You are in:Home/Publications/miRNAs orchestration of salivary gland cancer-Particular emphasis on diagnosis, progression, and drug resistance

Dr. Hussein Mohamed Elhusseiny Ali Elbayoumi :: Publications:

Title:
miRNAs orchestration of salivary gland cancer-Particular emphasis on diagnosis, progression, and drug resistance
Authors: Ahmed A El-Husseiny, Nourhan M Abdelmaksoud, ...., Hussein M El-Husseiny, ...., Walaa A El-Dakroury, Ahmed S Doghish
Year: 2023
Keywords: Not Available
Journal: Pathology-Research and Practice
Volume: 248
Issue: 154590
Pages: 154590
Publisher: Elsevier
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

Cancer of the salivary glands is one of the five major types of head and neck cancer. Due to radioresistance and a strong propensity for metastasis, the survival rate for nonresectable malignant tumors is dismal. Hence, more research is needed on salivary cancer's pathophysiology, particularly at the molecular level. The microRNAs (miRNAs) are a type of noncoding RNA that controls as many as 30% of all genes that code for proteins at the posttranscriptional level. Signature miRNA expression profiles have been established in several cancer types, suggesting a role for miRNAs in the incidence and progression of human malignancies. Salivary cancer tissues were shown to have significantly aberrant levels of miRNAs compared to normal salivary gland tissues, supporting the hypothesis that miRNAs play a crucial role in the carcinogenesis of salivary gland cancer (SGC). Besides, several SGC research articles reported potential biomarkers and therapeutic targets for the miRNA-based treatment of this malignancy. In this review, we will explore the regulatory impact of miRNAs on the processes underlying the molecular pathology of SGC and provide an up-to-date summary of the literature on miRNAs that impacted this malignancy. We will eventually share information about their possible use as diagnostic, prognostic, and therapeutic biomarkers in SGC.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus