scholarly journals Lung cancer epigenetics: emerging biomarkers

2013 ◽  
Vol 7 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Ioanna Balgkouranidou ◽  
Triantafillos Liloglou ◽  
Evi S Lianidou
Keyword(s):  
Lung Cancer ◽  
Cancer Epigenetics

Lung cancer epigenetics: From knowledge to applications

2018 ◽  
Vol 51 ◽  
pp. 116-128 ◽  
Author(s):  
Michaël Duruisseaux ◽  
Manel Esteller
Keyword(s):  
Lung Cancer ◽  
Cancer Epigenetics

scholarly journals Extracting a biologically latent space of lung cancer epigenetics with variational autoencoders

2019 ◽  
Vol 20 (S18) ◽  
Author(s):  
Zhenxing Wang ◽  
Yadong Wang
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Deep Learning ◽  
Malignant Tumors ◽  
Methylation Data ◽  
Cancer Epigenetics ◽  
Latent Space ◽  
Unsupervised Deep Learning ◽  
Latent Representations ◽  
Model Training

Abstract Background Lung cancer is one of the most malignant tumors, causing over 1,000,000 deaths each year worldwide. Deep learning has brought success in many domains in recent years. DNA methylation, an epigenetic factor, is used for model training in many studies. There is an opportunity for deep learning methods to analyze the lung cancer epigenetic data to determine their subtypes for appropriate treatment. Results Here, we employ variational autoencoders (VAEs), an unsupervised deep learning framework, on 450K DNA methylation data of TCGA-LUAD and TCGA-LUSC to learn latent representations of the DNA methylation landscape. We extract a biologically relevant latent space of LUAD and LUSC samples. It is showed that the bivariate classifiers on the further compressed latent features could classify the subtypes accurately. Through clustering of methylation-based latent space features, we demonstrate that the VAEs can capture differential methylation patterns about subtypes of lung cancer. Conclusions VAEs can distinguish the original subtypes from manually mixed methylation data frame with the encoded features of latent space. Further applications about VAEs should focus on fine-grained subtypes identification for precision medicine.

scholarly journals Epigenetics in non-small cell lung carcinomas

2019 ◽  
Vol 61 (3, may-jun) ◽  
pp. 318 ◽  
Author(s):  
Irlanda Peralta-Arrieta ◽  
Leonel Armas-López ◽  
Joaquín Zúñiga ◽  
Federico Ávila-Moreno
Keyword(s):  
Lung Cancer ◽  
Systematic Review ◽  
Molecular Complexes ◽  
Therapy Resistance ◽  
Molecular Study ◽  
Resistance Mechanisms ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cancer Epigenetics ◽  
Lung Carcinomas

Objective. To perform a systematic review of the main epi­genetic aberrations involved in non-small cell lung carcinomas’ (NSCLC) diagnosis, progression, and therapeutics. Materials and methods. We performed a systematic review of the scientific literature on lung cancer epigenetics, focusing on NSCLC. Results. Several advances in the molecular study of classical epigenetic mechanisms and massive studies of lung cancer epigenome have contributed relevant new evidence revealing that various molecular complexes are functionally influencing genetic-epigenetic and transcriptional mechanisms that promote lung tumorigenesis (initiation, promotion, and progression), and are also involved in NSCLC therapy-resistance mechanisms. Conclusion. Several epigenetic complexes and mechanisms must be analyzed and considered for the design of new and efficient therapies, which could be fundamental to develop an integrated knowledge to achieve a comprehensive lung cancer personalized medicine.

scholarly journals Lung cancer epigenetics and genetics

2008 ◽  
Vol 123 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Angela Risch ◽  
Christoph Plass
Keyword(s):  
Lung Cancer ◽  
Cancer Epigenetics

The question of irradiation therapy in lung cancer

JAMA ◽  
1966 ◽  
Vol 195 (6) ◽  
pp. 471-475 ◽  
Author(s):  
M. J. Krant
Keyword(s):  
Lung Cancer ◽  
Irradiation Therapy

Surgery for Lung Cancer and the Consequences for the Swallow

2016 ◽  
Vol 1 (13) ◽  
pp. 162-168
Author(s):  
Pippa Hales ◽  
Corinne Mossey-Gaston
Keyword(s):  
Lung Cancer ◽  
Treatment Options ◽  
Vocal Cord Palsy ◽  
Subsequent Treatment ◽  
Physiological Reserve ◽  
Palliative Phase ◽  
And Function ◽  
The Impact ◽  
Swallow Function

Lung cancer is one of the most commonly diagnosed cancers across Northern America and Europe. Treatment options offered are dependent on the type of cancer, the location of the tumor, the staging, and the overall health of the person. When surgery for lung cancer is offered, difficulty swallowing is a potential complication that can have several influencing factors. Surgical interaction with the recurrent laryngeal nerve (RLN) can lead to unilateral vocal cord palsy, altering swallow function and safety. Understanding whether the RLN has been preserved, damaged, or sacrificed is integral to understanding the effect on the swallow and the subsequent treatment options available. There is also the risk of post-surgical reduction of physiological reserve, which can reduce the strength and function of the swallow in addition to any surgery specific complications. As lung cancer has a limited prognosis, the clinician must also factor in the palliative phase, as this can further increase the burden of an already compromised swallow. By understanding the surgery and the implications this may have for the swallow, there is the potential to reduce the impact of post-surgical complications and so improve quality of life (QOL) for people with lung cancer.

Use of Tumor Markers in Lung Cancer

1994 ◽  
Vol 8 (3) ◽  
pp. 507-532 ◽  
Author(s):  
Gary M. Strauss ◽  
Arthur T. Skarin
Keyword(s):  
Lung Cancer ◽  
Tumor Markers
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