韓日航路의 現況과 그 展望

金允錫 한국해사문제연구소 1974 (月刊)海洋韓國 Vol.15 No.-

국내 교량구조물의 공기력 진동제어

김윤석,박수영 한국풍공학회 2002 한국풍공학회지 Vol.6 No.2

Clinicopathologic Characteristics of Breast Cancer Stem Cells Identified on the Basis of Aldehyde Dehydrogenase 1 Expression

김윤석,이정한,정민정,류동원 한국유방암학회 2014 Journal of breast cancer Vol.17 No.2

Purpose: Breast cancer displays varying molecular and clinicalfeatures. The ability to form breast tumors has been shown byseveral studies with aldehyde dehydrogenase 1 (ALDH1) positivecells. The aim of this study is to investigate the association betweenALDH1 expression and clinicopathologic characteristics ofinvasive ductal carcinoma. Methods: We investigated breast cancertissues for the prevalence of ALDH1+ tumor cells and theirprognostic value. The present study included paraffin-embeddedtissues of 70 patients with or without recurrences. We appliedimmunohistochemical staining for the detection of ALDH1+ cells. Analysis of the association of clinical outcomes and molecularsubtype with marker status was conducted. Results: ALDH1+and ALDH1– tumors were more frequent in triple-negative breastcancers and in luminal A breast cancers, respectively (p<0.01). ALDH1 expression was found to exert significant impact on diseasefree survival (DFS) (ALDH1+ vs. ALDH1–, 53.1±6.7 monthsvs. 79.2±4.7 months; p=0.03) and overall survival (OS) (ALDH1+vs. ALDH1–, 68.5±4.7 months vs. 95.3±1.1 months; p<0.01). Intriple-negative breast cancer (TNBC) patients, DFS and OSshowed no statistical differences according to ALDH1 expression(ALDH1+ vs. ALDH1–, 45.3±9.4 months vs. 81.3±7.4 months,p=0.52; 69.0±7.5 months vs. 91.3±6.3 months, p=0.67). However,non-TNBC patients showed significant OS difference betweenALDH1+ and ALDH1– tumors (ALDH1+ vs. ALDH1–, 77.6±3.6 months vs. 98.0±1.0 months; p=0.04) with no statistical differenceof DFS (ALDH1+ vs. ALDH1–, 60.5±8.0 months vs. 81.8±4.6 months; p=0.27). Conclusion: Our findings suggest that theexpression of ALDH1 in breast cancer may be associated withTNBC and poor clinical outcomes. On the basis of our findings,we propose that ALDH1 expression in breast cancer could becorrelated with poor prognosis, and may contribute to a moreaggressive cancer phenotype.

Diagnostic Value of Elastography Using Acoustic Radiation Force Impulse Imaging and Strain Ratio for Breast Tumors

김윤석,박정구,김범수,이충한,류동원 한국유방암학회 2014 Journal of breast cancer Vol.17 No.1

Purpose: The aim of this study was to determine whether thecombination of B-mode ultrasonography (BUS), acoustic radiationforce impulse (ARFI) elastography, and strain ratio (SR) providesbetter diagnostic performance of breast lesion differentiationthan BUS alone. Methods: ARFI elastography and SR evaluationswere performed on patients with 157 breast lesions diagnosedby BUS from June to September 2013. BUS images wereclassified according to the Breast Imaging-Reporting and DataSystem. ARFI elastography was performed using Virtual Touch™tissue imaging (VTI) and Virtual Touch™ tissue quantification(VTQ). In VTI mode, we evaluated the color-mapped patterns ofthe breast lesion and surrounding tissue. The lesions were classifiedinto five categories by elasticity score. In VTQ mode, eachlesion was assessed using shear wave velocity (SWV) measurements. SR was calculated from the lesion and comparable lateralfatty tissue. We compared the diagnostic performance of BUSalone and the combination of BUS, ARFI elastography, and SRevaluations. Results: Among the 157 lesions, 40 were malignantand 117 were benign. The mean elasticity score (3.7±1.0 vs. 1.6±0.8, p<0.01), SWV (4.23±1.09 m/sec vs. 2.22±0.88 m/sec, p<0.01), and SR (5.69±1.63 vs. 2.69±1.40, p<0.01) were significantlyhigher for malignant lesions than benign lesions. The resultsfor BUS combined with ARFI elastography and SR valueswere 97.5% sensitivity, 92.3% specificity, 93.6% accuracy, a79.6% positive predictive value (PPV), and a 99.1% negative predictivevalue. The combination of the 3 radiologic examinationsyielded superior specificity, accuracy, and PPV compared to BUSalone (p<0.01 for each). Conclusion: ARFI elastography and SRevaluations showed significantly different mean values for benignand malignant lesions. Moreover, these two modalities complementedBUS and improved the diagnostic performance of breastlesion detection. Therefore, ARFI elastography and SR evaluationscan be used as complementary modalities to make moreaccurate breast lesion diagnoses.

