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Fereidouni, Kiarash, Hamedani, Shahram. (1405). Exploratory Identification of a Three-Gene mRNA Exploratory Model for Mucoepidermoid Carcinoma Using Public RNA-Seq Data. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/dentjods.2026.111230.3021
Kiarash Fereidouni; Shahram Hamedani. "Exploratory Identification of a Three-Gene mRNA Exploratory Model for Mucoepidermoid Carcinoma Using Public RNA-Seq Data". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.30476/dentjods.2026.111230.3021
Fereidouni, Kiarash, Hamedani, Shahram. (1405). 'Exploratory Identification of a Three-Gene mRNA Exploratory Model for Mucoepidermoid Carcinoma Using Public RNA-Seq Data', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/dentjods.2026.111230.3021
Fereidouni, Kiarash, Hamedani, Shahram. Exploratory Identification of a Three-Gene mRNA Exploratory Model for Mucoepidermoid Carcinoma Using Public RNA-Seq Data. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.30476/dentjods.2026.111230.3021

Exploratory Identification of a Three-Gene mRNA Exploratory Model for Mucoepidermoid Carcinoma Using Public RNA-Seq Data

Journal of Dentistry
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 15 شهریور 1405
نوع مقاله: Short Communication
شناسه دیجیتال (DOI): 10.30476/dentjods.2026.111230.3021
نویسندگان
Kiarash Fereidouni* 1؛ Shahram Hamedani2
1Orthodontic Research Center, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran
2Oral and Dental Disease Research Center, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Mucoepidermoid carcinoma (MEC) is the most common malignant salivary gland tumor; howev-er, comprehensive molecular models that distinguish MEC from normal parotid tissue remain poorly defined. This study aimed to identify and internally evaluate a compact candidate expres-sion signature distinguishing MEC from normal parotid tissue using a single public RNA-sequencing cohort. RNA-sequencing data from GSE282430, including 21 MEC and 6 normal pa-rotid samples, were analyzed using differential expression analysis and Hallmark pathway en-richment. Recently published MEC-related gene signatures were reconstructed, harmonized, and intersected with the cohort. Logistic regression and least absolute shrinkage and selection operator (LASSO) regression were then used to evaluate tumor-versus-normal discrimination and derive a compact panel. A total of 385 genes were differentially expressed between MEC and normal tis-sue. A literature-derived union panel of 27 genes achieved an area under the receiver operating characteristic curve (AUC) of 1.00 for distinguishing MEC from normal parotid tissue. LASSO-based reduction yielded an exploratory three-gene signature comprising MLXIPL, POSTN, and SPP1, which showed an exploratory cross-validated AUC of 0.976. The selected genes represent complementary metabolic, stromal/extracellular matrix, and immune matrix processes, although functional interactions among them were not experimentally assessed. These findings support fur-ther investigation of this candidate signature, but external cross-platform validation and experi-mental confirmation are required before diagnostic or clinical interpretation.
کلیدواژه‌ها
Mucoepidermoid carcinoma؛ Parotid gland؛ RNA sequencing؛ Gene-expression signature؛ Tumor biomarkers
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