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The Role of Serum Tumor Markers in Follow-up After Surgical Treatment of Malignant Lung Tumors
J. Vodicka, M. Skala, J. Sebek, V. Treska, J. Fichtl, K. Prochazkova, B. Vankova, M. Svaton, L. Pecen, O. Topolcan, M. Bludovska, R. Kucera
Language English Country Greece
Document type Journal Article
NLK
Free Medical Journals
from 2004 to 2 years ago
Open Access Digital Library
from 2004-01-01
- MeSH
- Adenocarcinoma of Lung blood pathology surgery MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Survival Rate MeSH
- Biomarkers, Tumor blood MeSH
- Lung Neoplasms blood pathology surgery MeSH
- Follow-Up Studies MeSH
- Carcinoma, Non-Small-Cell Lung blood pathology surgery MeSH
- Pneumonectomy mortality MeSH
- Prognosis MeSH
- Prospective Studies MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Carcinoma, Squamous Cell blood pathology surgery MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
AIM: The aim of this study was to evaluate the utility of selected tumor markers for the detection of lung cancer recurrence during follow-up. PATIENTS AND METHODS: The study group consisted of 109 patients and 109 healthy controls. The following biomarkers were selected: Carcinoembryonic antigen; cytokeratin fragment 19; neuron-specific enolase; tissue polypeptide-specific antigen; cytokeratin fragments 8, 18 and 19; insulin-like growth factor 1; pro-gastrin-releasing peptide; and 25-hydroxyvitamin D. The biomarkers were assessed individually or using a multivariate analysis. RESULTS: Carcinoembryonic antigen [area under the receiver operating characteristics curve (AUC)=0.6857, p<0.0001] and cytokeratin fragment 19 (AUC=0.6882, p<0.0001) proved best in detecting relapse. The multivariate model indicated insulin-like growth factor 1 (p=0.0006, AUC=0.6225) as the third most useful biomarker. The multivariate model using these three markers achieved the best AUC value of 0.7730 (p=0.0050). CONCLUSION: We demonstrated that carcinoembryonic antigen and cytokeratin fragment 19 play a key role in the detection of lung cancer recurrence. A multivariate approach can increase the effectiveness of detection.
References provided by Crossref.org
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- $a Vodicka, Josef $u Department of Surgery, Charles University, Faculty of Medicine in Pilsen, University Hospital in Pilsen, Pilsen, Czech Republic
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- $a AIM: The aim of this study was to evaluate the utility of selected tumor markers for the detection of lung cancer recurrence during follow-up. PATIENTS AND METHODS: The study group consisted of 109 patients and 109 healthy controls. The following biomarkers were selected: Carcinoembryonic antigen; cytokeratin fragment 19; neuron-specific enolase; tissue polypeptide-specific antigen; cytokeratin fragments 8, 18 and 19; insulin-like growth factor 1; pro-gastrin-releasing peptide; and 25-hydroxyvitamin D. The biomarkers were assessed individually or using a multivariate analysis. RESULTS: Carcinoembryonic antigen [area under the receiver operating characteristics curve (AUC)=0.6857, p<0.0001] and cytokeratin fragment 19 (AUC=0.6882, p<0.0001) proved best in detecting relapse. The multivariate model indicated insulin-like growth factor 1 (p=0.0006, AUC=0.6225) as the third most useful biomarker. The multivariate model using these three markers achieved the best AUC value of 0.7730 (p=0.0050). CONCLUSION: We demonstrated that carcinoembryonic antigen and cytokeratin fragment 19 play a key role in the detection of lung cancer recurrence. A multivariate approach can increase the effectiveness of detection.
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