AURKB, CHEK1 and NEK2 as the Potential Target Proteins of Scutellaria barbata on Hepatocellular Carcinoma: An Integrated Bioinformatics Analysis

Huang, Chao-Yuan; Luo, Hao; Huang, Yuancheng; Fang, Chongkai; Zhao, Lina; Li, Peiwu; Zhong, Chong; Liu, Fengbin

doi:10.2147/ijgm.s318077

Cited by 9 publications

(7 citation statements)

References 45 publications

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“…The results based on hallmark gene sets revealed that the signaling pathways involved in NEK2 regulation of esophageal cancer growth include G2/M checkpoint, MYC, DNA repair, and MTORC1 signaling (Figure 3D). In summary, consistent with these reported [34][35][36], our results showed that NEK2 mainly acts on G2M checkpoint, RB, cell cycle, DNA replication, cell cycle G1/S phase transition, VGEF, MTOR, MYC, DNA repair, p53 signaling pathway, KRAS pathway, and MTORC1 (P < 0.05) (Figure 3E). More importantly, we found for the first time that NEK2 is associated with circadian pathways (Figure 3E).…”

Section: Nek2 Related To Circadian Rhythm Pathway In Esccsupporting

confidence: 91%

NEK2 could act as a circadian time-dependent tumor suppressor gene and biomarker in esophageal squamous cell carcinoma

Zeng

Sun

et al. 2023

Preprint

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Background As one of the most prevalent cancers worldwide, esophageal squamous cell carcinoma (ESCC) is characterized by rapid progression and poor prognosis, thus, it is essential to develop novel biomarkers to evaluate the diagnosis and prognosis of ESCC patients. NIMA-related kinase 2 (NEK2) is an oncogenic kinase that has been found to be upregulated in a variety of cancers, and is considered a potential therapeutic target. In addition, circadian rhythms have been shown to be closely related to the development of cancer. However, the relationship between NEK2, circadian rhythm and ESCC progression remain unknown. Methods The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO) databases (GSE23400 and GSE53625) were employed to collected the gene expression in ESCC patients, gene expression data, and clinical information. Several bioinformatics methods, including the Gene Set Enrichment Analysis (GSEA) and survival analysis were utilized to explore the correlation between the expression patterns of NEK2 genes and the development of ESCC. RNA sequencing was performed to investigate the expression of circadian rhythm. The effects of INH6 on the growth and proliferation of ESCC cell lines were tested in vitro by the Cell Counting Kit 8 (CCK8), 5-ethynyl-2ʹ-deoxyuridine (EdU), and colony formation. Additionally, western blotting was used to examined the expression of NEK2, cell cycle and apoptosis related protein, such as P21and cleaved PARP. reverse transcription-quantitative PCR (RT-qPCR) was employed to confirm that core circadian gene Bmal1, and Rev-Erba expressed. The cell apoptosis was detected by flow cytometry. Results Here, we first found that NEK2 gene was identified as differentially expressed genes in both the three datasets. Additionally, NEK2 is overexpressed in ESCC tissues and inhibition of NEK2 impairs ESCC cell growth and proliferation. The analysis of the KEGG and GSEA pathways revealed that NEK2 is closely related to known and recognized pathways such as the cell cycle, but an interesting new pathway related to NEK2 was also identified: circadian rhythm. RNA sequencing identified that NEK2 exhibits circadian rhythmic expression, and further in vitro studies confirmed that NEK2 has circadian oscillation in synchronized ESCC cells. More importantly, we observed that INH6 efficacy correlated positively with NEK2 expression levels in ESCC, suggesting that it is well worthwhile to develop and optimize the in vivo efficacy evaluation of NEK2 inhibitors based on chronological administration. Conclusions According to this study, NEK2 is highly expressed in human EC, and NEK2 has circadian oscillation in synchronized ESCC cells, which could be used to increase INH6 response to esophageal cancer therapy. In a word, NEK2 acts as a time-dependent tumor suppressor gene and biomarker in ESCC.

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Section: Nek2 Related To Circadian Rhythm Pathway In Esccsupporting

confidence: 91%

NEK2 could act as a circadian time-dependent tumor suppressor gene and biomarker in esophageal squamous cell carcinoma

Zeng

Sun

et al. 2023

Preprint

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“…Scutellaria barbata D.Don medicine trait is pungent, bitter, and cold. Its efficacy mainly acts on the lung, liver, kidney, and large intestine, and it can clear heat and detoxify, promote blood circulation and remove blood stasis, reduce swelling, and relieve pain [ 38 , 39 ]. Hedyotis diffusa Willd and Scutellaria barbata D.Don , when used in combination as a medicinal pair, exhibited anti-tumor effects.…”

Section: Discussionmentioning

confidence: 99%

An exploration of the effect of Chinese herbal compound on the occurrence and development of large intestine cancer and intestinal flora

Liu,

Ying,

Guo

et al. 2024

Heliyon

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“…In the current study, the results showed AURKB and FXOM1 gene are target genes for has-miR-204-5p with a downregulated expression in tumor samples. Aurora kinase B (AURKB) is a conserved family of serine/threonine kinase that has an essential function during cell cycle, such as chromosome segregation, spindle organization and cytokinesis [21,22]. AURKB is overexpressed in several cancers, such as triple-negative breast cancer.…”

Section: Discussionmentioning

confidence: 99%

Integrative bioinformatics analysis of miRNA and mRNA expression profiles identified some potential biomarkers for breast cancer

Rezaeijo,

Rezaei,

Poursheikhani

et al. 2023

Egypt J Med Hum Genet

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Background Breast cancer is a common cause of cancer death among women with a complex and heterogeneous picture in histological, molecular and clinical features. The aim of this study was to identify hub gene and their target microRNAs in related pathways for breast cancer. Methods We selected screening methods for differentially expressed mRNAs and miRNAs using expression profile data of breast cancer from the cancer genome atlas. Using some databases for annotation, the functional and pathway enrichment for differential expression genes was performed. We selected genes and miRNAs with differential expression pattern. Then we determined target genes for differential expression miRNAs (DEMIs) and intersection between them was selected as differentially expressed miRNA–target genes for breast cancer. In the next step, we constructed miRNA–mRNA regulatory network and protein–protein interaction (PPI) network for more information. Results Top 10 DEMIs were identified from miRNA profile. Then, we selected 354 genes as target gene for 10 DEMIs. The miRNA–mRNA and PPI network were constructed, and 10 hub genes and 5 miRNAs identified that some of them are new for breast cancer. Also, miRNA–target genes with differential expressions in this study were all mainly involved in signaling pathways and developmental process. Conclusion This study identified some candidate biomarkers for breast cancer that they have a potential role in pathways related to breast. These findings can be used for research, early diagnosis and therapeutic goals.

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AURKB, CHEK1 and NEK2 as the Potential Target Proteins of Scutellaria barbata on Hepatocellular Carcinoma: An Integrated Bioinformatics Analysis

Cited by 9 publications

References 45 publications

NEK2 could act as a circadian time-dependent tumor suppressor gene and biomarker in esophageal squamous cell carcinoma

NEK2 could act as a circadian time-dependent tumor suppressor gene and biomarker in esophageal squamous cell carcinoma

An exploration of the effect of Chinese herbal compound on the occurrence and development of large intestine cancer and intestinal flora

Integrative bioinformatics analysis of miRNA and mRNA expression profiles identified some potential biomarkers for breast cancer

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