• Journal of Periodontal and Implant Science
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• v.51 no.6
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• pp.386-397
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• 2021

Purpose: MicroRNAs (miRNAs) are epigenetic post-transcriptional regulators that modulate gene expression and have been identified as biomarkers for several diseases, including cancer. This study aimed to systematically review the relationship between miRNAs and periodontal disease in humans, and to evaluate the potential of miRNAs as diagnostic and prognostic biomarkers of disease. Methods: The review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (reference number CRD42020180683). The MEDLINE, Scopus, Cochrane Library, Embase, Web of Science, and SciELO databases were searched for clinical studies conducted in humans investigating periodontal diseases and miRNAs. Expression levels of miRNAs across the different groups were analysed using the collected data. Results: A total of 1,299 references were identified in the initial literature search, and 23 articles were finally included in the review. The study designs were heterogeneous, which prevented a meta-analysis of the data. Most of the studies compared miRNA expression levels between patients with periodontitis and healthy controls. The most widely researched miRNA in periodontal diseases was miR-146a. Most studies reported higher expression levels of miR-146a in patients with periodontitis than in healthy controls. In addition, many studies also focused on identifying target genes of the differentially expressed miRNAs that were significantly related to periodontal inflammation. Conclusions: The results of the studies that we analysed are promising, but diagnostic tests are needed to confirm the use of miRNAs as biomarkers to monitor and aid in the early diagnosis of periodontitis in clinical practice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1046-1052
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• 2021

Artificial intelligence is being applied in various industrial fields to the development of the fourth industry and the construction of high-performance computing environments. In the medical field, deep learning learning such as cancer, COVID-19, and bone age measurement was performed using medical images such as X-Ray, MRI, and PET and clinical data. In addition, ICT medical fusion technology is being researched by applying smart medical devices, IoT devices and deep learning algorithms. Among these techniques, medical image-based deep learning learning requires accurate finding of medical image biomarkers, minimal loss rate and high accuracy. Therefore, in this paper, we would like to compare and analyze the performance of the Cross-Entropy function used in the image classification algorithm of the loss function that derives the loss rate in the chest X-Ray image-based deep learning learning process.

• Molecules and Cells
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• v.45 no.9
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• pp.640-648
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• 2022

CD133, also known as prominin-1, was first identified as a biomarker of mammalian cancer and neural stem cells. Previous studies have shown that the prominin-like (promL) gene, an orthologue of mammalian CD133 in Drosophila, plays a role in glucose and lipid metabolism, body growth, and longevity. Because locomotion is required for food sourcing and ultimately the regulation of metabolism, we examined the function of promL in Drosophila locomotion. Both promL mutants and pan-neuronal promL inhibition flies displayed reduced spontaneous locomotor activity. As dopamine is known to modulate locomotion, we also examined the effects of promL inhibition on the dopamine concentration and mRNA expression levels of tyrosine hydroxylase (TH) and DOPA decarboxylase (Ddc), the enzymes responsible for dopamine biosynthesis, in the heads of flies. Compared with those in control flies, the levels of dopamine and the mRNAs encoding TH and Ddc were lower in promL mutant and pan-neuronal promL inhibition flies. In addition, an immunostaining analysis revealed that, compared with control flies, promL mutant and pan-neuronal promL inhibition flies had lower levels of the TH protein in protocerebral anterior medial (PAM) neurons, a subset of dopaminergic neurons. Inhibition of promL in these PAM neurons reduced the locomotor activity of the flies. Overall, these findings indicate that promL expressed in PAM dopaminergic neurons regulates locomotion by controlling dopamine synthesis in Drosophila.

• Journal of Korean Neurosurgical Society
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• v.67 no.3
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• pp.364-375
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• 2024

Objective : Kinesin family member C1 (KIFC1), a non-essential kinesin-like motor protein, has been found to serve a crucial role in supernumerary centrosome clustering and the progression of several human cancer types. However, the role of KIFC1 in glioma has been rarely reported. Thus, the present study aimed to investigate the role of KIFC1 in glioma progression. Methods : Online bioinformatics analysis was performed to determine the association between KIFC1 expression and clinical outcomes in glioma. Immunohistochemical staining was conducted to analyze the expression levels of KIFC1 in glioma and normal brain tissues. Furthermore, KIFC1 expression was knocked in the glioma cell lines, U251 and U87MG, and the functional roles of KIFC1 in cell proliferation, invasion and migration were analyzed using cell multiplication, wound healing and Transwell invasion assays, respectively. The autophagic flux and expression levels matrix metalloproteinase-2 (MMP2) were also determined using imaging flow cytometry, western blotting and a gelation zymography assay. Results : The results revealed that KIFC1 expression levels were significantly upregulated in glioma tissues compared with normal brain tissues, and the expression levels were positively associated with tumor grade. Patients with glioma with low KIFC1 expression levels had a more favorable prognosis compared with patients with high KIFC1 expression levels. In vitro, KIFC1 knockdown not only inhibited the proliferation, migration and invasion of glioma cells, but also increased the autophagic flux and downregulated the expression levels of MMP2. Conclusion : Upregulation of KIFC1 expression may promote glioma progression and KIFC1 may serve as a potential prognostic biomarker and possible therapeutic target for glioma.

