Cancer progress and priorities: lung cancer
MB Schabath, ML Cote - Cancer epidemiology, biomarkers & prevention, 2019 - AACR
In the United States, lung cancer is the second most common diagnosed cancer and the
leading cause of cancer-related death. Although tobacco smoking is the major risk factor …
leading cause of cancer-related death. Although tobacco smoking is the major risk factor …
[HTML][HTML] Non-small cell lung carcinoma (NSCLC): Implications on molecular pathology and advances in early diagnostics and therapeutics
Continuous revision of the histologic and stage-wise classification of lung cancer by the
World Health Organization (WHO) provides the foundation for therapeutic advances by …
World Health Organization (WHO) provides the foundation for therapeutic advances by …
Lung cancer in patients who have never smoked—An emerging disease
J LoPiccolo, A Gusev, DC Christiani… - Nature Reviews Clinical …, 2024 - nature.com
Lung cancer is the most common cause of cancer-related deaths globally. Although smoking-
related lung cancers continue to account for the majority of diagnoses, smoking rates have …
related lung cancers continue to account for the majority of diagnoses, smoking rates have …
Association between serum copper/zinc ratio and lung cancer: A systematic review with meta-analysis
L Zhang, J Shao, SW Tan, HP Ye, XY Shan - Journal of Trace Elements in …, 2022 - Elsevier
Background Numerous studies have investigated the relationship between serum
copper/zinc ratio and lung cancer. However, the results are inconsistent. Therefore, we …
copper/zinc ratio and lung cancer. However, the results are inconsistent. Therefore, we …
[HTML][HTML] Lung cancer risk in never-smokers: An overview of environmental and genetic factors
Lung cancer is the leading cause of cancer-related mortality globally, accounting for 1.8
million deaths in 2020. While the vast majority are caused by tobacco smoking, 15%− 25 …
million deaths in 2020. While the vast majority are caused by tobacco smoking, 15%− 25 …
[HTML][HTML] Systematic review and meta-analysis of residential radon and lung cancer in never-smokers
Background Globally, radon is the leading risk factor for lung cancer in never-smokers
(LCINS). In this study, we systematically reviewed and meta-analysed the evidence of the …
(LCINS). In this study, we systematically reviewed and meta-analysed the evidence of the …
[HTML][HTML] Residential radon and histological types of lung cancer: a meta-analysis of case‒control studies
C Li, C Wang, J Yu, Y Fan, D Liu, W Zhou… - International Journal of …, 2020 - mdpi.com
Epidemiological studies on residential radon exposure and the risk of histological types of
lung cancer have yielded inconsistent results. We conducted a meta-analysis on this topic …
lung cancer have yielded inconsistent results. We conducted a meta-analysis on this topic …
Discovery of highly radon-selective metal-organic frameworks through high-throughput computational screening and experimental validation
A highly radon (Rn)-selective adsorbent is essential for the capture of radon from indoor air.
Here, an aluminum-based metal–organic framework (MOF), Al-NDC, was identified as a …
Here, an aluminum-based metal–organic framework (MOF), Al-NDC, was identified as a …
[HTML][HTML] Indoor radon monitoring in kindergarten and primary schools in South Italy
F Loffredo, I Opoku-Ntim, G Meo, M Quarto - Atmosphere, 2022 - mdpi.com
Humans are mostly exposed to ionizing radiation through radon and its decay products. The
results of indoor radon measurements in 39 kindergartens and primary schools in the …
results of indoor radon measurements in 39 kindergartens and primary schools in the …
Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery
C Li, L Bao, Y Ji, Z Tian, M Cui, Y Shi, Z Zhao… - Coordination Chemistry …, 2024 - Elsevier
Abstract Machine learning (ML) is the science of making computers learn and behave like
humans, autonomously improving their learning by providing them with data and information …
humans, autonomously improving their learning by providing them with data and information …