Identification of SMC2 and SMC4 as prognostic markers in breast cancer through bioinformatics analysis.

IF 2.8 3区 医学 Q2 ONCOLOGY Clinical & Translational Oncology Pub Date : 2024-12-01 Epub Date: 2024-05-21 DOI:10.1007/s12094-024-03521-5
Lili Pei, Yu Li, Hao Gu, Siqi Wang, Wenhao Wu, Siyi Fan, Xiao Shi, Xinxin Si
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Abstract

Background: Breast cancer (BRCA) is one of the most common malignant tumors. The structural maintenance of chromosome (SMC) gene family has been shown to play an important role in human cancers. However, the role of SMC families in BRCA is unclear. This study aimed to explore the role and potential clinical value of whole SMCs in BRCA.

Methods: TIMER and UALCAN database were used to analysis the expression level. Genetic variations were analyzed by cBioPortal. Promoter methylation and protein level were analyzed by UCLCAN. GO and KEGG were analyzed by Metascape database. Prognostic value of SMCs was analyzed by Kaplan-Meier and multivariate cox regression analyses. Immune infiltration analysis was conducted by CIBERSORT. Immunotherapy outcome prediction was conducted by Cancer Immunome Atlas. Targeted drug therapy outcome prediction was taken by GDSC and R language. The cell viability was tested by CCK8 and migration was tested by wound healing assay. Xenograft model was used to investigate the in vivo role of SMC2.

Results: Expression levels of SMC1A, SMC2, SMC4, SMC5 and SMC6 mRNA were increased in BRCA tissues, and negatively correlated with promoter methylation. Overexpression of SMC2 and SMC4 was negatively correlated with survival. Function of SMCs family regulatory genes was mainly related to ATPase activity. Expression of most SMCs was negatively correlated with immunotherapy and drug therapy outcomes. Interfere SMC2 and SMC4 decreased IC50 values of 5-fluorouracil and oxaliplatin and inhibited the migration of MCF7 cells. Tumor growth and weights were significantly decreased in si-SMC2 groups.

Conclusions: Combined bioinformatics and clinical specimen analysis verified SMC2 and SMC4 as independent prognostic factors in BRCA, suggesting their significance for the diagnosis and treatment of BRCA.

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通过生物信息学分析确定乳腺癌预后标志物 SMC2 和 SMC4。
背景:乳腺癌(BRCA)是最常见的恶性肿瘤之一:乳腺癌(BRCA)是最常见的恶性肿瘤之一。染色体结构维护(SMC)基因家族已被证明在人类癌症中扮演重要角色。然而,SMC 家族在 BRCA 中的作用尚不清楚。本研究旨在探索整个 SMC 在 BRCA 中的作用和潜在临床价值:方法:使用 TIMER 和 UALCAN 数据库分析表达水平。遗传变异通过 cBioPortal 进行分析。启动子甲基化和蛋白质水平由 UCLCAN 分析。Metascape数据库分析了GO和KEGG。通过Kaplan-Meier和多变量Cox回归分析对SMCs的预后价值进行分析。免疫浸润分析由 CIBERSORT 进行。免疫治疗结果预测由癌症免疫组图谱(Cancer Immunome Atlas)进行。靶向药物治疗结果预测采用 GDSC 和 R 语言。用CCK8检测细胞活力,用伤口愈合试验检测细胞迁移。使用异种移植模型研究 SMC2 在体内的作用:结果:SMC1A、SMC2、SMC4、SMC5 和 SMC6 mRNA 在 BRCA 组织中的表达水平升高,并与启动子甲基化呈负相关。SMC2 和 SMC4 的过表达与存活率呈负相关。SMCs 家族调控基因的功能主要与 ATPase 活性有关。大多数SMCs的表达与免疫治疗和药物治疗的结果呈负相关。干扰SMC2和SMC4可降低5-氟尿嘧啶和奥沙利铂的IC50值,并抑制MCF7细胞的迁移。Si-SMC2组的肿瘤生长和重量明显减少:结论:结合生物信息学和临床标本分析验证了SMC2和SMC4是BRCA的独立预后因素,这表明它们对BRCA的诊断和治疗具有重要意义。
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来源期刊
CiteScore
6.20
自引率
2.90%
发文量
240
审稿时长
1 months
期刊介绍: Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
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