Dysfunction of Sister Chromatids Separation Promotes Progression of Hepatocellular Carcinoma According to Analysis of Gene Expression Profiling

Sun, Baozhen; Lin, G. Sharat; Ji, Degang; Li, Shuo; Chi, Guonan; Jin, Xiaogao

doi:10.3389/fphys.2018.01019

Cited by 14 publications

(12 citation statements)

References 77 publications

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“…Among them, 386 genes were upregulated and 271 genes were downregulated. The results of GO and KEGG analyses revealed that biological processes and pathways were enriched in cell cycle-associated processes, which is congruent to the results obtained in previous studies (9,43). The present study also demonstrated that the oxidation-reduction process was the most significant in HCC.…”

Section: Discussionsupporting

confidence: 91%

“…The results of the present study demonstrated that CCNB2, CDC20, MAD2L1, MCM2, CENPF and BUB1B were important to HCC and may directly or indirectly regulate its progression. These results were partially congruent with a previous study, which indicated that CENPF and BUB1B were good predictors of HCC therapy (9). In addition, CCNB2 is key protein of the cyclin family and regulates the progression of the G2/M transition during the cell cycle (46).…”

Section: Discussionsupporting

confidence: 89%

“…Although a number of studies have investigated the molecular mechanisms of HCC (9)(10)(11), the effective molecular targets of drugs and biomarkers, in addition to the biological processes and signaling pathways of the disease, remain obscure. Therefore, the present study selected 480 chip datasets of HBV-and HCV-associated HCC tumor tissues and liver cirrhosis non-tumor tissues (samples without cirrhosis) from the Gene Expression Omnibus (GEO) database for bioinformatics analysis.…”

Section: Introductionmentioning

confidence: 99%

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Integrative module analysis of HCC gene expression landscapes

Wei

et al. 2020

Exp Ther Med

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Despite hepatocellular carcinoma (HCC) being a common cancer globally, its initiation and progression are not well understood. The present study was designed to investigate the hub genes and biological processes of HCC, which change substantially during its progression. Three gene expression profiles of 480 patients with HCC were obtained from the Gene Expression Omnibus database. Subsequent to performing functional annotations and constructing protein-protein interaction (PPI) networks, 657 differentially expressed genes were identified, which were subsequently used to screen candidate hub genes. PPI networks were modularized using the weighted gene correlation network analysis algorithm, the topological overlapping matrix and the hierarchical cluster tree, which were utilized via STRING. Clinical data obtained from The Cancer Genome Atlas were then analyzed to validate the experiments performed using six hub genes. Additionally, a transcription factor and microRNA-mRNA network were constructed to determine the potential regulatory mechanisms of six hub genes. The results revealed that the oxidation-reduction process and cell cycle associated processes were markedly involved in HCC progression. Six highly expressed genes, including cyclin B2, cell division cycle 20, mitotic arrest deficient 2 like 1, minichromosome maintenance complex component 2, centromere protein F and BUB mitotic checkpoint serine/threonine kinase B, were confirmed as hub genes and validated via experiments associated with cell division. These hub genes are necessary for confirmatory experiments and may be used in clinical gene therapy as biomarkers or drug targets.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Integrative module analysis of HCC gene expression landscapes

Wei

et al. 2020

Exp Ther Med

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“…For the second chemoradiotherapy of recurrent and metastatic esophageal cancer, the potential efficacy of taxanes is reduced, due to the detection of BUB1B (13). As an important molecule in the formation of mitotic spindles, the application value of BUB1B as a drug target or biomarker in the diagnosis and treatment of hepatocellular carcinoma and primitive neuroectodermal tumors is constantly being explored (14,15). Clinically, Figure 7 RNA transport pathway (the chart is from the KEGG database, gene symbolized by ★ and correlation P values can be found in Table 3).…”

Section: Discussionmentioning

confidence: 99%

Gene set enrichment analysis and meta-analysis to identify six key genes regulating and controlling the prognosis of esophageal squamous cell carcinoma

