数据挖掘分析MYB家族在乳腺癌中的表达及其预后评估价值

doi:10.3969/j.issn.1004-616x.2020.06.002

Abstract

Abstract: OBJECTIVE: To explore expression and prognostic values of the MYB family (MYB,MYBL1 and MYBL2) in breast cancer patients via data mining analyses. METHODS: The Oncomine database,GEPIA2,cBioPortal,bc-GenExMiner v4.4,Kaplan-Meier Plotter and DAVID were used to investigate expression distribution,genetic alteration,clinicopathological features,prognostic values and function enrichment of MYB family members in breast cancer patients. RESULTS: Expression of MYB family members were significantly higher in multiple breast cancer datasets than that in normal breast tissues (P < 0.05). Expression variation of these genes mainly involved gene amplification,and mRNA strength and weakness. Their expression levels were significantly associated with a number of clinicopathological characteristics of the patients,e.g. age,molecular subtypes,Scarff-Bloom-Richardson (SBR) grade (P < 0.01). Specifically,the mRNA expression levels of MYB were significantly downregulated,while those of MYBL1 and MYBL2 were significantly upregulated in triple negative breast cancers (TNBC),basal-like breast cancers(BLBC) and P53 mutated type breast cancers (P < 0.01).Breast cancer patients with the characteristics of low MYB and high MYBL2 mRNA expression levels showed worse relapse-free survival and post progression survival (P < 0.01). In addition,patients with metastatic recurrence of breast cancer,and low MYB and high MYBL2 expression levels had poor prognosis (Univariate Cox analyses;P < 0.01). Based on the multivariate Cox regression analyses,MYBL2 was an independent prognostic factor for metastatic recurrence survival of breast cancer patients (P < 0.05). Functional evaluation indicates that the MYBL2 co-expressed genes were mainly involved in the cell proliferation process and the cell cycle signaling pathway. CONCLUSION: Our integrative bioinformatics analyses indicate that the MYB gene family were significantly involved in metastatic relapse in breast cancer. Consequently,these genes can be used as biomarkers for clinical diagnosis and prognosis of breast cancer. Furthermore,our data provide a basis for molecular mechanism research and drug discovery for breast cancer.

Key words: MYB family, data mining, prognostic assessment, breast cancer

CLC Number:

R737.9

LI Weiwei, ZHU Ying. Data mining analyses of expression and prognostic values of the MYB family in breast cancer[J]. Carcinogenesis, Teratogenesis & Mutagenesis, 2020, 32(6): 414-422.

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Data mining analyses of expression and prognostic values of the MYB family in breast cancer

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