• Applied Biological Chemistry
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• 제47권2호
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• pp.202-207
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• 2004

This study was performed to investigate the inhibitory effect of the water-extract from fermented compositions containing Inonotus obliquus with added Houttuynia cordata on the growth of either human AGS gastric and HCT-15 colon cancer cells or NIH3T3 normal mouse fibroblast cells. Cytotoxic activity on cancer cells was investigated by viable cell count, MTT assay and morphological observation. Mixtures of Inonotus obliquus with added Houttuynia cordata were fermented at $30{\sim}37^{\circ}C$, $50{\sim}60%$ humidity for 30 days, extracted with water, freeze dried, powered, and then dissolved in water for the experiment. In MTT assay, the fermented compositions exhibited inhibitory effects of 13, 25, 40, 67 and 78% for AGS and 22, 40, 50, 69 and 76% for HCT-15 at 0.16, 0.4, 0.8, 1.6 and 4.0 mg/ml, respectively. However, normal NIH3T3 cells were exhibited 86% survival under the same experimental condition. Fermented compositions showed highly inhibitory effect against human cancer cell line HCT-15 and AGS, but not on normal cell line NIH3T3.

• Journal of Digital Convergence
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• 제19권12호
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• pp.347-352
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• 2021

In this paper, we propose a method for finding feature subsets that are effective for classification in an input dataset by using a multi-agent reinforcement learning method. In the field of machine learning, it is crucial to find features suitable for classification. A dataset may have numerous features; while some features may be effective for classification or prediction, others may have little or rather negative effects on results. In machine learning problems, feature selection for increasing classification or prediction accuracy is a critical problem. To solve this problem, we proposed a feature selection method based on reinforced learning. Each feature has one agent, which determines whether the feature is selected. After obtaining corresponding rewards for each feature that is selected, but not by the agents, the Q-value of each agent is updated by comparing the rewards. The reward comparison of the two subsets helps agents determine whether their actions were right. These processes are performed as many times as the number of episodes, and finally, features are selected. As a result of applying this method to the Wisconsin Breast Cancer, Spambase, Musk, and Colon Cancer datasets, accuracy improvements of 0.0385, 0.0904, 0.1252 and 0.2055 were shown, respectively, and finally, classification accuracies of 0.9789, 0.9311, 0.9691 and 0.9474 were achieved, respectively. It was proved that our proposed method could properly select features that were effective for classification and increase classification accuracy.

• Journal of Digestive Cancer Research
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• 제6권2호
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• pp.69-72
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• 2018

Mucinous adenocarcinoma occurs in 1.6-25.4% of patients with colorectal cancer. We report a case of a 27-year-old man with negative findings on initial colonoscopic biopsy, but finally diagnosed with mucinous adenocarcinoma of the colon. After undergoing an abdominal CT due to persistent abdominal pain, he was transferred to our hospital. The abdominal CT showed a diffuse and irregular wall thickening in the distal transverse colon. Due to the edema and stenosis of colonic wall, it was difficult to insert the colonoscope into the proximal region; a biopsy revealed chronic colitis with lymphofollicular hyperplasia. Transverse colectomy and lymph node dissection were performed. The diagnosis was mucinous adenocarcinoma of approximately 20×4.5 cm. Compared to adenocarcinoma, mucinous adenocarcinoma is found in a younger population with an advanced stage and is less responsive to palliative chemotherapy. Therefore, recalcitrant abdominal pain even in young people warrants early detection through appropriate examinations such as abdominal CT and colonoscopy.