Chen

Yuan

et al. 2018

J. Thorac. Dis

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Background: Esophageal squamous cell carcinoma (ESCC) is a common malignancy with high mortality. Because of the lack of clarity in the relevant genes and mechanisms involved, and the current difficulty for oncotherapy in providing therapeutic solutions, there is an urgent need to study this matter. While gene probe studies have been used to select the most virulent genes and pathways, paucity of case controls during gene screening and lack of conclusive results to expound the etiology and pathogenesis of the disease, have reduced study reliability. Methods: We chose six datasets from independent studies in the Gene Expression Omnibus (GEO) database and used gene set enrichment analysis and meta-analysis to select key genes and pathways. Results: We found four down-regulated and four up-regulated pathways through gene set enrichment analysis, and 406 differential genes through meta-analysis. Based on The Cancer Genome Atlas (TCGA), 995 differentially expressed genes were screened out. Comparing the 406 gene set with the 995 gene set, we found 19 common genes, of which 6 had a common pathway and were screened out as key genes regulating and controlling the prognosis of ESCC. Conclusions: Among the 19 genes, we found three genes that affect the chemotherapy of ESCC: BUB1B, BUB1, and TTK. Another three genes NDC1, NUP107, and NUP155 on the RNA transport pathway were also found. Altogether, these six genes are not only crucial in the development of ESCC, but also determine the prognosis of patients. The key genes and pathways identified in the present study will be used for the next stage in our study, which will involve gene elimination and other experimentation methods.

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“…Low expression of BUB1B is associated with the poor survival of patients with colon adenocarcinomas and lung cancer, however overexpression of BUB1B contributes to the progression and recurrence of gastric cancer and bladder cancer (35). However, several studies showed that the overexpression of BUB1B is associated with worse prognosis in patients with HCC (36,37).…”

Section: Discussionmentioning

confidence: 99%

Identification of potential key genes and pathways in hepatitis�B virus‑associated hepatocellular carcinoma by bioinformatics analyses

2020

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Chronic hepatitis B virus (HBV) is one of the leading causes of hepatocellular carcinoma (HCC). The precise molecular mechanisms by which HBV contributes to HCC development are not fully understood. The key genes and pathways involved in the transformation of nontumor hepatic tissues into HCC tissues in patients with HBV infection are essential to guide the treatment of HBV-associated HCC. Five datasets were collected from the Gene Expression Omnibus database to form a large cohort. Differentially expressed genes (DEGs) were identified between HCC tissues and nontumor hepatic tissues from HBV-infected patients using the 'limma' package. The top 50 upregulated and top 50 downregulated DEGs in HCC vs. nontumor tissues were demonstrated in subsets by heat maps. Based on the DEGs, Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathways enrichment analyses were performed. Several key pathways of the up-and downregulated DEGs were identified and presented by protein-protein interaction (PPI) networks. A total of 1,934 DEGs were identified. The upregulated DEGs were primarily associated with the 'cell cycle'. Among the DEGs enriched in the 'cell cycle' pathway, 6 genes had a log 2-fold change >2: SFN, BUB1B, TTK, CCNB1, CDK1 and CDC20. The downregulated DEGs were primarily associated with the metabolic pathways, such as 'carbon metabolism', 'glycine, serine and threonine metabolism', 'tryptophan metabolism', 'retinol metabolism' and 'alanine, aspartate and glutamate metabolism'. The DEGs in the 'cell cycle' and 'metabolic pathways' were presented by the PPI networks respectively. Overall, the present study provides new insights into the specific etiology of HCC and molecular mechanisms for the transformation of nontumor hepatic tissues into HCC tissues in patients with a history of HBV infection and several potential therapeutic targets for targeted therapy in these patients.

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Dysfunction of Sister Chromatids Separation Promotes Progression of Hepatocellular Carcinoma According to Analysis of Gene Expression Profiling

Cited by 14 publications

References 77 publications

Integrative module analysis of HCC gene expression landscapes

Integrative module analysis of HCC gene expression landscapes

Gene set enrichment analysis and meta-analysis to identify six key genes regulating and controlling the prognosis of esophageal squamous cell carcinoma

Identification of potential key genes and pathways in hepatitis�B virus‑associated hepatocellular carcinoma by bioinformatics analyses

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