• Journal of Veterinary Clinics
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• v.27 no.3
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• pp.307-309
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• 2010

A 25-year-old female California sea lion (Zalophus californianus) died after a history of depression, loss of appetite, weakness and weight loss. At necropsy, multifocal to coalescing, tan to white, firm nodules, ranging from 0.5 to 3 cm in diameter were observed throughout both kidneys. Renal adenocarcinoma metastasis to the liver, spleen and small intestine was diagnosed based on gross and histopathological findings. To the best our knowledge, this is the first reported case in Korea, and understanding this case will support management and diagnosis of future cases of renal adenocarcinoma in California sea lions.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.1
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• pp.47-54
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• 2014

The aim of this study is to evaluate the effects of green tea polyphenol (GTP) on anticancer treatment with cisplatin (CP), using both an in vitro cell culture model and an in vivo mouse model of established breast tumor. Mouse breast cancer cells (EMT6) were treated with or without GTP and CP followed by determination of the cell viability using an MTT assay. The relative cell viability of CP treated EMT6 cells was 96% at a 20 ${\mu}g/mL$ concentration of cisplatin; however, in combination with GTP (50 ${\mu}g/mL$), the cell viability decreased to 20% at the same concentration of CP (20 ${\mu}g/mL$). For the in vivo study, EMT6 cells were inoculated into Balb/c mice for the establishment of a tumor-bearing mice model. The tumor-bearing mice were treated with CP (5 mg/kg. i.p.) with or without dietary GTP (0.2% drinking water). Tumor growth was monitored by a measurement of tumor size using a digital caliper, and nephrotoxicity was determined by enzymatic and histological examinations. The levels of p53 and caspase-3 in tumor tissues were examined by a Western blot. In tumor-bearing mice treated with GTP plus CP, the increment of tumor volume showed a significant reduction, compared with CP or GTP alone. The levels of p53 and cleaved caspase-3 (caspase-3/p17) in tumor tissues of tumor-bearing mice were increased by CP and GTP compared to CP alone. In CP treated tumor-bearing mice, ${\gamma}$-glutamyltranspeptidase (GGT) and alkaline phosphatase (AP) activities were decreased, and marked tubular necrosis and dilatation were observed in the kidney. CP-induced enzymatic and histopathological changes in the kidney of tumor-bearing mice were reduced by combinations of GTP with CP. The results of these experiments demonstrated that dietary GTP has a potentiating effect on CP anti-tumor activity and a protective effect against CP-induced renal dysfunction. Therefore, GTP may be used as a modulator in anticancer treatment with CP.

• Journal of Life Science
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• v.29 no.3
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• pp.318-324
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• 2019

Squamous cell carcinoma is the primary tumor type in head and neck cancers, the fifth most common malignant neoplasm world-wide. Survivin, a member of the inhibitor of apoptosis family, is highly expressed in head and neck carcinoma patients and correlated with more aggressive forms. In this study, we investigated whether YM155, a specific survivin inhibitor, could induce apoptosis in head and neck AMC-HN4 cells. YM155 was found to markedly induce apoptosis and cleavage of PARP, a marker of apoptosis. Furthermore, YM155 promoted apoptosis in other cancer cells, such as glioma (U251MG) and renal carcinoma (Caki) cells. In contrast, YM155 had no effect on apoptosis in normal mesangial cells. YM155 significantly induced caspase activation, and pan caspase inhibitor z-VAD-fmk markedly blocked apoptosis, PARP cleavage, and caspase-3 cleavage. Therefore, YM155 was seen to instigate caspase-dependent apoptosis in head and neck AMC-HN4 cells, inducing downregulation of survivin as well as other apoptotic proteins such as c-FLIP and Mcl-1. In addition, the induction of apoptosis and PARP cleavage by YM155 treatment was effectively inhibited in survivin-, c-FLIP- and Mcl-1-over-expressing head and neck AMC-HN4 cells. In conclusion, YM155 is a potent candidate for inducing cell death in head and neck AMC-HN4 cells.

• Journal of the Korean Society of Radiology
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• v.83 no.2
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• pp.317-330
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• 2022

Purpose To evaluate the various factors that affect renal function following percutaneous radiofrequency ablation (RFA) therapy in patients with renal tumors. Materials and Methods Between 2010 and 2018, 91 patients diagnosed with renal tumors using ultrasonography and CT-guided RFA were enrolled. We retrospectively investigated the serum creatinine (SCr) level and estimated glomerular filtration rates immediately prior to RFA and during post-treatment follow-up. The patients were divided into two groups based on the degree of change in SCr level (0.3 mg/dL). Group comparisons were performed using univariable and multivariable logistic regression analyses to determine the factors impacting renal function. Results Impaired renal function was associated with solitary kidney, chronic kidney disease (CKD) over stage 3, and pyeloureteral injury. Sex, age, other cancers, tumor size, location, growth pattern, and proximity to the collecting system were not significantly associated with impaired renal function. There was a difference in the overall change over time between the association with and without solitary kidney, CKD stage 3, and pyeloureteral injury. Conclusion Among the medical conditions present prior to RFA, solitary kidney and CKD over stage 3 could be considered as risk factors for impaired renal function. Post-procedural pyeloureteral injury can also be considered a risk factor.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.565-579
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• 2016

