Alireza Ahmadi, Abedeh Rezaei, Mohammad Khalaj-Kondori, Mina Khajehdehi
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A Comprehensive Bioinformatic Analysis Identifies a Tumor Suppressor Landscape of the MEG3 lncRNA in Breast Cancer.
Breast cancer (BC) is the leading cause of cancer mortality in women and a major risk to world health. Therefore, effective strategies are required for prompt diagnosis and treatment. Nowadays, non-coding RNAs (ncRNAs), particularly long ncRNAs (lncRNAs), have assumed a significant role in the prognosis and diagnosis of diseases, including cancer. In the present study, surveying the bioinformatic tools, including the lncRNADisease v2.0, OncoDB, InteractiVenn, GEPIA, RAID, COXPRESdb, DAVID v6.8, GEO2R, and LncSEA, we proposed the Maternally Expressed Gene (MEG3) as a potential biomarker in BC. This lncRNA significantly downregulates in BC and is associated with tumor size, metastasis, and pathological stage. MEG3 expression is downregulated in several types of primary human cancers and tumor cell lines, which raises the possibility that it could act as a tumor suppressor. The results suggest that MEG3 may play a crucial role in fundamental pathways, including apoptosis, and interact with essential genes and proteins such as P53. It may also be associated with the prognosis, proliferation, migration, invasion, and metastasis of BC.
期刊介绍:
The Indian Journal of Surgical Oncology aims to encourage and promote clinical and research activities pertaining to Surgical Oncology. It also aims to bring in the concept of multidisciplinary team approach in management of various cancers.
The Journal would publish original article, point of technique, review article, case report, letter to editor, profiles of eminent teachers, surgeons and instititions - a short (up to 500 words) of the Cancer Institutions, departments, and oncologist, who founded new departments.