The enhancer rare germline variation rs548071605 contributes to lung cancer development

2021 ◽  
Author(s):  
Xuchun Wang ◽  
He Cheng ◽  
Yin Yang ◽  
Xianglin Zuo ◽  
Lipei Shao ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
pp. 118
Author(s):  
Tania Pereira ◽  
Cláudia Freitas ◽  
José Luis Costa ◽  
Joana Morgado ◽  
Francisco Silva ◽  
...  

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.


Medicine ◽  
2016 ◽  
Vol 95 (50) ◽  
pp. e5716 ◽  
Author(s):  
Yasunori Enomoto ◽  
Naoki Inui ◽  
Katsuhiro Yoshimura ◽  
Koji Nishimoto ◽  
Kazutaka Mori ◽  
...  

Endocrinology ◽  
2011 ◽  
Vol 152 (6) ◽  
pp. 2164-2173 ◽  
Author(s):  
Woo-Young Kim ◽  
Mi-Jung Kim ◽  
Hojin Moon ◽  
Ping Yuan ◽  
Jin-Soo Kim ◽  
...  

The IGF axis has been implicated in the risk of various cancers. We previously reported a potential role of tissue-derived IGF in lung tumor formation and progression. However, the role of IGF-binding protein (IGFBP)-3, a major IGFBP, on the activity of tissue-driven IGF in lung cancer development is largely unknown. Here, we show that IGF-I, but not IGF-II, protein levels in non-small-cell lung cancer (NSCLC) were significantly higher than those in normal and hyperplastic bronchial epithelium. We found that IGF-I and IGFBP-3 levels in NSCLC tissue specimens were significantly correlated with phosphorylated IGF-IR (pIGF-IR) expression. We investigated the impact of IGFBP-3 expression on the activity of tissue-driven IGF-I in lung cancer development using mice carrying lung-specific human IGF-I transgene (Tg), a germline-null mutation of IGFBP-3, or both. Compared with wild-type (BP3+/+) mice, mice carrying heterozygous (BP3+/−) or homozygous (BP3−/−) deletion of IGFBP-3 alleles exhibited decreases in circulating IGFBP-3 and IGF-I. Unexpectedly, IGFTg mice with 50% of physiological IGFBP-3 (BP3+/−; IGFTg) showed higher levels of pIGF-IR/IR and a greater degree of spontaneous or tobacco carcinogen [4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone]-induced lung tumor development and progression than did the IGFTg mice with normal (BP3+/+;IGFTg) or homozygous deletion of IGFBP-3 (BP3−/−; IGFTg). These data show that IGF-I is overexpressed in NSCLC, leading to activation of IGF-IR, and that IGFBP-3, depending on its expression level, either inhibits or potentiates IGF-I actions in lung carcinogenesis.


Oncogene ◽  
2018 ◽  
Vol 38 (14) ◽  
pp. 2580-2594 ◽  
Author(s):  
Yo-Taro Shirai ◽  
Anna Mizutani ◽  
Saori Nishijima ◽  
Masafumi Horie ◽  
Chisato Kikuguchi ◽  
...  

Gene ◽  
2019 ◽  
Vol 687 ◽  
pp. 193-199 ◽  
Author(s):  
Jixiang Wu ◽  
Keshuai He ◽  
Yajun Zhang ◽  
Jixiang Song ◽  
Zhan Shi ◽  
...  

2021 ◽  
Vol 10 (3) ◽  
pp. 1444-1456
Author(s):  
Jinghan Shi ◽  
Fujun Yang ◽  
Nanfeng Zhou ◽  
Yan Jiang ◽  
Yanfeng Zhao ◽  
...  

2018 ◽  
pp. canres.3297.2017 ◽  
Author(s):  
Lisanne Heim ◽  
Juliane Friedrich ◽  
Marina Engelhardt ◽  
Denis I Trufa ◽  
Carol I. Geppert ◽  
...  

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