Proteomics

Dataset Information

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Quantitative Label Free Ultra Definition Mass-Spectrometry Provides Novel Data on the Proteomic Signature of Oral Squamous Cell Carcinoma


ABSTRACT: There are no early detection biomarkers or prognostic markers for oral squamous cell carcinoma (OSCC) thus many are detected late, with unpredictable disease course. Using systems level analysis on shotgun proteomics with quantitative label-free ultra-definition mass spectrometry, our study aims to find novel proteins involved in both low and high grade OSCC tissue, and to further understand pathways involved in cancer development and progression, using proteomic analysis.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Tongue Epithelium

DISEASE(S): Head And Neck Squamous Cell Carcinoma

SUBMITTER: Sakari Joenväärä  

LAB HEAD: Suvi Renkonen

PROVIDER: PXD009244 | Pride | 2022-03-02

REPOSITORIES: Pride

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Publications

Label-free tissue proteomics can classify oral squamous cell carcinoma from healthy tissue in a stage-specific manner.

Dickinson Amy A   Saraswat Mayank M   Mäkitie Antti A   Silén Robert R   Hagström Jaana J   Haglund Caj C   Joenväärä Sakari S   Silén Suvi S  

Oral oncology 20181003


<h4>Objectives</h4>No prognostic or predictive biomarkers for oral squamous cell carcinoma (OSCC) exist. We aimed to discover novel proteins, altered in OSCC, to be further investigated as potential biomarkers, and to improve understanding about pathways involved in OSCC.<h4>Materials and methods</h4>Proteomic signatures of seven paired healthy and OSCC tissue samples were identified using ultra-definition quantitative mass spectrometry, then analysed and compared using Anova, principal componen  ...[more]

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