• Journal of Life Science
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• v.9 no.2
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• pp.160-168
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• 1999

Butyrate is one of the short-chain fatty acids that are present in the colon of mammals in millimolar concentration as a result of microbial anaerobic fermentation of dietary fiber, undigested starch, and proteins. In this study, sodium butyrate was examined in HT29 cell, human colonic cancer cell line, on cell viability, alkaline phosphatase activity, PLC-${\gamma}$1 expression and complex sphingolipid biosynthesis. Treatment with butyrate showed that the decrease of cell adhesion and viability was time-dependent. Sodium butyrate also induced to increase the activity of alkaline phosphatase which is a differentiation marker enzyme and decrease the expression of PLC-${\gamma}$1. Biosynthesis of sphingomyelin and galactosylceramide by butyrate treatment were decreased so fast but ceramide was increased 680dpm/mg protein% more than untreated group on first day and then decreased fast. In addition, acid ceramidase and neutral ceramidase activity were inhibited early stage by sodium butyrate. These results suggest that sodium butyrate causes cell differentiation or cell growth arrest of HT29 cell accompanied by early increase of ceramide content and alkaline phosphatase activity and decrease of galactosylceramide content and PLC-r1 expression.

• Journal of Nutrition and Health
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• v.29 no.1
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• pp.112-121
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• 1996

The study was designed to observe the effect of blend fat calculated from the foods consumed in Korean with those of perilla oil, beef tallow and corn oil on colonic mucosal phospholipid fatty acid composition and the levels of TXB2 and diacylglycerol (DAG) which were known as biomarkers for cancer. Male Sprague Dawley rats, at 7 weeks of age, were divided into control and 1, 2-dimethylhydrazine (DMH)-treated group, and each group was subdivided into four groups. The experimental diets contained one of four dietary fats, blend fat (BF), perilla oil(PO), beef tallow (BT) or corn oil (CO), at 15% (w/w) level. At the same time, each rat was injected with saline for control group or DMH twice a week for 6 weeks to give total dose of 180mg/kg body weight. DMH injection, regardless of the type of dietary fats, significantly increased the levels of PGE2 and TXB2 in colonic mucosal layer compared to control (p<0.01). However, the level of eicosanoids was influenced by the types of dietary fats in both control and DMH group. In control groups, colonic mucosal level of TXB2 was higher in beef tallow group, but lower in perilla oil group compared to that of blend fat (p<0.01). In DMH groups, the level of TXB2 was higher in beef tallow and corn oil groups(p<0.05). The level of PGE2 showed the same trends with TXB2 and beef tallow most significantly increased the level of PGE2. DMH treatment did not influence on tissue fatty acid profile, which was directly reflected by dietary fatty acid composition. Proportions of C18 : 2 in colonic mucosal phospholipid well reflected dietary level of C18 : 2 showing the order CO>BF>PO>BT. The precentage of arachidonic acid(AA) in mucosal phospholipid was the highest by CO adn BT groups and the lowest by PO group. The incorporation of $\alpha$-linolenic acid in colonic mucosal phospholipid in perilla oil group was negatively correlated to the content of AA. Dietary level of C18 : 2 might not be the only controlling factor for the production of eicosanoids in colonic mucosa layer and might function with $\omega$3 fatty acids. The level of DAG was significanlty lower in PO group than that of BT group. Therefore, $\omega$3 $\alpha$-linolenic acid rich perilla oil could be very important dietary sourec in controlling eicosanoid production DAG level in cloln and recommenced to use more often in meal preparation to reduce the risk factor against colon cancer.

• Journal of Chest Surgery
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• v.39 no.5 s.262
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• pp.376-381
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• 2006

Background: The Ki-67 protein is a biomarker associated with cell proliferation and a valuable negative prognostic factor in non-small cell lung cancer. We investigated the Ki-67 protein expression in resected non-small cell lung cancer to evaluate the impact on clinicopathological characteristics and postoperative prognosis. Material and Method: Using monoclonal antibody Ki-67, we immunohistochemically examined 38 surgically resected non-small ceil lung cancers to determine Ki-67 Labeling Index (LI). We analysed the differences of clinicopathological characteristics and postoperative recurrence and survival between High Ki-67 Group $(LI{\ge}20%)$ and Low Ki-67 Group (LI<20%). Result: The Ki-67 LIs were heterogenous and a mean values was $20.0{\pm}20.05%$. There were no significant differences in age, sex, smoking, TNM stage, and vascular invasion between High Ki-67 Group and Low Ki-67 Group. A High Ki-67 Group was significantly associated with squamous cell type, poor differentiation, and lymphatic invasion $(p{\le}0.05)$. High Ki-67 Group showed a trend of lower survival (median 47.2 vs. 90.5 months, p=0.312) and lower disease-free survival (median 18.2 vs. 72.3 months, p=0.327) than Low Ki-67 Group. Conclusion: These results indicate that increased Ki-67 protein expression may be a negative prognostic factor and showed a trend of shortened survival and disease-free survival. To evaluate the pivotal role of Ki-67 protein expression, a long-term follow-up and further study are required.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6591-6596
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• 2014

