全面分析谷胱甘肽 S 转化酶 Mu 家族成员在乳腺癌中的预后价值。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-06-23 DOI:10.1002/cbin.12195
Nazanin Gohari, Elham Abbasi, Hassan Akrami
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引用次数: 0

摘要

乳腺癌(BC)仍然是全球关注的重大公共卫生问题,每年都有大量的病例报告和大量的死亡病例。活性氧(ROS)的积累和氧化应激与乳腺癌有关,而谷胱甘肽 S-转移酶 Mu(GSTM)家族是与许多癌症相关的最重要的酶解毒剂之一。本研究利用 UALCAN、Kaplan-Meier plotter、bc-GenExMiner、cBioPortal、STRING、Enrichr 和 TIMER 数据库进行了全面的生物信息学分析,为 GSTMs 在 BC 中的预后价值提供了新的见解。研究发现,与正常组织相比,GSTM2-5基因在乳腺肿瘤中的mRNA和蛋白质水平表达较低,而mRNA水平的降低与较短的总生存期(OS)和无复发生存期(RFS)有关。较低的 GSTMs mRNA 水平与较差的 Scarff-Bloom-Richardson (SBR) 等级(p + T 细胞)密切相关(Cor= .234, p = 2.22e-13)。总之,我们的研究结果表明,GSTM 家族成员可能有助于作为预后的生物标志物和 BC 的治疗靶点。
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Comprehensive analysis of the prognostic value of glutathione S-transferases Mu family members in breast cancer

Breast cancer (BC) remains a significant public health concern globally, with a high number of reported cases and a substantial number of deaths every year. Accumulating reactive oxygen species (ROS) and oxidative stress are related to BC and the Glutathione S-transferases Mu (GSTM) family is one of the most important enzymatic detoxifiers associated with many cancers. In this study, UALCAN, Kaplan-Meier plotter, bc-GenExMiner, cBioPortal, STRING, Enrichr, and TIMER databases were employed to carry out a comprehensive bioinformatic analysis and provide new insight into the prognostic value of GSTMs in BC. GSTM2-5 genes in mRNA and protein levels were found to be expressed at lower levels in breast tumors compared to normal tissues, and reduction in mRNA levels is linked to shorter overall survival (OS) and relapse-free survival (RFS). The lower mRNA levels of GSTMs were strongly associated with the worse Scarff-Bloom-Richardson (SBR) grades (p < 0.0001). The mRNA levels of all five GSTMs were substantially higher in estrogen receptor (ER)-positive and progesterone receptor (PR)-positive compared to ER-negative and PR-negative BC patients. As well, when nodal status was compared, GSTM1, GSTM3, and GSTM5 were significantly higher in nodal-positive BC patients (p < .01). Furthermore, GSTM4 had the most gene alteration (4%) among other family members, and GSTM5 showed the strongest correlation with CD4+ T cells (Cor= .234, p = 2.22e-13). In conclusion, our results suggest that GSTM family members may be helpful as biomarkers for prognosis and as therapeutic targets in BC.

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