scholarly journals The Roles of MicroRNA in Lung Cancer

2019 ◽  
Vol 20 (7) ◽  
pp. 1611 ◽  
Author(s):  
Kuan-Li Wu ◽  
Ying-Ming Tsai ◽  
Chi-Tun Lien ◽  
Po-Lin Kuo ◽  
and Jen-Yu Hung
Keyword(s):  
Lung Cancer ◽  
Cancer Biology ◽  
Genetic Research ◽  
Clinical Applications ◽  
The Past ◽  
Diagnosis And Prognosis ◽  
Lung Cancer Diagnosis ◽  
Therapeutic Development ◽  
And Behavior ◽  
The Relationship

Lung cancer is the most devastating malignancy in the world. Beyond genetic research, epigenomic studies—especially investigations of microRNAs—have grown rapidly in quantity and quality in the past decade. This has enriched our understanding about basic cancer biology and lit up the opportunities for potential therapeutic development. In this review, we summarize the involvement of microRNAs in lung cancer carcinogenesis and behavior, by illustrating the relationship to each cancer hallmark capability, and in addition, we briefly describe the clinical applications of microRNAs in lung cancer diagnosis and prognosis. Finally, we discuss the potential therapeutic use of microRNAs in lung cancer.

scholarly journals Venous and Lung Thromboembolism in the Context of Lung Cancer: Clinical Manifestations, Risk Factors and Prognosis

2019 ◽  
Vol 32 (10) ◽  
pp. 647 ◽  
Author(s):  
Rosana Maia ◽  
Inês Neves ◽  
António Morais ◽  
Henrique Queiroga
Keyword(s):  
Lung Cancer ◽  
Venous Thromboembolism ◽  
Cancer Diagnosis ◽  
Negative Impact ◽  
Clinical Manifestations ◽  
Research Subjects ◽  
Lung Cancer Diagnosis ◽  
The Impact ◽  
The Relationship

Introduction: The relationship between cancer and thromboembolic events has been known for a long time. Lung and venous thromboembolism are frequent complications of lung cancer and its treatment, being a great cause of morbidity and mortality. We pretend to establish the relationship between lung and venous thromboembolism and lung cancer, describe patient characteristics and analyze the impact in the survival and prognosis.Material and Methods: It was a retrospective study. All research subjects were selected from lung cancer patients with a newly diagnosed lung and venous thromboembolism event admitted to Hospital S. João, between January 2008 and December 2013 and were followed until December 2014. Statistical analysis was performed with SPSS.Results: From the search, we obtained 113 patients. The majority was male, smokers or ex-smokers, and adenocarcinoma was the most frequent histologic type, being diagnosed mostly in advanced stages. We noticed that the median time between lung cancer diagnosis and lung venous thromboembolism was 2.9 months. In 24 patients (21.4%), the lung cancer diagnosis occurred after the lung and venous thromboembolism event and in 86 patients (76.8%), it occurred before the event. After a median follow up of 1.4 months, 107 (94.7%) patients died, 1 (0.9%) was lost to follow-up and 5 (4.4%) were still alive. The median survival rate was 1.5 months.Discussion: The diagnosis of lung and venous thromboembolism in patients with lung cancer is associated with bad prognosis. It occurs most frequently in patients with advanced disease, in the first months after lung cancer diagnosis and after beginning chemotherapy.Conclusion: Disease progression is an independent predictor with negative impact in overall survival.

scholarly journals Collateral effects of the coronavirus disease 2019 pandemic on lung cancer diagnosis in Korea

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ji Young Park ◽  
Ye Jin Lee ◽  
Taehee Kim ◽  
Chang Youl Lee ◽  
Hwan Il Kim ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Diagnosis ◽  
Rapid Progression ◽  
Lung Cancers ◽  
The Past ◽  
Lung Cancer Diagnosis ◽  
Number Of Patients ◽  
Wide Range ◽  
Collateral Effects ◽  
The Impact