Background: This meta-analysis was performed to investigate the relationship between methylation of the P14 and O6-methylguanine-DNA methyltransferase (MGMT) genes and the risk of hepatocellular carcinoma (HCC). Materials and Methods: We searched PubMed, EMBASE, the Chinese Biomedical Database (CBM), and the China National Knowledge Infrastructure (CNKI) databases to identify relevant studies that analysed HCC tissues for P14 and MGMT gene methylation status; we then performed a meta-analysis. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated to evaluate the association between gene methylation and the risk of HCC. Results: Ten studies that assessed P14 gene methylation in 630 HCC tumour tissues and nine studies analysing MGMT methylation in 497 HCC tumour tissues met our inclusion criteria. Our meta-analysis revealed that the rate of P14 methylation was significantly higher in HCCs than in adjacent tissues (OR 3.69, 95%CI 1.63-8.35, p=0.002), but there was no significant difference in MGMT methylation between HCC and adjacent tissues (OR 1.76, 95%CI 0.55-5.64, p=0.34). A subgroup analysis according to ethnicity revealed that P14 methylation was closely related to the risk of HCC in Chinese and Western individuals (Chinese, OR 7.74, 95%CI 1.36-44.04, p=0.021; Western, OR 3.60, 95%CI 1.49-8.69, p=0.004). Furthermore, MGMT methylation was not correlated with the risk of HCC in Chinese individuals (OR 2.42, 95%CI 0.76-7.73, p=0.134). The combined rate of P14 methylation was 35% (95%CI 24-48%) in HCC tumour tissues and 11% (95%CI 4-27%) in adjacent tissues, whereas the combined rate of MGMT methylation was 15% (95%CI 6-32%) in HCC and 10% (95%CI 4-22%) in adjacent tissues. Conclusions: These results suggest that the risk of HCC is related to P14 methylation, but not MGMT methylation. Therefore, P14 gene methylation may be a potential biomarker for the diagnosis of HCC.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2753-2758
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• 2014

Background: GC-binding factor 2 (GCF2) is a transcriptional regulator that represses transcriptional activity of the epidermal growth factor receptor (EGFR) by binding to a specific GC-rich sequence in the EGFR gene promoter. In addition to this function, GCF2 has also been identified as a tumor-associated antigen and regarded as a potentially valuable serum biomarker for early human hepatocellular carcinoma (HCC) diagnosis. GCF2 is high expressed in most HCC tissues and cell lines including HepG2. This study focused on the influence of GCF2 on cell proliferation and apoptosis in HepG2 cells. Materials and Methods: GCF2 expression at both mRNA and protein levels in HepG2 cells was detected with reverse transcription (RT) PCR and Western blotting, respectively. RNA interference (RNAi) technology was used to knock down GCF2 mRNA and protein expression. Afterwards, cell viability was analyzed with a Cell Counting Kit-8 (CCK-8), and cell apoptosis and caspase 3 activity by flow cytometry and with a Caspase 3 Activity Kit, respectively. Results: Specific down-regulation of GCF2 expression caused cell growth inhibition, and increased apoptosis and caspase 3 activity in HepG2 cells. Conclusions: These primary results suggest that GCF2 may influence cell proliferation and apoptosis in HepG2 cells, and also provides a molecular basis for further investigation into the possible mechanism at proliferation and apoptosis in HCC.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.10
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• pp.4203-4206
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• 2014

Purpose: The objective of this study was to assess the predictive role of the neutrophil/lymphocyte ratio (NLR) for invasion of gestational trophoblastic disease (GTD). Materials and Methods: A retrospective analysis was conducted on 127 women who were managed at our clinic for GTD. Of all patients, 8 showed invasion according to histological examination. The clinical parameters of patients with invasive GTD (Group 1; n=8) were compared with patients who showed no invasion (Group 2; n=119). All underwent a prior uterine evacuation and followed up by regular assessment of ${\beta}$-hCG titers. Results: Demographic and obstetric history and pre-evacuation hCG levels of the patients showed no statistically significantly difference between the groups (p>0.05). The mean gestational weeks (GW), size of the GTD and NLR levels were statistically significantly higher in the invasive GTD group (p<0.05). Correlations between invasion and gestational weeks, size of GTD, post-evacuation chemotherapy and NLR were evident. ROC curve analysis demonstrated that GW, size of GTD and NLR may be discriminative parameters in predicting invasion of GTD. Conclusions: To the best of our knowledge, this is the first study evaluating the predictive role of NLR in invasion of GTD. In conclusion, we think that pretreatment NLR can be used as a biomarker of invasion in GTD.