• Journal of Food Hygiene and Safety
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• 제24권3호
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• pp.267-272
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• 2009

The trace element nutrient selenium discharges its well-known nutritional anti-tumor activity. Converging data from epidemiological, ecological and clinical studies have shown that selenium can decrease the risk for some types of human cancers, especially those of the prostate, lung, and colon. Mechanistic studies have indicated that selenium has many desirable attributes of chemoprevention targeting cancer cells through DNA single strand breaks, the induction of reactive oxygen species. However, there is no reports about the relationship between methylseleninic acid (MSeA), one of methylselenol metabolites and cell cycle arrest in LNCaP human prostate cancer cells. Our data showed that MSeA arrested G1/S pahse of cell cycle arrest and inhibited DNA synthesis in LNCaP cells and those cellular events by MSeA were due to the induction ofp27 protein which is a well-known cyclin-dependent kinase inhibitor. Taken together, cell cycle arrest occurred by MSeA may contribute to the growth-inhibition of prostate cancer cells.

• Asian Pacific Journal of Cancer Prevention
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• 제15권22호
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• pp.9713-9717
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• 2014

Background: Colon cancer (CRC) is perhaps the second most common cause of cancer mortality. This study determined the clinical significance of serum vascular endothelial growth factor (VEGF) and serum complement 3a (C3a) levels in patients with CRC in Fars province, southern Iran. Materials and Methods: Between June 2010 and June 2012, 110 patients with CRC of both genders and different age groups were divided into 3 groups. Group A included patients who had just undergone surgery; Group B had undergone chemotherapy after surgery; and Group C had undergone chemotherapy and radiotherapy after surgery. Twenty one healthy subjects with normal colonoscopy were considered as a control group. ELISA was undertaken to determine VEGF and C3a levels before and after treatment measures. Results: The mean age of patients was $53.9{\pm}14.1$ years. Considering VEGF level, a significant decrease was visible after treatment measures in groups A and B, but not Group C. For VEGF level, the difference was not statistically significant between two genders and various age groups before and after treatment. No significant difference was found for VEGF level between patients and normal group before any treatment. Regarding C3a levels in 101 subjects, they significantly decreased after treatment measures. Before and after treatment, the difference was statistically significant between two genders, but was not statistically significant among various age groups. Conclusions: As VEGF and C3a levels were significantly lower in patients after treatment, these may be beneficial markers in assessment of CRC therapy especially in early stages.

• Journal of Ginseng Research
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• 제23권2호
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• pp.99-104
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• 1999

The effects of ginseng and cinnamon extract alone or mixture on the various cancer cell lines in vitro have been examined. Human colon cancer cell line (HT-29), human rectal cancer cell line (HRT-18) and human hepatoma cell line (HepG2) were used for the experiment. When given separately, the proliferation of all cancer cell lines was inhibited in proportion to the concentration of ginseng or cinnamon extract, respectively. Based on the cytotoxic activity, mixture of ginseng and cinnamon extract demonstrated a synergistic inhibition of cancer cell growth. The progression of cell cycle from G1 to S phase was significantly inhibited by ginseng and cinnamon mixture in the HT-29 and HRT-18 cell lines.

• Asian Pacific Journal of Cancer Prevention
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• 제15권21호
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• pp.9385-9390
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• 2014

Introduction: Human adiponectin (ApN) is a 30 kDa glycoprotein of 244-amino acids which is extensively produced by adipocytes. ApN acts via two receptors, namely adiponectin receptor-1 (Adipo-R1) and adiponectin receptor-2 (Adipo-R2). Studies have shown the presence of Adipo-R1 and Adipo-R2 expression immunohistochemically in human colorectal cancers (CRCs). However, only a few studies exist which investigated effects of adiponectin receptor expression on CRC characteristics. Objectives: In the present study, we aimed to explore Adipo-R1/-R2 expression in human colorectal cancers and any association with clinicopathological characteristics and survival. Materials and Methods: The study enrolled 58 colorectal cancer patients with tumor resection and a control group of 30 subjects with normal colon mucosa. Results: Positivity for Adipo-R1/-R2 expression was significantly more common in the control group in comparison to the patient group (both p<0.001). There was no significant association between Adipo-R1/-R2 expression and clinicopathological characteristics including age, sex tumor location, pTNM stage, Duke's stage, metastasis, histological differentiation, perineural invasion, venous invasion sex, lymphatic invasion, cancer-related mortality, tumor size and recurrence. Adipo- R1/-R2 positivity was also not significantly linked to progression-free or overall survival [p values (0.871, 0.758) and (0.274, 0.232), respectively]. Conclusions: Although significantly reduced Adipo-R1/-R2 expression was found in colorectal cancer patients, it had no influence on survival.

