lncRNA MALAT1, MEG3, and PANDAR Levels may be Potential Diagnostic Biomarkers in Multiple Myeloma

Authors : Elvin ERÖKSÜZ ÖZDİNÇ, Kuyaş HEKİMLER ÖZTÜRK, Fadime MUTLU İÇDUYGU, Demircan ÖZBALCI

Pages : 587-93

Doi:10.37990/medr.1309886

View : 29 | Download : 40

Publication Date : 2023-09-18

Article Type : Research Paper

Abstract :Aim: Long non-coding RNAs insert ignore into journalissuearticles values(lncRNAs); play a significant role in the development of various diseases, including cancer, and have been investigated as potential diagnostic and prognostic markers. The specific mechanisms underlying their involvement in the progression and development of multiple myeloma insert ignore into journalissuearticles values(MM);, as well as their potential as diagnostic markers, remain to be fully elucidated. This study aimed to elucidate the involvement of lncRNAs in the pathogenesis of MM, explore their relationship with clinical parameters, and assess their potential as biomarkers for MM diagnosis. Material and Methods: Patients above 18 years of age, diagnosed with MM and not yet receiving treatment, were included in the study. The expression levels of three lncRNAs insert ignore into journalissuearticles values(MALAT1, PANDAR, MEG3); regulated by the p53 gene were determined in a study involving 19 patients diagnosed with MM and 20 healthy volunteers. The expression levels were determined using RT-PCR. Results: The levels of plasma lncRNAs were observed to be significantly down-regulated insert ignore into journalissuearticles values(p<0.05); in the patient group. No significant difference was observed between disease stages and the expression levels of the lncRNAs. There was a negative correlation between lncRNA expression levels and albumin levels insert ignore into journalissuearticles values(p=0.019; p=0.048; p=0.033, respectively);, while no significant associations were found with other clinicopathological characteristics. ROC analysis demonstrated that the plasma expression levels of lncRNAs had diagnostic value in predicting MM insert ignore into journalissuearticles values(AUC=0.729, p=0.015; AUC=0.742, p=0.010; AUC=0.703, p=0.031, respectively);. Conclusion: In conclusion, MALAT1, PANDAR and MEG3 may serve as novel biomarkers for MM patients. Furthermore, these lncRNAs may be potential drug targets in MM.
Keywords : Long non coding RNA, multiple myeloma, MALAT1, MEG3, PANDAR