2018
DOI: 10.5582/bst.2018.01239
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Differential expression of APE1 in hepatocellular carcinoma and the effects on proliferation and apoptosis of cancer cells

Abstract: 2. Materials and Methods 2.1. Tissue samples and main reagents Tissue samples and experimental cells: HCC tissue microarrays were purchased from Shanghai Outdo Biotech (model HLivH160CS01); there were 80 cases of HCC, 1 each at cancer/paracancerous site. TNM staging was available, clinical phase 1, 2, 3 and 4, Summary This research aimed to investigate the differential expression of apurinic-apyrimidinic endonuclease 1 (APE1) in hepatocellular carcinoma (HCC) tissues and cells and the effects on proliferation … Show more

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Cited by 25 publications
(15 citation statements)
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“…These 11 gene sets were then subjected to survival analysis for a better understanding of their role according to a clinical perspective. LIHC, LUAD and PAAD networks, which were composed of bad prognostic genes in high percentages, confirmed previous studies on the important role of APE1 in these cancers [52][53][54][55][57][58][59][60][61][62][63][64][65] . Kaplan-Meier estimation was used to calculate survival probability associated with these genes; the ones having significantly lower survival prognosis (p < 0.05) were used to create cancer-specific PPI subnetworks ( Fig.…”
Section: Discussionsupporting
confidence: 88%
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“…These 11 gene sets were then subjected to survival analysis for a better understanding of their role according to a clinical perspective. LIHC, LUAD and PAAD networks, which were composed of bad prognostic genes in high percentages, confirmed previous studies on the important role of APE1 in these cancers [52][53][54][55][57][58][59][60][61][62][63][64][65] . Kaplan-Meier estimation was used to calculate survival probability associated with these genes; the ones having significantly lower survival prognosis (p < 0.05) were used to create cancer-specific PPI subnetworks ( Fig.…”
Section: Discussionsupporting
confidence: 88%
“…In order to focus our attention on the most relevant cancer types, we based our bioinformatic analysis on the eleven datasets having the highest number of bad prognostic genes. Among those, we were interested in particular in liver (LIHC) [52][53][54][55][56] , lung (LUAD) [57][58][59][60] and pancreatic (PAAD) [61][62][63][64][65] cancer datasets, as the essential role of APE1 in the tumorigenic processes of these cancer types is already well established. Notably, the LUAD dataset was the third having the highest number of bad prognostic genes (n = 153).…”
Section: Upstream Regulators Analysismentioning
confidence: 99%
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“…Then the cells were incubated with indicated concentrations of the compounds for 72 h. 3-(4,5-Dimethylthiazol-2-yl)-2,5diphenyltetrazolium bromide (MTT) was subsequently added for an extra 3 h of incubation. The MTT formazan precipitate was dissolved in DMSO, and the absorbance was measured at a wavelength of 570 nm by a Spectramax M5 microtiter plate luminometer (Molecular Devices, Sunnyvale, CA, USA) (24)(25)(26). Experiments were performed in triplicate and repeated for three times.…”
Section: In Vitro Antiproliferative Activity Assaymentioning
confidence: 99%
“…Poor prognosis means finding more accurate biomarkers to predict a patient's prognosis and finding a more effective therapeutic gene targets are top priority for current research (5,6). Although some carcinogenic mechanisms and molecular mechanisms of HCC have been studied and proved, including genomic instability (7,8), gene mutation (9,10), carcinogenic and tumor suppressor gene expression (11), signaling pathways and so on (12)(13)(14)(15), the overall and exact molecular pathology of HCC remains unclear. Still need a lot of basic scientific research and studies.…”
Section: Introductionmentioning
confidence: 99%