• KSBB Journal
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• 제28권5호
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• pp.332-337
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• 2013

The gene encoding for xylose isomerase from the thermophilic bacterium Thermotoga maritima was cloned and recombinantly expressed in E. coli cells. Optimal activity was shown at $90^{\circ}C$ and pH 8.0. Treatment of saponin by recombinant xylose isomerase increased the growth inhibitory effect against human gastric cancer (AGS) cells and human colon cancer (HT-29) cells. On the other hand, treatment of fucoidan by the enzyme could not change the growth inhibitory effect against the same cancer cells. One ${\mu}g/ml$ of enzyme-treated saponin exhibited the same or higher growth inhibitory effect against both cancer cells compared with 100 ${\mu}g/ml$ of enzymeuntreated saponin. These results would be useful in the development of functional food or drug.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.993-1001
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• 2016

Type 2 diabetes mellitus patients are at increased risk of many forms of malignancies, especially of the pancreas, colon and hepatocellular cancer. Unfortunately, little is known of the possible interaction between antidiabetic drugs and anticancer agents. The present study investigates the influence of metformin (MET) and sitagliptin (SITA) on the in vitro anticancer activity of the microtubule depolymerization inhibitor agent epothilone A (EpoA). Hepatocellular liver carcinoma cell line (HepG2) viability and apoptosis were determined by the MTT test and by double staining with PO-PRO-1 and 7-aminoactinomycin D, respectively, after treatment with EpoA, metformin or sitagliptin. The levels of nuclear factor NF-${\kappa}B$ and p53 were evaluated in the presence and absence of inhibitors. While EpoA and MET inhibited HepG2 cell proliferation, SITA did not. EpoA and SITA induced higher p53 levels than MET. All tested drugs increased the level of NF-${\kappa}B$. Only MET enhanced the proapoptotic effect of EpoA. The EpoA+MET combination evoked the highest cytotoxic effect on HepG2 cells and led to apoptosis independent of p53, decreasing the level of NF-${\kappa}B$. These findings support the link between NF-${\kappa}B$ and p53 in the modulation of apoptotic effects in HepG2 cells treated by EpoA. Our studies indicate that the combination of EpoA and MET applied in subtoxic doses has a stronger cytotoxic effect on liver cancer cells than each of the compounds alone. The therapeutic advantages of the combination of EpoA with MET may be valuable in the treatment of patients with diabetes mellitus type 2 (T2DM) and liver cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제13권3호
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• pp.927-930
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• 2012

Background and Objectives: Artificial neural networks (ANNs) are flexible and nonlinear models which can be used by clinical oncologists in medical research as decision making tools. This study aimed to predict distant metastasis (DM) of colorectal cancer (CRC) patients using an ANN model. Methods: The data of this study were gathered from 1219 registered CRC patients at the Research Center for Gastroenterology and Liver Disease of Shahid Beheshti University of Medical Sciences, Tehran, Iran (January 2002 and October 2007). For prediction of DM in CRC patients, neural network (NN) and logistic regression (LR) models were used. Then, the concordance index (C index) and the area under receiver operating characteristic curve (AUROC) were used for comparison of neural network and logistic regression models. Data analysis was performed with R 2.14.1 software. Results: The C indices of ANN and LR models for colon cancer data were calculated to be 0.812 and 0.779, respectively. Based on testing dataset, the AUROC for ANN and LR models were 0.82 and 0.77, respectively. This means that the accuracy of ANN prediction was better than for LR prediction. Conclusion: The ANN model is a suitable method for predicting DM and in that case is suggested as a good classifier that usefulness to treatment goals.