In this paper a novel cancer subtype's classifier based on Hybrid Samples Balanced Genetic Algorithm with Extreme Learning Machine (hSBGA-ELM) is presented. Proposed cancer subtype's classifier uses genes' expression data of 16063 genes from open Global Cancer Map (GCM) data base for accurate cancer subtype's classification. Proposed method efficiently classifies 14 subtypes of cancer (breast, prostate, lung, colorectal, lymphoma, bladder, melanoma, uterus, leukemia, renal, pancreas, ovary, mesothelioma and CNS). Proposed hSBGA-ELM unifies genes' selection procedure and cancer subtype's classification into one framework. Proposed Hybrid Samples Balanced Genetic Algorithm searches a reduced robust set of genes responsible for cancer subtype's classification from 16063 genes available in GCM data base. Selected reduced set of genes is used to build cancer subtype's classifier using Extreme Learning Machine (ELM). As a result, reduced set of robust genes guarantees stable generalization performance of the proposed cancer subtype's classifier. Proposed hSBGA-ELM discovers 95 genes probably responsible for cancer. Comparison with existing cancer subtype's classifiers clear indicates efficiency of the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.29 no.8
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• pp.504-508
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• 2010

In conventional diagnostic ultrasound strain imaging, when displaying strain image on a monitor, human visual characteristics are utilized such that hard regions are displayed as dark and soft regions are displayed as bright. Thus, hard regions representing tumor or cancer are displayed as dark, decreasing the contrast inside the lesion. Because the lesion area is stiff and thus displayed as dark, a method of inverting the image brightness and thereby increasing the contrast in the lesion for better diagnostic purposes is proposed wherein a postcompression signal is extended in the time domain by a factor corresponding to the reciprocal of the amount of the applied compression using a technique termed globally uniform stretching. Experiments were carried out to verify the proposed method on an ultrasound elasticity phantom with radio-frequency data acquired from a diagnostic ultrasound clinical scanner. It is found that the new method improves the contrast-to-noise ratio by a factor of up to about 1.8 compared to a conventional strain imaging method that employs a reversed gray color map without globally uniform stretching.

• Journal of Korean Neurosurgical Society
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• v.30 no.8
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• pp.1019-1022
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• 2001

Although brain metastasis of renal cell carcinoma is a major cause of death in Von Hippel-Lindau disease(VHL), it is not easy to distinguish local recurrence of hemangioblastoma from distant metastasis. In addition, hemangioblastoma has several characteristics suitable for recipient of "tumor-to-tumor metastasis". Authors report a case of Von Hippel-Lindau disease that had metastases of renal cell carcinomas.

• Tuberculosis and Respiratory Diseases
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• v.52 no.5
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• pp.557-562
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• 2002

Pumonary metastases from renal cell carcinoma are common, but metastases in the large brohchi are uncommon and recurrence of renal cell carcinoma 10 years after primary resection is rare case. When endobronchial metastasis do present they usually simulate, clinically and radiologically, bronchial carcinoma. We report a 67-year-old man with endobronchial metastasis of renal cell carcinoma 10 years after radical nephrectomy with a brief review of the literature.

• Korean journal of aerospace and environmental medicine
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• v.31 no.3
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• pp.84-85
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• 2021

Renal cell carcinoma (RCC) is common primary tumor of kidney. In the past, it had been considered a difficult tumor to manage since the detection was usually delayed until paraneoplastic syndrome and/or distant metastasis appeared due to its slow progression. However, the recent popularization of ultrasound and computed tomography has made RCC one of the easily curable cancers. Eighty percent are found early, mostly with tumor size less than 5 cm. Five-year survival rate after successful nephrectomy is exceeded 80-90 percent. Curative nephrectomy can be tried in stage 1 and 2, and some cases of stage 3. In these cases, return to flight can be considered after 6 to 12 months' observation. It should be monitored any occurrence of cancer recurrence, need for systemic treatment, metastasis, and paraneoplastic syndrome, etc. If any signs of recurrence are found or new treatment needs to be initiated, the flight should be suspended. If there is no recurrence for more than 5 to 10 years, the patient doesn't have to be followed anymore.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1083-1090
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• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.