Identification of candidate biomarkers associated with apoptosis in melanosis coli: GNG5, LPAR3, MAPK8, and PSMC6

Hua, Xiaohang; Chen, Jiangang; Wu, Lingli

doi:10.1042/bsr20181369

Cited by 17 publications

(15 citation statements)

References 15 publications

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“…To further clarify the interaction between DEGs, we screened fteen hub genes by constructing PPI network, among which the expression of PSMC6, AURKB, CASP9, BAD, ZNF24 and SSX2IP was associated with OS in breast cancer patients, which attracted our attention. PSMC6 belongs to PSMC family members [17]. PSMC6 might be candidate biomarkers associated with apoptosis in Melanosis coli and osteoblast [18,17].…”

Section: Discussionmentioning

confidence: 99%

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CASP9 As a Prognostic Biomarker and Promising Drug Target Plays a Pivotal Role in Inflammatory Breast Cancer

Zhang

Wang

et al. 2021

Preprint

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Background : Inflammatory breast cancer (IBC) is one of the most rare and aggressive subtype of primary breast cancer (BC). Our study aimed to explore hub genes related to the pathogenesis of IBC, which could be considered as novel molecular biomarkers for IBC diagnosis and prognosis. Material and Methods: Two datasets from gene expression omnibus database (GEO) were selected. Enrichment analysis and protein-protein interaction (PPI) network for the DEGs were performed. We analyzed the prognostic values of hub genes in the Kaplan–Meier Plotter. Connectivity Map (CMap) and Comparative Toxicogenomics Database (CTD) was used to find candidate small molecules capable to reverse the gene status of IBC. Results : 157 DEGs were selected in total. We constructed the PPI network with 154 nodes interconnected by 128 interactions. KEGG pathway analysis indicated that the DEGs were enriched in apoptosis, pathways in cancer and insulin signaling pathway. PTEN, PSMF1, PSMC6, AURKB, FZR1, CASP9, CASP6, CASP8, BAD, AKR7A2, ZNF24, SSX2IP, SIGLEC1, MS4A4A and VSIG4 were selected as hub genes based on the high degree of connectivity. Six hub genes (PSMC6, AURKB, CASP9, BAD, ZNF24 and SSX2IP) that were significantly associated with the prognosis of breast cancer. The expression of CASP9 protein was associated with prognosis and immune cells infiltration of breast cance. CASP9- naringenin (NGE) is expected to be the most promising candidate gene-compound interaction for the treatment of IBC. Conclusion : Taken together, CASP9 can be used as a prognostic biomarker and a novel therapeutic target in IBC.

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Section: Discussionmentioning

confidence: 99%

“…PSMC6 belongs to PSMC family members [17]. PSMC6 might be candidate biomarkers associated with apoptosis in Melanosis coli and osteoblast [18,17]. AURKB plays a key role during mitosis [19].The role of the AURKB expression in cancer prognosis is controversial.…”

Section: Discussionmentioning

confidence: 99%

CASP9 As a Prognostic Biomarker and Promising Drug Target Plays a Pivotal Role in Inflammatory Breast Cancer

Zhang

Wang

et al. 2021

Preprint

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“…In many tumor cells such as human colon cancer and ovarian cancer, LPA enhanced cell motility, metastasis and invasion ability through lysophosphatidic acid receptor 3 (LPAR3). In addition, LPAR3 may also participate in the regulation of protein phosphorylation, which was required for anti-apoptotic function [18] .…”

Section: Discussionmentioning

confidence: 99%

Identification of differentially expressed genes in Cushing's disease by integrated bioinformatics analysis

