• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.2325-2328
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• 2012

Background: Cyclin D1 (CCND1) is critical in the transition of the cell cycle from G1 to S phases and unbalanced cell cycle regulation is a hallmark of carcinogenesis. A number of studies conducted to assess the association between CCND1 G870A polymorphism and susceptibility to lung cancer have yielded inconsistent and inconclusive results. In the present study, the possible association above was assessed by a meta-analysis. Methods: Eligible articles were identified for the period up to November 2011. Pooled odds ratios (OR) with 95% confidence intervals (95%CI) were appropriately derived from fixed effects or random-effects models. Sensitivity analysis excluding studies whose genotype frequencies in controls significantly deviated from the Hardy-Weinberg equilibrium (HWE) was performed. Results: Ten case-control studies with a total of 10,548 subjects were eligible. At the overall analysis the CCND1 870A allele appeared to be associated with elevated lung cancer risk (for allele model, pooled OR = 1.24, 95% CI: 1.08-1.44, P = 0.004; for homozygous model, pooled OR = 1.45, 95% CI: 1.14-1.84, P = 0.003; for recessive model, pooled OR = 1.29, 95% CI: 1.06-1.58, P = 0.013; for dominant model, pooled OR = 1.33, 95% CI: 1.08-1.65, P = 0.009). Subgroup analyses by ethnicity and sensitivity analysis further pointed to associations, particularly in Asians. Conclusion: This meta-analysis suggests that the A allele of CCND1 G870A polymorphism confers additional lung cancer risk.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.33 no.2
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• pp.81-93
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• 2007

Purpose: Adenoid cystic carcinoma (ACC) is a relatively rare tumor that arises in glandular tissues of the head and neck region and sometimes has a protracted clinical course with perineural invasion and delayed onset of distant lung metastasis. Treatment failure of salivary ACC is most often associated with perineural and hematogenous tumor spread. However, very little has been known about the cellular and molecular mechanisms of perineural invasion and hematogenous distant metastasis of parotid ACC. This study was designed to develop an orthotopic tumor model of parotid adenoid cystic carcinoma in athymic nude mice. Experimental Design: A melanoma cell line was injected into the parotid gland of athymic mice to determine whether such implantation was technically feasible. A parotid ACC cell line was then injected into the parotid gland or the subcutaneous tissue of athymic mice at various concentrations of tumor cells, and the mice were thereafter followed for development of tumor nodule. The tumors were examined histopathologically for perineural invasion or regional or distant lung metastasis. We used an oral squmous cell carcinoma cell line as control. Results: Implantation of tumor(melanoma) cell suspension into the parotid gland of nude mice was technically feasible and resulted in the formation of parotid tumors. A parotid ACC cell line, ACC3 showed no significantly higher tumorigenicity, but showed significantly higher lung metastatic potential in the parotid gland than in the subcutis. In contrast, mucosal squmous cell carcinoma cell line doesn’t show significantly higher lung metastatic potential in the parotid gland than in the subcutis. The ACC tumor established in the parotid gland seemed to demonstrate perineural invasion of facial nerve, needs further study. Conclusion: An orthotopic tumor model of salivary ACC in athymic nude mice was successfully developed that closely recapitulates the clinical situations of human salivary ACC. This model should facilitate the understanding of the cellular and molecular mechanisms of tumorigenisis and metastasis of salivary ACC and aid in the development of targeted molecular therapies of salivary ACC.

• Journal of Chest Surgery
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• v.27 no.3
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• pp.238-240
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• 1994

We performed post-operative hemodynamic evaluation and lung perfusion scan after left lung transplantation in dog. The heart & lungs were extracted from donor dog while the both lungs were flushed with 4oC Euro-Collin`s solution after heparinization & infusion of prostaglandin E1.In the recipient dog, anastomosis of the left atrial cuff was performed by continuous 4-0 Prolene everted suture, and bronchial anastomosis by telescope method with 4-0 Prolene continuous suture. The end-to-end anastomosis of left main pulmonary arteries was performed with continuous 6-0 Prolene suture. After closure of left thoracotomy incision, the lung perfusion scan was performed post operative 2 days for evaluation of the function of the transplanted lung which showed good perfusion. The dog was sacrificed in the post-operative 5 days for autopsy.

• Journal of Korean Critical Care Nursing
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• v.16 no.3
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• pp.73-86
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• 2023

Purpose : This study aimed to identify the factors affecting the quality of life of lung transplant patients. Method : The participants were patients who received lung transplants at a general hospital in City Y. Data were collected through structured questionnaires from June 2023 to August 2023. General characteristics, lung transplantation-related characteristics, quality of life, functional disability, treatment compliance, social support, anxiety, and depression-were measured. For data analysis, hierarchical multiple regression was performed using SPSS/WIN 29.0. Results : In the final model, quality of life was associated with income, self-help group attendance, functional disability, social support, treatment compliance, and anxiety and depression. Together, they explained 61.2% of the total variance in the results. Conclusion : Our findings suggest that improving lung transplant patients' quality of life requires active intervention in stress management to perform treatment instructions well, a social support system that can help them financially, and encouraging and participating in social activities as patients.

