• Tuberculosis and Respiratory Diseases
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• v.55 no.4
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• pp.388-394
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• 2003

Background : Monoclonal antibodies directed against well-known epitopes on cytokeratin (CK) 8, 18 and 19 (Monototal) have been used in the development of a new diagnostic tool for lung cancer. In the mid-1990s, CK 19 fragments (Cyfra 21-1) became popular and widely used for such diagnosis. This is the first study specifically designed to compare these two markers. Method : The serum levels of CK 8, 18 and 19 were measured using two-site monoclonal/polyclonal immunoradiometric assay kit in 57 healthy adults and 289 patients who were admitted to Seoul National University Hospital from May to September, 2002. The lung cancer group comprised 129 primary lung cancer patients; 116 with non-small cell lung cancer(NSCLC) and 13 with small cell lung cancer (SCLC). The control group comprised 160 non-malignant pulmonary lung disease patients and 57 healthy adults. A total of 166 twin Monototal and Cyfra 21-1 serum assays were obtained; 76 with lung cancer, 70 with non-malignant pulmonary lung disease and 20 healthy adults. Results : The mean serum value of Monototal was $412.47{\pm}455.45U/L$ in NSCLC, $237.08{\pm}145.15U/L$ in SCLC, $126.54{\pm}95.72U/L$ in non-malignant pulmonary lung disease, and $63.68{\pm}31.66U/L$ in healthy adults. The serum values of the lung cancer groups were significantly higher than those of the control group (p<0.01). Using a cut off value of 188U/L, sensitivity and specificity was 66.4% and 81.9% in NSCLC, and 43.8% and 81.9% in SCLC, respectively. The serum levels of CK 8, 18 and 19 were higher in advanced NSCLC than in early stage disease. Conclusion : The serum levels of CK 8, 18 and 19 may be useful in the diagnosis of NSCLC.

• Journal of Chest Surgery
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• v.37 no.12
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• pp.1032-1035
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• 2004

The specific diagnosis in diffuse interstitial lung disease may be obtained through open lung biopsy. Diffuse interstitial lung disease is often associated with lung cancer. We report one case of lung adenocarcinoma with idiopathic pulmonary fibrosis in whom previous open lung biopsy had been performed. We need general concepts about sites of open lung biopsy in these patients. Therefore, we report this case and document other references.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2819-2822
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• 2012

Objective: To assess induction effects of Chlamydia pneumoniae (Cpn) on lung cancer in rats. Methods: A lung cancer animal model was developed through repeated intratracheal injection of Cpn (TW-183) into the lungs of rats, with or without exposure to benzo(a)pyrene (Bp). Cpn antibodies (Cpn-IgA, -IgG, and -IgM) in serum were measured by microimmunofluorescence. Cpn-DNA or Cpn-Ag of rat lung cancer was detected through polymerase chain reaction or enzyme-linked immunosorbent assay. Results: The prevalence of Cpn infection was 72.9% (35/48) in the Cpn group and 76.7% (33/43) in the Cpn plus benzo(a)pyrene (Bp) group, with incidences of lung carcinomas in the two groups of 14.6% (7/48) and 44.2% (19/43), respectively (P-values 0.001 and <0.000 compared with normal controls). Conclusions: A rat model of lung carcinoma induced by Cpn infection was successfully established in the laboratory for future studies on the treatment, prevention, and mechanisms of the disease.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.1
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• pp.595-598
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• 2013

Background: Lung cancer is the leading cause of cancer death worldwide Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of lung cancer prevention. However, this is a multi-layered problem. Therefore a lung cancer risk prediction system is here proposed which is easy, cost effective and time saving. Materials and Methods: Initially 400 cancer and non-cancer patients' data were collected from different diagnostic centres, pre-processed and clustered using a K-means clustering algorithm for identifying relevant and non-relevant data. Next significant frequent patterns are discovered using AprioriTid and a decision tree algorithm. Results: Finally using the significant pattern prediction tools for a lung cancer prediction system were developed. This lung cancer risk prediction system should prove helpful in detection of a person's predisposition for lung cancer. Conclusions: Most of people of Bangladesh do not even know they have lung cancer and the majority of cases are diagnosed at late stages when cure is impossible. Therefore early prediction of lung cancer should play a pivotal role in the diagnosis process and for an effective preventive strategy.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1989-1993
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• 2013

Background: Lung cancer is the most frequent cancer among men and second highest among women overall, including in Turkey. Cigarette smoking is the most important etiologic factor for the development of cancer in both men and women. Objective: To determine the lung cancer incidence in Northeastern Anatolia Region of Turkey with a focus on clinical properties, cancer subtypes, the relationships of tumors with cigarette smoking and radiological properties of the lesions. Materials and Methods: In a retrospective study design, 566 lung cancer cases diagnosed at the Pathology Department of Ataturk University in Erzurum over the last seven years extending from January 2006 to June 2012 were investigated. The results were compared with statistical analyses. Results: The most common histopathological subtype of primary bronchogenic carcinoma in our study was found to be the squamous cell carcinoma, 46.1% (261 out of 566), and the second was small cell lung carcinoma 15.7% (89 out of 566). Based on our data, an overall male predominance was noted with a male/female ratio of 6.1/1. While 296 (52.2%) of the patients were found to be smokers at the time of diagnosis, 125 (22.0%) were nonsmokers and 145 (25.6%) were ex-smokers. Smoking status was found to have a strong correlation with primary lung cancer (p<0.05), and there were significant differences between males and females (p<0.001). Conclusion: Although relative prominence of subtypes of lung cancers differ between Turkish and other populations, lung cancer overall remains as an important health problem in Turkey. Our findings stress the critical need for effective cancer prevention programs such as anti-smoking campaigns.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3817-3822
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• 2016

