scholarly journals Heterozygous p.I171V mutation of the NBN gene as a risk factor for lung cancer development

2015 ◽  
Vol 10 (5) ◽  
pp. 3300-3304 ◽  
Author(s):  
EWELINA MARIA KAŁUŻNA ◽  
JOLANTA REMBOWSKA ◽  
IWONA ZIÓŁKOWSKA-SUCHANEK ◽  
BOGNA ŚWIĄTEK-KOŚCIELNA ◽  
PIOTR GABRYEL ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Risk Factor ◽  
Cancer Development ◽  
Nbn Gene

scholarly journals Elevated Epithelial Insulin-like Growth Factor Expression Is a Risk Factor for Lung Cancer Development

2009 ◽  
Vol 69 (18) ◽  
pp. 7439-7448 ◽  
Author(s):  
Woo-Young Kim ◽  
Quanri Jin ◽  
Seung-Hyun Oh ◽  
Edward S. Kim ◽  
Youn Joo Yang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Risk Factor ◽  
Growth Factor ◽  
Cancer Development ◽  
Insulin Like Growth Factor ◽  
Factor Expression ◽  
Growth Factor Expression

scholarly journals Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images

2020 ◽  
Vol 10 (1) ◽  
pp. 118
Author(s):  
Tania Pereira ◽  
Cláudia Freitas ◽  
José Luis Costa ◽  
Joana Morgado ◽  
Francisco Silva ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Targeted Therapies ◽  
Treatment Plan ◽  
Personalised Medicine ◽  
Growth Factor Receptor ◽  
Accurate Diagnosis ◽  
Cancer Development ◽  
Thoracic Computed Tomography ◽  
Plan Selection ◽  
Ct Image Analysis

Lung cancer is still the leading cause of cancer death in the world. For this reason, novel approaches for early and more accurate diagnosis are needed. Computer-aided decision (CAD) can be an interesting option for a noninvasive tumour characterisation based on thoracic computed tomography (CT) image analysis. Until now, radiomics have been focused on tumour features analysis, and have not considered the information on other lung structures that can have relevant features for tumour genotype classification, especially for epidermal growth factor receptor (EGFR), which is the mutation with the most successful targeted therapies. With this perspective paper, we aim to explore a comprehensive analysis of the need to combine the information from tumours with other lung structures for the next generation of CADs, which could create a high impact on targeted therapies and personalised medicine. The forthcoming artificial intelligence (AI)-based approaches for lung cancer assessment should be able to make a holistic analysis, capturing information from pathological processes involved in cancer development. The powerful and interpretable AI models allow us to identify novel biomarkers of cancer development, contributing to new insights about the pathological processes, and making a more accurate diagnosis to help in the treatment plan selection.

Smoking of hand-rolled cigarettes as a risk factor for small cell lung cancer in men: a case-control study from Uruguay

Lung Cancer ◽  
1994 ◽  
Vol 11 (3-4) ◽  
pp. 191-199 ◽  
Author(s):  
Eduardo De Stéfani ◽  
Luis Fierro ◽  
María T. Larrinaga ◽  
Julio C. Balbi ◽  
Alvaro Ronco ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Risk Factor ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Case Control Study ◽  
Case Control ◽  
Small Cell ◽  
Small Cell Lung ◽  
Control Study
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