Journal ArticleDOI
Specific peripheral miRNA profiles for distinguishing lung cancer from COPD
Petra Leidinger,Andreas Keller,Anne Borries,Hanno Huwer,Mareike Rohling,Junko Huebers,Hans-Peter Lenhof,Eckart Meese +7 more
TLDR
It is shown that blood miRNA signatures are suitable to distinguish lung cancer from COPD.About:
This article is published in Lung Cancer.The article was published on 2011-10-01. It has received 100 citations till now. The article focuses on the topics: Lung cancer & COPD.read more
Citations
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Journal ArticleDOI
Methodological challenges in utilizing miRNAs as circulating biomarkers.
TL;DR: Several key procedural aspects of miRNA isolation from plasma and serum are reported, as exemplified by research in cardiovascular and pulmonary diseases.
Journal ArticleDOI
The relationship between COPD and lung cancer
Andrew L. Durham,Ian M. Adcock +1 more
TL;DR: COPD is a risk factor for lung cancer beyond their shared aetiology and both are driven by oxidative stress, which is linked to cellular aging, senescence and telomere shortening.
Journal ArticleDOI
Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC.
Céline Sanfiorenzo,Céline Sanfiorenzo,Marius Ilie,Amine Belaid,Fabrice Barlesi,Jérôme Mouroux,Jérôme Mouroux,Charles-Hugo Marquette,Charles-Hugo Marquette,Patrick Brest,Patrick Brest,Paul Hofman +11 more
TL;DR: Two plasma miRNAs expression profiles in plasma may be useful for predicting the outcome of patients with resectable NSCLC, and a three-miRNA plasma signature significantly predicted survival of squamous cell carcinoma patients.
Journal ArticleDOI
Role of microRNAs in lung development and pulmonary diseases.
Roberto Sessa,Akiko Hata +1 more
TL;DR: An overview of recent discoveries on the role played by this class of molecules in lung development and in pulmonary diseases, such as asthma, cystic fibrosis, chronic obstructive pulmonary disease, and pulmonary artery hypertension is provided.
Journal ArticleDOI
Inhaled Pollutants: The Molecular Scene behind Respiratory and Systemic Diseases Associated with Ultrafine Particulate Matter
Hussein Traboulsi,Necola Guerrina,Matthew Iu,Dusica Maysinger,Parisa A. Ariya,Carolyn J. Baglole +5 more
TL;DR: This paper highlights emerging molecular concepts associated with inhalational exposure to PM0.1 and their ability to contribute to chronic respiratory and systemic disease.
References
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Global cancer statistics
TL;DR: A substantial proportion of the worldwide burden of cancer could be prevented through the application of existing cancer control knowledge and by implementing programs for tobacco control, vaccination, and early detection and treatment, as well as public health campaigns promoting physical activity and a healthier dietary intake.
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The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
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Global cancer statistics, 2002.
TL;DR: There are striking variations in the risk of different cancers by geographic area, most of the international variation is due to exposure to known or suspected risk factors related to lifestyle or environment, and provides a clear challenge to prevention.
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Principal Component Analysis
TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
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Principal Component Analysis
TL;DR: Principal component analysis (PCA) as discussed by the authors replaces the p original variables by a smaller number, q, of derived variables, the principal components, which are linear combinations of the original variables.
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