scholarly journals Cross-Sectional Study of Gene Expression Analysis Identifies Critical Biological Pathways and Key Genes Implicated in Non-Small Cell Lung Cancer

2018 ◽  
Vol 20 (3) ◽  
Author(s):  
Tonglian Wang ◽  
Jing Hu ◽  
Lutong Xu ◽  
Hongbo Zhao ◽  
Yuanyue Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Gene Expression Analysis ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Biological Pathways ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Key Genes

scholarly journals A Large-scale Cross-sectional Study of ALK Rearrangements and EGFR Mutations in Non-small-cell Lung Cancer in Chinese Han Population

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Shaodong Hong ◽  
Wenfeng Fang ◽  
Zhihuang Hu ◽  
Ting Zhou ◽  
Yue Yan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Large Scale ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Egfr Mutations ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Chinese Han ◽  
Cross Sectional ◽  
Han Population

scholarly journals Human papillomavirus is not associated to non-small cell lung cancer: data from a prospective cross-sectional study

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Estela Maria Silva ◽  
Vânia Sammartino Mariano ◽  
Paula Roberta Aguiar Pastrez ◽  
Miguel Cordoba Pinto ◽  
Emily Montosa Nunes ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Human Papillomavirus ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Cancer Data

Psychological resilience and related influencing factors in postoperative non‐small cell lung cancer patients: A cross‐sectional study

2020 ◽  
Vol 29 (11) ◽  
pp. 1815-1822
Author(s):  
Shihao Chen ◽  
Ranran Mei ◽  
Chuxia Tan ◽  
Xuting Li ◽  
Chenxi Zhong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Psychological Resilience ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Lung Cancer Patients

The symptom burden of non-small cell lung cancer in the USA: a real-world cross-sectional study

2013 ◽  
Vol 22 (1) ◽  
pp. 181-187 ◽  
Author(s):  
Shrividya Iyer ◽  
Adam Roughley ◽  
Alex Rider ◽  
Gavin Taylor-Stokes
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Real World ◽  
Symptom Burden ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
The Usa

scholarly journals Can smoking duration alone replace pack-years to predict the risk of smoking-related oncogenic mutations in non-small cell lung cancer? A cross-sectional study in Japan

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035615
Author(s):  
Koichi Ogawa ◽  
Yasuhiro Koh ◽  
Hiroyasu Kaneda ◽  
Motohiro Izumi ◽  
Yoshiya Matsumoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Oncogenic Mutations ◽  
Smoking Duration

ObjectiveTo investigate whether smoking duration alone can replace pack-years to predict the risk of oncogenic mutations in non-small cell lung cancer (NSCLC).DesignA cross-sectional study using the baseline dataset from the Japan Molecular Epidemiology for Lung Cancer Study.SettingForty-three medical institutions nationwide in Japan.ParticipantsFrom July 2012 to December 2013, 957 patients with newly diagnosed stage I–IIIB NSCLC who underwent surgery were enrolled, and molecular analyses were performed on 876 samples (from 441 ever-smokers and 435 never-smokers).Main outcomes measuredWe calculated the area under the receiver operating characteristic curve (AUC) values using logistic regression to compare between the predictive values of smoking duration and pack-years for mutational frequencies in the v-Ki-ras2 Kirsten rat sarcoma (KRAS), tumour suppressor p53 (TP53), and epidermal growth factor receptor (EGFR) genes and for cytosine-to-adenine base substitution (C>A).ResultsFor predicting KRAS mutations, the AUC values for smoking duration and pack-years were 0.746 (95% CI 0.682 to 0.800) and 0.759 (95% CI 0.700 to 0.810), respectively (p=0.058). For predicting KRAS mutations in smokers, the AUC values for smoking duration and pack-years were 0.772 (95% CI 0.697 to 0.833) and 0.787 (95% CI 0.714 to 0.845), respectively (p=0.036). There were no significant differences between the AUC values for smoking duration and pack-years in terms of predicting TP53 and EGFR mutations and C>A. Pack-years was a significantly better predictor of KRAS mutations than smoking duration.ConclusionSmoking duration was not significantly different from pack-years in predicting the likelihood of smoking-related gene mutations. Given the recall bias in obtaining smoking information, smoking duration alone should be considered for further investigation as a simpler alternative to pack-years.

A cross-sectional study examining the expression of splice variants K-RAS4A and K-RAS4B in advanced non-small-cell lung cancer patients

Lung Cancer ◽  
2018 ◽  
Vol 116 ◽  
pp. 7-14
Author(s):  
Veronica Aran ◽  
Pedro Masson Domingues ◽  
Fabiane Carvalho de Macedo ◽  
Carlos Augusto Moreira de Sousa ◽  
Tatiane Caldas Montella ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Splice Variants ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Lung Cancer Patients

A cross-sectional study of vitamin intake in postoperative non-small cell lung cancer patients

1998 ◽  
Vol 68 (4) ◽  
pp. 231-236 ◽  
Author(s):  
Aminah Jatoi ◽  
Benedict D.T. Daly ◽  
Gertrude Kramer ◽  
Joel B. Mason
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cross Sectional Study ◽  
Small Cell ◽  
Sectional Study ◽  
Small Cell Lung ◽  
Cross Sectional ◽  
Lung Cancer Patients ◽  
Vitamin Intake
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