Network Biomarker Construction for Molecular Investigation and Diagnosis of Lung Cancer via Microarray Data

2014 ◽  
pp. 3-29
Author(s):  
Yu-Chao Wang ◽  
Bor-Sen Chen
Keyword(s):  
Lung Cancer ◽  
Microarray Data ◽  
Network Biomarker ◽  
Molecular Investigation ◽  
Diagnosis Of Lung Cancer

Three-channel intelligent neoplasm classification system for the diagnosis of lung cancer

2019 ◽  
Vol 7 (3) ◽  
pp. 196-207
Author(s):  
Lev Utkin ◽  
Anna Meldo ◽  
Viktor Kryshtapovich ◽  
Viktor Tiulpin ◽  
Ernest Kasimov ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Classification System ◽  
Diagnosis Of Lung Cancer

SIALIC ACID IN THE PRIMARY AND DIFFERENTIAL DIAGNOSIS OF LUNG CANCER

2017 ◽  
Vol 63 (6) ◽  
pp. 926-932
Author(s):  
Lyudmila Belskaya ◽  
Viktor Kosenok ◽  
Ж. Массард
Keyword(s):  
Lung Cancer ◽  
Enzyme Activity ◽  
Optimization Problems ◽  
Primary Lung Cancer ◽  
Nonparametric Test ◽  
Nonsmall Cell Lung Cancer ◽  
Group Differences ◽  
Diagnosis Of Lung Cancer ◽  
And Control ◽  
Control Study

So far optimization problems for diagnostics and prognostication aids remained relevant for lung cancer as a leader in the structure of cancers. Objective: a search for regularities of changes in the saliva enzyme activity in patients with nonsmall cell lung cancer. In the case-control study, 505 people took part, divided into 2 groups: primary (lung cancer, n=290) and control (conventionally healthy, n=215). All the participants went through a questionnaire survey, saliva biochemical counts, and a histological verification of their diagnosis. The enzyme activity was measured with spectrophotometry. Between-group differences were measured with the nonparametric test. It was shown that in terms of lung cancer, we observe metabolic changes, described with the decreased de Ritis coefficient (p

Tumor Markers and Lung Cancer: Correlation between Serum and Bronchial Secretion Levels of Cea, Tpa, Canag Ca-50, Nse and Ferritin

1987 ◽  
Vol 2 (3) ◽  
pp. 151-156 ◽  
Author(s):  
Vincenzo Macchia ◽  
Angela Mariano ◽  
Mariarita Cavalcanti ◽  
Anna Coppa ◽  
Ciriaco Cecere ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Carcinoma ◽  
Simultaneous Determination ◽  
Neuron Specific Enolase ◽  
Bronchial Secretion ◽  
Lung Malignancy ◽  
Ca 50 ◽  
Oat Cell Carcinoma ◽  
Diagnosis Of Lung Cancer

The levels of carcinoembryonic antigeny (CEA), tissue polypeptide antigeny (TPA), CanAg 50, neuron specific enolase (NSE) and ferritin were determined in bronchial secretion and serum of patients with neoplastic and non-neoplastic lung diseases. Simultaneous determination of two or three markers in the serum and in bronchoalveolar lavage (BAL) may be clinically useful for the diagnosis of lung cancer and even for the type of tumor. The positivity of CEA determined simultaneously in serum and in BAL of patients with lung cancer is higher than 80% whereas in patients with benign lung disease it is lower than 40%. The simultaneous assay of TP A in serum and in BAL showed 100% positivity in patients with oat-cell carcinoma, the frequencies of positivity were similar in patients with non-oat-cell carcinoma. For NSE and CanAg CA-50 patients with oat-cell carinoma showed 100% positivity. Simultaneous assay of ferritin in serum and in BAL gave 85% positivity in patients with oat-cell carcinoma and only 23% in patients with non-oat-cell carcinoma. We conclude that the simultaneous determination of CEA and CanAg CA-50 or NSE in serum and in BAL is a useful aid in the diagnosis of lung malignancy.

scholarly journals Cytological examination of the whole endobronchial brush in bronchoscopic diagnosis of lung cancer

2002 ◽  
Vol 96 (4) ◽  
pp. 259-261 ◽  
Author(s):  
K.A GABER ◽  
J.M GOLDMAN ◽  
D.J FARRELL
Keyword(s):  
Lung Cancer ◽  
Cytological Examination ◽  
Diagnosis Of Lung Cancer

Clinical value of tumor-associated antigens and autoantibody panel combination detection in the early diagnostic of lung cancer

2021 ◽  
pp. 1-9
Author(s):  
Renren Ouyang ◽  
Shiji Wu ◽  
Bo Zhang ◽  
Ting Wang ◽  
Botao Yin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Disease ◽  
Cytokeratin 19 ◽  
Healthy Controls ◽  
Control Groups ◽  
Clinical Value ◽  
Tumor Associated Antigens ◽  
Pathological Subtype ◽  
Positive Rate ◽  
Diagnosis Of Lung Cancer

BACKGROUND: This study aimed to investigate the efficiency of combining tumor-associated antigens (TAAs) and autoantibodies in the diagnosis of lung cancer. METHODS: The serum levels of TAAs and seven autoantibodies (7-AABs) were detected from patients with lung cancer, benign lung disease and healthy controls. The performance of a new panel by combing TAAs and 7-AABs was evaluated for the early diagnosis of lung cancer. RESULTS: The positive rate of 7-AABs was higher than the single detection of antibody. The positive rate of the combined detection of 7-AABs in lung cancer group (30.2%) was significantly higher than that of healthy controls (16.8%), but had no statistical difference compared with that of benign lung disease group (20.8%). The positive rate of 7-AABs showed a tendency to increase in lung cancer patients with higher tumor-node-metastasis (TNM) stages. For the pathological subtype analysis, the positive rate of 7-AABs was higher in patients with squamous cell carcinoma and small cell lung cancer than that of adenocarcinoma. The levels of carcinoembryonic antigen (CEA) and cytokeratin 19 fragment 211 (CYFRA 211) were significantly higher than that of benign lung disease and healthy control groups. An optimal model was established (including 7-AABs, CEA and CYFRA21-1) to distinguish lung cancer from control groups. The performance of this model was superior than that of single markers, with a sensitivity of 52.26% and specificity of 77.46% in the training group. Further assessment was studied in another validation group, with a sensitivity of 44.02% and specificity of 83%. CONCLUSIONS: The diagnostic performance was enhanced by combining 7-AABs, CEA and CYFRA21-1, which has critical value for the screening and early detection of lung cancer.

scholarly journals USING FLOW CYTOMETRY IN EBUS-TBNA SAMPLES FOR THE DIAGNOSIS OF LUNG CANCER: EFFECTIVENESS AND SAFETY

CHEST Journal ◽  
2020 ◽  
Vol 157 (6) ◽  
pp. A233
Author(s):  
F. Laso Del Hierro ◽  
P. Lopez Yeste ◽  
A. Giménez Velando ◽  
C. Serrano Del Castillo ◽  
P. Llamas Sillero ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Flow Cytometry ◽  
Diagnosis Of Lung Cancer
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