Influence of Androgen Receptor Expression on the Survival Outcomes in Breast Cancer: a Meta-Analysis

김윤석,재은애,윤명희 한국유방암학회 2015 Journal of breast cancer Vol.18 No.2

Purpose: Despite the fact that the androgen receptor (AR) is known to be involved in the pathogenesis of breast cancer, its prognostic effect remains controversial. In this meta-analysis, we explored AR expression and its impact on survival outcomes in breast cancer. Methods: We searched PubMed, EMBASE, Cochrane Library, ScienceDirect, SpringerLink, and Ovid databases and references of articles to identify studies reporting data until December 2013. Disease-free survival (DFS) and overall survival (OS) were analyzed by extracting the number of patients with recurrence and survival according to AR expression. Results: There were 16 articles that met the criteria for inclusion in our metaanalysis. DFS and OS were significantly longer in patients with AR expression compared with patients without AR expression (odds ratio [OR], 0.60; 95% confidence interval [CI], 0.40–0.90; OR, 0.53; 95% CI, 0.38–0.73, respectively). In addition, hormone receptor (HR) positive patients had a longer DFS when AR was also expressed (OR, 0.63; 95% CI, 0.41–0.98). For patients with triple negative breast cancer (TNBC), AR expression was also associated with longer DFS and OS (OR, 0.44, 95% CI, 0.26–0.75; OR, 0.26, 95% CI, 0.12–0.55, respectively). Furthermore, AR expression was associated with a longer DFS and OS in women (OR, 0.42, 95% CI, 0.27–0.64; OR, 0.47, 95% CI, 0.38–0.59, respectively). However, in men, AR expression was associated with a worse DFS (OR, 6.00; 95% CI, 1.46–24.73). Conclusion: Expression of AR in breast cancer might be associated with better survival outcomes, especially in patients with HR-positive tumors and TNBC, and women. Based on this meta-analysis, we propose that AR expression might be related to prognostic features and contribute to clinical outcomes.

한림별곡의 발생 배경 고찰

김윤석 한국언어문학회 1995 한국언어문학 Vol.35 No.-

딥러닝 모델 반응변수 구간 설정에 따른 성능 차이 연구

김윤석,태현철,박재상,서지훈 대한산업공학회 2021 대한산업공학회 춘계학술대회논문집 Vol.2021 No.6

ROS-responsive thioether-based nanocarriers for efficient pro-oxidant cancer therapy

김윤석,김수민,강한창,심민석 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.75 No.-

A high level of intracellular reactive oxygen species (ROS) is one of the remarkable intrinsic features ofcancer cells. Therefore, ROS-responsive drug carriers have received great attention for cancer-selectivedrug delivery. In this study, ROS-responsive thioether-bearing polymers (TEP) were synthesized foreffective intracellular delivery of piperlongumine (PL) into cancer cells. PL is a pro-oxidant drug thatinduces cytotoxic oxidative stress in cancer cells. PL-loaded TEP nanoparticles (PL-TEP NPs) weresuccessfully formulated by a nanoemulsion method. PL-TEP NPs showed ROS-sensitive disassembly,which leads to ROS-sensitive drug release. In addition, PL-TEP NPs showed higher cytotoxicity in humanbreast cancer cells (MCF-7) than in normal human dermalfibroblast cells (hDFB), demonstrating theircancer cell-specific pro-oxidant therapy. This study demonstrates that ROS-responsive TEP NPs areeffective drug carriers for efficient intracellular delivery of hydrophobic drug, PL.

Image analysis as a potential tool for marker-assisted selection

김윤석,정용석,허성 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.2

The recent rapid changes in climate due to global warming have increased the frequency of severe natural disasters. Such disasters easily damage the fruits with large weight and volume, inflicting a great loss on the farms. Although the central and regional governments have persuaded farm owners to obtain the Crop Yield and Revenue Insurance, the lack of objec- tive criteria of damage analysis have often prevented an actual compensation. It has also been difficult to attain an accurate statistics of the national fruit production in South Korea, as the data collection through interviews and sample analyses was based on the manpower at the city and county agricultural technology centers. This study developed a deep learning model of citrus fruit detection to be used in the yield estimation and damage analysis for the Crop Yield and Revenue Insurance. The model was based on the YOLOv5 algorithm, which allows the fruit number to be estimated using images. The model showed an outstanding detection performance at AP50 0.817. This image-based deep learning model can also be widely applied in breeding. Notably, in breeding programs focused on increasing the production, the image-based high-throughput phenotyping could readily determine the fruit production per line. In the future, models for the detection of other fruit crops, including apples, and a smartphone application for the Crop Yield and Revenue Insurance and fruit production estimation will be developed.

식품안전기술정보 : 차세대 염기서열 분석 기술의 미생물학적 적용

김윤석 한국식품위생안전성학회 2013 Safe Food Vol.8 No.1