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一项全面的生物信息学分析确定了乳腺癌中MEG3长链非编码RNA的肿瘤抑制格局。

A Comprehensive Bioinformatic Analysis Identifies a Tumor Suppressor Landscape of the MEG3 lncRNA in Breast Cancer.

作者信息

Ahmadi Alireza, Rezaei Abedeh, Khalaj-Kondori Mohammad, Khajehdehi Mina

机构信息

Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.

出版信息

Indian J Surg Oncol. 2024 Dec;15(4):752-761. doi: 10.1007/s13193-024-01992-0. Epub 2024 Jun 27.

Abstract

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.

摘要

乳腺癌(BC)是女性癌症死亡的主要原因,也是全球健康的重大风险。因此,需要有效的策略来进行快速诊断和治疗。如今,非编码RNA(ncRNAs),特别是长链非编码RNA(lncRNAs),在包括癌症在内的疾病的预后和诊断中发挥了重要作用。在本研究中,通过对包括lncRNADisease v2.0、OncoDB、InteractiVenn、GEPIA、RAID、COXPRESdb、DAVID v6.8、GEO2R和LncSEA在内的生物信息学工具进行研究,我们提出母系表达基因(MEG3)作为BC的潜在生物标志物。这种lncRNA在BC中显著下调,并且与肿瘤大小、转移和病理分期相关。MEG3在几种原发性人类癌症和肿瘤细胞系中表达下调,这增加了它可能作为肿瘤抑制因子的可能性。结果表明,MEG3可能在包括凋亡在内的基本途径中发挥关键作用,并与P53等重要基因和蛋白质相互作用。它也可能与BC的预后、增殖、迁移、侵袭和转移有关。

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