• Journal of Korea Multimedia Society
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• v.23 no.5
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• pp.625-632
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• 2020

In the diagnosis of lung cancer, the tumor size is measured by the longest diameter of the tumor in the entire slice of the CT. In order to accurately estimate the size of the tumor, it is better to measure the volume, but there are some limitations in calculating the volume in the clinic. In this study, we propose an algorithm to segment lung cancer by applying a custom loss function that combines focal loss and dice loss to a U-Net model that shows high performance in segmentation problems in chest CT images. The combination of values of the various parameters in custom loss function was compared to the results of the model learned. The purposed loss function showed F1 score of 88.77%, precision of 87.31%, recall of 90.30% and average precision of 0.827 at α=0.25, γ=4, β=0.7. The performance of the proposed custom loss function showed good performance in lung cancer segmentation.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.265-272
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• 2022

As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

• Tuberculosis and Respiratory Diseases
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• v.86 no.3
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• pp.203-215
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• 2023

Background: Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models. Methods: We extracted data from the Clinical Data Warehouse and developed three sets: set I, the linear regression model; set II, machine learning models omitting the missing data: and set III, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), Ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in 1 second measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set III. Predictive performance was evaluated by R² and mean squared error (MSE) in the three sets. Results: A total of 1,487 patients were included in sets I and III and 896 patients were included in set II. In set I, the R² value was 0.27 and in set II, LightGBM was the best model with the highest R² value of 0.5 and the lowest MSE of 154.95. In set III, LightGBM was the best model with the highest R² value of 0.56 and the lowest MSE of 174.07. Conclusion: The LightGBM model showed the best performance in predicting postoperative lung function.

• Journal of the Korea Computer Graphics Society
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• v.28 no.1
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• pp.1-9
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• 2022

Non-small cell lung cancer (NSCLC) accounts for a high proportion of 85% among all lung cancer and has a significantly higher mortality rate (22.7%) compared to other cancers. Therefore, it is very important to predict the prognosis after surgery in patients with non-small cell lung cancer. In this study, the types of preoperative chest CT image patches for non-small cell lung cancer patients with tumor as a region of interest are diversified into five types according to tumor-related information, and performance of single classifier model, ensemble classifier model with soft-voting method, and ensemble classifier model using 3 input channels for combination of three different patches using pre-trained ResNet and EfficientNet CNN networks are analyzed through misclassification cases and Grad-CAM visualization. As a result of the experiment, the ResNet152 single model and the EfficientNet-b7 single model trained on the peritumoral patch showed accuracy of 87.93% and 81.03%, respectively. In addition, ResNet152 ensemble model using the image, peritumoral, and shape-focused intratumoral patches which were placed in each input channels showed stable performance with an accuracy of 87.93%. Also, EfficientNet-b7 ensemble classifier model with soft-voting method using the image and peritumoral patches showed accuracy of 84.48%.

• Journal of Chest Surgery
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• v.28 no.12
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• pp.1096-1106
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• 1995

We experienced 7 cases of left single lung transplantation in 14 mongrel dogs and analyzed graft lung function by hemodynamics, blood gas analysis, chest X-ray, biopsy and perfusion lung scan. We performed right pulmonary artery cuff[PA cuff for analysis of graft lung function in 3 cases. The donor lungs were flushed with modified Euro-Collins solution[n=3 or low potassium dextran glucose solution[n=4 and preserved for 4 to 5 hours[n=4 or 24 hours[n=3 at 10o C and implanted to the dogs with similar weight . Assessment of left graft lung was done by occluding the right pulmonary artery for 10 minutes using PA cuff. Assessment for graft lung function was done immediately after an operation and after 3 days, 7days and 3 weeks postoperatively. Four dogs survived for 3days, 7days[2 cases and 3 weeks respectively. Other three dogs expired within 3 hours of reperfusion. Immediate perfusion scans of left lung in four survived dogs after reperfusion were 42.1%, 36% , 11% and 5.9% respectively, and another dog with 4.8% perfusion to left lung was dead due to left atrial thrombi after 3 hours reperfusion. In one case among three acute rejections follow-up perfusion scan was done on 3rd and 11th postoperative day and the result decreased from 36% perfusion immediate postoperatively to 21% and 15% respectively. Three expired dogs postoperatively couldn`t tolerate occlusion of right pulmonary artery with above 40 mmHg of mean pulmonary artery pressure. On the other hand, three survival dogs postoperatively tolerated occlusion of right pulmonay artery with less than 30 mmHg of mean pulmonary artery pressure. and one dog couldn`t tolerate same procedure immediate postopertively but in 2 hours reperfusion later tolerated with 29 mmHg of mean pulmonary artery pressure.In conclusion we couldn`t compare the effect of two flushing solutions but low potassium dextran glucose solution showed relatively safe preservation effect in cases with preservation of more than 20 hours. Also canine left single lung transplantation model with PA cuff indicated useful method for the assessment of graft lung function with effect of lung preservation.

• BMB Reports
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• v.57 no.3
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• pp.155-160
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• 2024

Lung cancer carries one of the highest mortality rates among all cancers. It is often diagnosed at more advanced stages with limited treatment options compared to other malignancies. This study focuses on calnexin as a potential biomarker for diagnosis and treatment of lung cancer. Calnexin, a molecular chaperone integral to N-linked glycoprotein synthesis, has shown some associations with cancer. However, targeted therapeutic or diagnostic methods using calnexin have been proposed. Through 1D-LCMSMS, we identified calnexin as a biomarker for lung cancer and substantiated its expression in human lung cancer cell membranes using Western blotting, flow cytometry, and immunocytochemistry. Anti-calnexin antibodies exhibited complement-dependent cytotoxicity to lung cancer cell lines, resulting in a notable reduction in tumor growth in a subcutaneous xenograft model. Additionally, we verified the feasibility of labeling tumors through in vivo imaging using antibodies against calnexin. Furthermore, exosomal detection of calnexin suggested the potential utility of liquid biopsy for diagnostic purposes. In conclusion, this study establishes calnexin as a promising target for antibody-based lung cancer diagnosis and therapy, unlocking novel avenues for early detection and treatment.