scholarly journals Assessment of Diagnostic Accuracy of Bronchoalveolar Lavage Cytology in the Diagnosis of Lung Tumors and Contribution to the Classification of Non-Small Cell Lung Cancer Entities: A Retrospective Clinocopathological Study

2013 ◽  
Vol 03 (03) ◽  
pp. 107-112
Author(s):  
Annette Zimpfer ◽  
Antonia Polak ◽  
Andrea Bier ◽  
Guenther Kundt ◽  
Jana Kölbel ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Bronchoalveolar Lavage ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Lung Tumors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lavage Cytology

scholarly journals Classification of Non-Small Cell Lung Cancer Based on Copy Number Alterations

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88300 ◽  
Author(s):  
Bi-Qing Li ◽  
Jin You ◽  
Tao Huang ◽  
Yu-Dong Cai
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Small Cell ◽  
Copy Number Alterations ◽  
Small Cell Lung

scholarly journals The Diagnostic Role of Sputum miRNA in Non-Small Cell Lung Cancer

2020 ◽  
Author(s):  
Zaoxiu Hu ◽  
Yonghe Zhao ◽  
Yanlong Yang ◽  
Zhenghai Shen ◽  
Yunchao Huang
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Early Stage ◽  
Small Cell ◽  
Stage I ◽  
Small Cell Lung ◽  
Diagnostic Role

Abstract Objective: Recent studies indicated sputum miRNAs may provide a promising approach for non-small cell lung cancer (NSCLC) diagnosis. But some results were still inconsistent. So, we performed meta-analysis to evaluate the diagnostic role of sputum miRNAs for the detection of NSCLC.Methods: Eligible studies that estimated the diagnostic accuracy of sputum miRNAs in NSCLC were searched in Pubmed, Embase and Web of Science and Chinese National Knowledge Infrastructure (CNKI). Data from the eligible studies were collected and pooled; sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratios, weighted symmetric summary ROC curve and the area under the curve (AUC) were calculated by bi-variate random effects model. The between-study heterogeneity was evaluated by Q test and I2 statistics.Results: 30 studies from 16 articles were included for analysis. The overall analysis yielded the sensitivity of 0.77 (95% CI: 0.73–0.81) and specificity of 0.87 (95% CI: 0.83–0.90), with an area under the SROC curve (AUC) of 0.89 (95% CI: 0.86–0.91). Subgroup analysis revealed the diagnostic accuracy in multiple miRNAs studies was higher than single miRNA (the sensitivity, specifcity and an AUC of multiple miRNAs were 0.76, 0.88 and 0.90; and for single miRNA, it was 0.74, 0.74, and 0.80). The diagnostic performance in early stage NSCLC was also very high (the sensitivity, specifcity and an AUC of stage I/II was 0.76, 0.88 and 0.91; and for stage I, it was 0.79, 0.85, and 0.87). We also found miR-210, miR-21, miR-31 and miR-126-3p might serve as potential biomarkers for lung cancer.Conclusion: Sputum miRNAs was useful noninvasive biomarkers for NSCLC diagnosis.

Prognostic factors for survival in advanced non-small-cell lung cancer: univariate and multivariate analyses including recursive partitioning and amalgamation algorithms in 1,052 patients. The European Lung Cancer Working Party.

1995 ◽  
Vol 13 (5) ◽  
pp. 1221-1230 ◽  
Author(s):  
M Paesmans ◽  
J P Sculier ◽  
P Libert ◽  
G Bureau ◽  
G Dabouis ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Recursive Partitioning ◽  
Working Party ◽  
Small Cell ◽  
Small Cell Lung

PURPOSE This study attempted to determine the prognostic value for survival of various pretreatment characteristics in patients with nonresectable non-small-cell lung cancer in the context of more than 10 years of experience of a European Cooperative Group. PATIENTS AND METHODS We included in the analysis all eligible patients (N = 1,052) with advanced non-small-cell lung cancer registered onto one of seven trials conducted by the European Lung Cancer Working Party (ELCWP) during one decade. The patients were treated by chemotherapy regimens based on platinum derivatives. We prospectively collected 23 variables and analyzed them by univariate and multivariate methods. RESULTS The global estimated median survival time was 29 weeks, with a 95% confidence interval of 27 to 30 weeks. After univariate analysis, we applied two multivariate statistical techniques. In a Cox regression model, the selected explanatory variables were disease extent, Karnofsky performance status, WBC and neutrophil counts, metastatic involvement of skin, serum calcium level, age, and sex. These results were confirmed by application of recursive partitioning and amalgamation algorithms (RECPAM), which led to classification of the patients into four homogeneous subgroups. CONCLUSION We confirmed by our analysis the role of well-known independent prognostic factors for survival, but also identified the effect of the neutrophil count, rarely studied, with the use of two methods: a classical Cox regression model and a RECPAM analysis. The classification of patients into the four subgroups we obtained needs to be validated in other series.

scholarly journals Pleural lavage cytology in non–small cell lung cancer: lessons from 1000 consecutive resections

2003 ◽  
Vol 126 (6) ◽  
pp. 1911-1915 ◽  
Author(s):  
Morihito Okada ◽  
Toshihiko Sakamoto ◽  
Wataru Nishio ◽  
Kazuya Uchino ◽  
Kenji Tsuboshima ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lavage Cytology ◽  
Pleural Lavage Cytology ◽  
Pleural Lavage

Diagnostic sub-classification of non-small cell lung cancer: Importance in clinical therapeutics and prognostication

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 9597-9597
Author(s):  
M. J. Donovan ◽  
A. Kotsianti ◽  
A. Colomer ◽  
M. Verdu ◽  
M. Clayton ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Clinical Therapeutics
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