Tracking of the biochemical changes upon pleomorphic adenoma progression using vibrational microspectroscopy

Author:

Paluszkiewicz CzesławaORCID,Roman MaciejORCID,Piergies NataliaORCID,Pięta EwaORCID,Woźniak MonikaORCID,Guidi Mariangela CestelliORCID,Miśkiewicz-Orczyk KatarzynaORCID,Marków MagdalenaORCID,Ścierski WojciechORCID,Misiołek MaciejORCID,Drozdzowska BognaORCID,Kwiatek Wojciech M.ORCID

Abstract

AbstractHead and neck tumors can be very challenging to treat because of the risk of problems or complications after surgery. Therefore, prompt and accurate diagnosis is extremely important to drive appropriate treatment decisions, which may reduce the chance of recurrence. This paper presents the original research exploring the feasibility of Fourier transform infrared (FT-IR) and Raman spectroscopy (RS) methods to investigate biochemical alterations upon the development of the pleomorphic adenoma. Principal component analysis (PCA) was used for a detailed assessment of the observed changes and to determine the spectroscopic basis for salivary gland neoplastic pathogenesis. It is implied that within the healthy margin, as opposed to the tumoral tissue, there are parts that differ significantly in lipid content. This observation shed new light on the crucial role of lipids in tissue physiology and tumorigenesis. Thus, a novel approach that eliminates the influence of lipids on the elucidation of biochemical changes is proposed. The performed analysis suggests that the highly heterogeneous healthy margin contains more unsaturated triacylglycerols, while the tumoral section is rich in proteins. The difference in protein content was also observed for these two tissue types, i.e. the healthy tissue possesses more proteins in the anti-parallel β-sheet conformation, whereas the tumoral tissue is dominated by proteins rich in unordered random coils. Furthermore, the pathogenic tissue shows a higher content of carbohydrates and reveals noticeable differences in nucleic acid content. Finally, FT-IR and Raman spectroscopy methods were proposed as very promising methods in the discrimination of tumoral and healthy tissues of the salivary gland.

Funder

Horizon 2020 Framework Programme

Małopolska Regional Operational Program

Śląski Uniwersytet Medyczny

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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