Abstract Background The COVID-19 pandemic is predicted to significantly affect patients with lung cancer, owing to its rapid progression and high mortality. Studies on lung cancer diagnosis and treatment during an epidemic are lacking. We analyzed the impact of COVID-19 on lung cancer diagnosis in Korea, where lung cancer incidence continues to rise. Methods The number of newly diagnosed lung cancer cases in three university-affiliated hospitals during the pandemic and their clinical features were compared with lung cancer cases diagnosed during the same period in the past 3 years. The effectiveness of measures taken by the study hospitals to prevent nosocomial transmission was reviewed. Results A total of 612 patients were diagnosed with lung cancer from February through June, 2017–2020. During the pandemic, the number of patients who sought consultation at the division of pulmonology of study hospitals dropped by 16% from the previous year. Responding to the pandemic, the involved hospitals created physically isolated triage areas for patients with acute respiratory infection symptoms. Wide-range screening and preventive measures were implemented, thus minimizing the delay in lung cancer diagnosis. No patient acquired COVID-19 due to hospital exposure. The proportion of patients with stage III–IV non-small-cell lung cancer (NSCLC) significantly increased (2020: 74.7% vs. 2017: 57.9%, 2018: 66.7%, 2019: 62.7%, p = 0.011). The number of lung cancers diagnosed during this period and the previous year remained the same. Conclusions The proportion of patients with advanced NSCLC increased during the COVID-19 pandemic.

Permutation Tests in the Educational and Behavioral Sciences

Methodology ◽  
2014 ◽  
Vol 10 (2) ◽  
pp. 43-59 ◽  
Author(s):  
Ming Huo ◽  
Mieke Heyvaert ◽  
Wim Van den Noortgate ◽  
Patrick Onghena
Keyword(s):  
Multivariate Analysis ◽  
Permutation Tests ◽  
Group Comparison ◽  
Behavioral Sciences ◽  
Intelligent Algorithms ◽  
The Past ◽  
Brain And Behavior ◽  
And Behavior ◽  
The Relationship ◽  
Theoretical Developments

Over the past two decades, permutation tests (PTs) have received much attention in the educational and behavioral sciences. The aim of this article is to review the theoretical developments of PTs, the active areas in the educational and behavioral research using PTs, and the types of analysis under which PTs have been applied. We obtained 224 published articles, which included 141 theoretical articles and 83 application articles. After scrutinizing each article, we are happy to see that (1) some researchers began to advocate introducing PTs into basic statistics training; (2) computing load for PTs may be reduced dramatically by some intelligent algorithms; (3) PTs began to be applied in new areas such as studies on the relationship between brain and behavior and the relationship between gene and behavior; (4) besides simple types of analysis such as independent two-group comparison, PTs can also be carried out under more complex situations such as multivariate analysis. However, we should also notice that PTs are still mostly used for simple analyses (e.g., randomness analysis).

scholarly journals High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shi-ang Qi ◽  
Qian Wu ◽  
Zhenpu Chen ◽  
Wei Zhang ◽  
Yongchun Zhou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
High Resolution ◽  
Cancer Diagnosis ◽  
Human Cancer ◽  
Point Of Care ◽  
Area Under The Curve ◽  
Lung Cancer Screening ◽  
Diagnosis And Prognosis ◽  
Lung Cancer Diagnosis ◽  
Cancer Diagnosis And Prognosis

AbstractLung cancer is the leading cause of human cancer mortality due to the lack of early diagnosis technology. The low-dose computed tomography scan (LDCT) is one of the main techniques to screen cancers. However, LDCT still has a risk of radiation exposure and it is not suitable for the general public. In this study, plasma metabolic profiles of lung cancer were performed using a comprehensive metabolomic method with different liquid chromatography methods coupled with a Q-Exactive high-resolution mass spectrometer. Metabolites with different polarities (amino acids, fatty acids, and acylcarnitines) can be detected and identified as differential metabolites of lung cancer in small volumes of plasma. Logistic regression models were further developed to identify cancer stages and types using those significant biomarkers. Using the Variable Importance in Projection (VIP) and the area under the curve (AUC) scores, we have successfully identified the top 5, 10, and 20 metabolites that can be used to differentiate lung cancer stages and types. The discrimination accuracy and AUC score can be as high as 0.829 and 0.869 using the five most significant metabolites. This study demonstrated that using 5 + metabolites (Palmitic acid, Heptadecanoic acid, 4-Oxoproline, Tridecanoic acid, Ornithine, and etc.) has the potential for early lung cancer screening. This finding is useful for transferring the diagnostic technology onto a point-of-care device for lung cancer diagnosis and prognosis.

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