scholarly journals EGFR mutations are significantly associated with visceral pleural invasion development in non-small-cell lung cancer patients

2019 ◽  
Vol Volume 11 ◽  
pp. 1945-1957 ◽  
Author(s):  
Jinghan Shi ◽  
Yang Yang ◽  
Yanfeng Zhao ◽  
Junjie Zhu ◽  
Xiao Song ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pleural Invasion ◽  
Visceral Pleural Invasion

scholarly journals Prediction of Pleural Invasion in Challenging Non-Small-Cell Lung Cancer Patients Using Serum and Imaging Markers

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Kaibin Zhu ◽  
Lantao Chen ◽  
Changjun He ◽  
Yaoguo Lang ◽  
Xianglong Kong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Pleural Fluid ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pleural Invasion ◽  
Pet Ct

Introduction. Preoperative detection of pleural invasion in lung cancer patients is key to curative surgical treatment. We tried to predict pleural invasion in non-small-cell lung cancer patients with <100 ml pleural fluid. Methods. Patients admitted from August 1, 2011, to December 31, 2018, were retrospectively retrieved. Records of serum and imaging markers were analyzed. Results. Among 7004 patients who received surgery, 43 cases with <100 ml pleural fluid who had pleural invasion were included, and another 108 cases without pleural invasion were enrolled as controls. There were no differences in squamous cell carcinoma antigen (SCC) or neuron-specific enolase (NSE) values between the pleural invasion and noninvasion groups (p=0.30 and 0.14, respectively), but there were significant differences in carcinoembryonic antigen (CEA) and cytokeratin 19 fragment (CYFRA21-1) values (p<0.01 and 0.01, respectively). There were significant differences in the location of original lung cancer (right mid lobe, p=0.01), maximum lung lesion diameter (p<0.01), volume of pleural fluid (nondetectable vs. detectable fluid, p<0.01), pleural sign (p=0.03), and positron emission tomography/computed tomography- (PET/CT-) predicted pleural invasion (p=0.02) between the pleural invasion and noninvasion groups. The maximum Area-Under-the-Curve in the Receiver Operating Characteristic curve analysis was achieved with the combination of CEA, CYFRA21-1, detectable pleural fluid, PET/CT prediction, pleural sign, and location of the lung lesion. Conclusions. Serum CEA and CYFRA21-1, location of original lung cancer (right mid lobe), maximum diameter, CT-detectable pleural fluid, pleural sign by CT, and PET/CT-predicted pleural invasion were good markers for the prediction of pleural invasion in non-small-cell lung cancer patients.

Prognostic impact of uncertain parietal pleural invasion at adhesion sites in non-small cell lung cancer patients

Lung Cancer ◽  
2017 ◽  
Vol 108 ◽  
pp. 103-108 ◽  
Author(s):  
Masashi Mikubo ◽  
Hiroyasu Nakashima ◽  
Masahito Naito ◽  
Yoshio Matsui ◽  
Kazu Shiomi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Prognostic Impact ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pleural Invasion ◽  
Adhesion Sites

Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients

2017 ◽  
Vol 14 (1) ◽  
pp. 58-77
Author(s):  
Sevgi Gezici ◽  
Mehmet Ozaslan ◽  
Gurler Akpinar ◽  
Murat Kasap ◽  
Maruf Sanli ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Bioinformatics Analysis ◽  
Comparative Proteomics ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients
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