Background: Lung cancer has long been a leading cause of cancer related death in both women and men worldwide. The focus of this study was to review clinicopathological features of Iranian patients diagnosed with lung cancer. Materials and Methods: Clinicopathological data of 1353 primary lung cancer patients diagnosed during 17 years (1997-2014) in the "National Institute of Tuberculosis and Lung Disease" (NRITLD), Tehran, Iran, were retrospectively reviewed. Results: The median age of patients was 60 (mean: 58.95 years, range: 16-99) and adenocarcinoma was the most prevalent pathology (45.2%). Male/female ratio was 3.22 and 57.2% of patients were smokers (men 70.3%, women 15%). The majority (85.3%) were referred in advanced stages (stage IIIB and IV). Conclusions: Although some of our findings are in concordance with other studies in lung cancer but there are some discrepancies particularly in terms of smoking status and median age of Iranian patients. Further clinical and epidemiological studies are warranted to elucidate etiologic and factors other than smoking contributing to development of lung cancer such as environmental exposures or genetic predisposition.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.863-866
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• 2016

Background: Extensive efforts have been made to investigate c-KIT expression in lung cancer specimens and its correlation with clinical outcomes, but the issue remains unresolved. Thus, this study will be conducted to clarify the prognostic value of c-KIT expression in lung cancer patients. Materials and Methods: We will search Pubmed, SCOPUS, and ISI web of sciences with no restriction of language. Studies with any design (except case reports or case series) evaluating correlations of c-KIT expression with survival or outcome in patients with lung cancer will be included. The outcome measures will include all types of survival indexes, including overall survival rate and disease free survival using Kaplan-Meier analysis and hazard ratios. Study selection and data extraction will be performed by two independent researchers. Quality assessment (assessment of risk of bias) and data synthesis will be implemented using Stata software version 11.1. Results: No ethical issues are predicted. These findings will be published in a peer-reviewed journal and presented at national and international conferences. Conclusions: This systematic review protocol is registered in the PROSPERO International Prospective Register of Systematic Reviews, registration number = CRD42015023391.

• Korean Journal of Artificial Intelligence
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• v.7 no.2
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• pp.19-24
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• 2019

Lung cancer is a chronic disease which ranks fourth in cancer incidence with 11 percent of the total cancer incidence in Korea. To deal with such issues, there is an active study on the usefulness and utilization of the Clinical Decision Support System (CDSS) which utilizes machine learning. Thus, this study reviews existing studies on artificial intelligence technology that can be used in determining the lung cancer, and conducted a study on the applicability of machine learning in determination of the lung cancer by comparison and analysis using Azure ML provided by Microsoft. The results of this study show different predictions yielded by three algorithms: Support Vector Machine (SVM), Two-Class Support Decision Jungle and Multiclass Decision Jungle. This study has its limitations in the size of the Big data used in Machine Learning. Although the data provided by Kaggle is the most suitable one for this study, it is assumed that there is a limit in learning the data fully due to the lack of absolute figures. Therefore, it is claimed that if the agency's cooperation in the subsequent research is used to compare and analyze various kinds of algorithms other than those used in this study, a more accurate screening machine for lung cancer could be created.

• The Journal of Internal Korean Medicine
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• v.32 no.1
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• pp.113-120
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• 2011

Objectives : A case series was conducted to investigate the therapeutic effects of Hang-Am Plus (HAP) on the tumor response and HRQoL (Health Related Quality of Life) in advanced non-small cell lung cancer (NSCLC) patients. Methods : Three patients were given 1,000-2,000 mg of HAP, three times a day (daily total dosage of 3,000-6,000 mg/day) for 12 weeks. Results : After the 3 month administration with HAP, three patients showed stable disease (SD) condition according to the chest computed tomography (CT), and two of the patients reported a decrease in pain levels. Conclusions : The observed NSCLC cases suggest treatment with HAP may be related to the observed tumor growth inhibition and pain reduction.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.11
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• pp.4377-4384
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• 2014

According to the World Health Organization (WHO), 1.37 million people died of lung cancer all around the world in 2008, occupying the first place in all cancer-related deaths. However, this number might be decreased if patients were detected earlier and treated appropriately. Unfortunately, traditional imaging techniques are not sufficiently satisfactory for early detection of lung cancer because of limitations. As one alternative, breath volatile organic compounds (VOCs) may reflect the biochemical status of the body and provide clues to some diseases including lung cancer at early stage. Early detection of lung cancer based on breath analysis is becoming more and more valued because it is non-invasive, sensitive, inexpensive and simple. In this review article, we analyze the limitations of traditional imaging techniques in the early detection of lung cancer, illustrate possible mechanisms of the production of VOCs in cancerous cells, present evidence that supports the detection of such disease using breath analysis, and summarize the advances in the study of E-noses based on gas sensitive sensors. In conclusion, the analysis of breath VOCs is a better choice for the early detection of lung cancer compared to imaging techniques. We recommend a more comprehensive technique that integrates the analysis of VOCs and non-VOCs in breath. In addition, VOCs in urine may also be a trend in research on the early detection of lung cancer.