Abstract
Simple SummarySalivary gland tumors (SGTs) are a group of rare tumors that vary in clinical and histological behavior. Histological classification is difficult and requires an experienced pathologist. Based on recent research in other medical fields, this study investigated the value of near-infrared (NIR) spectroscopy in the diagnosis of SGTs supplementary to the histological investigation. The acquired spectra were analyzed with chemometric techniques. Enzymatic treatment (neuraminidase) resulted in spectral peak differences between healthy controls and different SGT types. Some malignant SGTs had higher spectral changes, suggesting bigger alterations in glycosylation of salivary mucins. Future biochemical research based on the further enzymatic dissection of SGTs and infrared spectroscopy could help pathologists to better understand the nature of these types of tumors.SGTs vary in histological behavior. Mucins, a major component in salivary glands, consist of a glycosylated and sialylated protein core. Rapid evolutions in glycobiology have demonstrated the important role of glycoproteins in cancer development. NIR spectroscopy is a method for the biochemical analysis of substrates. NIR spectra can be analyzed using specific chemometrics. Our aim was to explore the diagnostic possibilities of NIR spectroscopy in SGTs. 238 Hematoxylin and Eosine stained (H&E) SGT tissue sections were examined using NIR spectroscopy. 45 deparaffinized tissue sections were treated with neuraminidase to identify wavelengths in the NIR spectrum related to sialylation. NIR spectra were analyzed with chemometrics. NIR spectra could distinguish malignant SGTs from controls and benign SGTs. Prediction models based on the entire spectral range resulted in a 73.1% accurate classification of malignant SGTs and controls, while, based on neuraminidase experimental spectral peak differences (1436 nm; 1713 nm; 1783 nm; 1924 nm; 2032 nm; 2064 nm; 2178 nm; 2216 nm), an improved overall correct classification rate of 91.9% was obtained between healthy subjects and malignant tumors. H&E tissue section-based NIR spectroscopy can identify malignant SGTs from controls, promising an alternative method in the diagnosis of SGTs.
Highlights
SGTs are an uncommon, heterogeneous group of neoplasms that vary considerably in their anatomic site of origin, histology, and biologic behavior
The preprocessed NIR spectra are presented for the spectra according to standardized normalized variates (SNV; Figure 1A); according to standard normal variate method (SNV), S-G algorithm
The current study aimed to explore the potential of NIR spectroscopy for identifying a biochemical signature of SGTs on Hematoxylin and Eosine stained (H&E) stained tissue sections and to compare these findings to the current histological classification
Summary
SGTs are an uncommon, heterogeneous group of neoplasms that vary considerably in their anatomic site of origin, histology, and biologic behavior. The most common types of SGTs are pleomorphic adenoma (benign), Whartin tumor (benign), mucoepidermoid carcinoma (malignant), and adenoid cystic carcinoma (malignant). Around 80% of SGTs are benign, and 65% of these are pleomorphic adenoma, which are by far the most common of all SGTs. SGTs are very rare with reported incidences of only 1.2–1.3 cases per 100,000, representing only around 3% of all cancers of the head and neck [3]
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call