Lv¹,

Yu²,

Ren³

et al. 2020

Preprint

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Background Cushing's disease is a rare and little-known disease, and the individualization of drug treatment varies greatly. Studies have shown that the gene expression profile of Cushing's disease is related to its clinical characteristics. Therefore, the study aims to identify key differential genes between the age and size of tumors through bioinformatics technology, thus providing a theoretical basis for personalized targeted therapy of Cushing's disease. Methods Downloading the gene expression microarray (GSE93825) data from the Gene Expression Omnibus (GEO) database and obtaining differentially expressed genes (DEGs) of different tumor sizes and ages through GEO2R. The DAVID database, Cytoscape and String platforms were utilized for functional enrichment analysis and protein-protein interaction (PPI) network analysis on selected differential genes. Results First, 96 DEGs were identified between macroadenoma (MAC) and microadenoma (MIC), which initially proved the different gene expression characteristics between them. Second, a total of 2128 DEGs were identified in MAC age group. The top five hub genes of the PPI network were GNGT2, LPAR3, PDYN, GRM3, and HTR1D. A total of 16 DEGs were identified in MIC age group. In addition, 88 DEGs were identified in younger MAC and MIC groups. The top five hub genes included LEP, PTGS2, STAT6, CXCL12, and ITPKB. 299 DEGs were identified in senior MAC and MIC groups. The first five hub genes were CCR7, LPAR2, CXCR5, ADCY3, and TAS2R14. By virtue of DAVID and Cytoscape software, the function enrichment analysis and core module analysis were performed successfully. Conclusions In summary, our research shows through bioinformatics analysis that different gene expression profiles of Cushing's disease are related to the size and age of the tumor, which may provide new insights into the molecular pathogenesis of Cushing's disease. These hub genes may be used for accurate diagnosis and treatment of Cushing's disease.

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“…PSMC6, belongs to PSMC family members, is located in the base region of the proteasome 19S regulatory particle (Hua, Chen, & Wu, 2019; Shi et al, 2017). All PSMC subunits have an ATPase function, which is necessary to unfold the substrates and translocate them into the core particle.…”

Section: Introductionmentioning

confidence: 99%

“…The research indicated that PSMC6 depletion reduced the BTZ‐induced chymotrypsin‐like activity of PSMB5 (Tanahashi et al, 1998). PSMC6 might be candidate biomarkers associated with apoptosis in Melanosis coli (Hua et al, 2019). PSMA6/PSMC6/PSMA3 genetic variants were closely associated with juvenile idiopathic arthritis (Sjakste et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

PSMC6 promotes osteoblast apoptosis through inhibiting PI3K/AKT signaling pathway activation in ovariectomy‐induced osteoporosis mouse model

Zhang

Cao

et al. 2020

Journal Cellular Physiology

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There is now increasing evidence which suggests a key role for osteoblast apoptosis in the pathogenesis of postmenopausal osteoporosis. Here, we evaluated the role and mechanism of proteasome 26S subunit, ATPase (PSMC) 6, a protein that is highly expressed in bone. Gene expression pattern had been extracted based on database of Gene Expression Omnibus (GEO). GEO2R was employed for analyses, while the DAVID database was adopted to further analyze the gene ontology (GO) as well as Kyoto Encyclopedia of Genomes pathway (KEGG) enrichment. Then, the Search Tool Retrieval of Interacting Genes (STRING) was utilized to carry out interaction regulatory network for the top 200 differentially expressed genes (DEGs). A key gene, called PSMC6, was identified by Cytoscape 3.6.0. The OVX osteoporosis model was established in female C57BL/6 mice by full bilateral ovariectomy. According to our findings, PSMC6 gene knockout would elevate bone mineral density (BMD) and the phosphorylation level of PI3K protein and increased the protein level of cleaved caspase‐3/‐9 in OVX osteoporosis mice. Further, MTT, bromodeoxyuridine, and flow cytometry assays revealed that PSMC6 inhibition promoted the progression of cell cycle and cell proliferation, whereas, PSMC6 overexpression promoted the apoptosis and inhibited cell cycle progression and cell proliferation in vitro. Besides, we found that PI3K activation significantly decreased PSMC6‐induced osteoblast apoptosis and promoted cell proliferation through regulating the protein levels of p53, cyclinD1, and cleaved caspase‐3/9. In conclusion, PSMC6 aggravated the degree of OVX‐induced osteoporosis by inhibiting the PI3K/AKT signal transduction pathway, thereby promoting the apoptosis of osteoblasts.

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Identification of candidate biomarkers associated with apoptosis in melanosis coli: GNG5, LPAR3, MAPK8, and PSMC6

Cited by 17 publications

References 15 publications

CASP9 As a Prognostic Biomarker and Promising Drug Target Plays a Pivotal Role in Inflammatory Breast Cancer

CASP9 As a Prognostic Biomarker and Promising Drug Target Plays a Pivotal Role in Inflammatory Breast Cancer

Identification of differentially expressed genes in Cushing's disease by integrated bioinformatics analysis

PSMC6 promotes osteoblast apoptosis through inhibiting PI3K/AKT signaling pathway activation in ovariectomy‐induced osteoporosis mouse model

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