, C, Vaz, BG & Chaves, AR 2023, 'Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging', Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.3c00216

APA

Bernardo, R. A., de Oliveira Júnior, C. I., Roque, J. V., Costa, N. D. L., Roriz, V. M., Sorgi, C. A., Janfelt, C., Vaz, B. G., & Chaves, A. R. (Accepted/In press). Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging. Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.3c00216

Vancouver

Bernardo RA, de Oliveira Júnior CI, Roque JV, Costa NDL, Roriz VM, Sorgi CA et al. Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging. Journal of Proteome Research. 2023. https://doi.org/10.1021/acs.jproteome.3c00216

Author

Bernardo, Ricardo Alves ; de Oliveira Júnior, Charles Ivo ; Roque, Jussara Valente ; Costa, Nádia do Lago ; Roriz, Virgílio Moreira ; Sorgi, Carlos Arterio ; Janfelt, Christian ; Vaz, Boniek Gontijo ; Chaves, Andréa Rodrigues. / Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging. In: Journal of Proteome Research. 2023.

Bibtex

@article{09e01e0c3f5941feb693fc762cdd3c9c,
title = "Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging",
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-1, r2 > 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.",
keywords = "analytical performance, lipid extraction, mass spectrometry, multiomics analysis",
author = "Bernardo, {Ricardo Alves} and {de Oliveira J{\'u}nior}, {Charles Ivo} and Roque, {Jussara Valente} and Costa, {N{\'a}dia do Lago} and Roriz, {Virg{\'i}lio Moreira} and Sorgi, {Carlos Arterio} and Christian Janfelt and Vaz, {Boniek Gontijo} and Chaves, {Andr{\'e}a Rodrigues}",
note = "Publisher Copyright: {\textcopyright} 2023 American Chemical Society.",
year = "2023",
doi = "10.1021/acs.jproteome.3c00216",
language = "English",
journal = "Journal of Proteome Research",
issn = "1535-3893",
publisher = "American Chemical Society",

}

RIS

TY - JOUR

T1 - Oral Squamous Cell Carcinoma Lipid Evaluation in Gingiva Tissue Stored in TRIzol via Shotgun Lipidomics and MALDI Mass Spectrometry Imaging

AU - Bernardo, Ricardo Alves

AU - de Oliveira Júnior, Charles Ivo

AU - Roque, Jussara Valente

AU - Costa, Nádia do Lago

AU - Roriz, Virgílio Moreira

AU - Sorgi, Carlos Arterio

AU - Janfelt, Christian

AU - Vaz, Boniek Gontijo

AU - Chaves, Andréa Rodrigues

N1 - Publisher Copyright: © 2023 American Chemical Society.

PY - 2023

Y1 - 2023

N2 - 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-1, r2 > 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.

AB - 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-1, r2 > 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.

KW - analytical performance

KW - lipid extraction

KW - mass spectrometry

KW - multiomics analysis

U2 - 10.1021/acs.jproteome.3c00216

DO - 10.1021/acs.jproteome.3c00216

M3 - Journal article

C2 - 37830917

AN - SCOPUS:85177226918

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

ER -

ID: 374524301