Early onset lung cancer, cigarette smoking and the SNP309 of the murine double minute-2 (MDM2) gene.

The polymorphism SNP309 (rs2279744) in the promoter region of the MDM2 gene has been shown to alter protein expression and may play a role in the susceptibility to lung cancer. The MDM2 protein is a key inhibitor of p53 and several mechanisms of MDM2/p53 interactions are presently known: modulating DNA-repair, cell-cycle control, cell growth and apoptosis.We used 635 Caucasian patients diagnosed with lung cancer before 51 years of age and 1300 healthy gender and age frequency matched population Caucasian controls to investigate the association between the MDM2 SNP309 and the risk of developing early onset lung cancer.

Do genetic factors protect for early onset lung cancer? A case control study before the age of 50 years.

Background: Early onset lung cancer shows some familial aggregation, pointing to a genetic predisposition. This study was set up to investigate the role of candidate genes in the susceptibility to lung cancer patients younger than 51 years at diagnosis.

Methods: 246 patients with a primary, histologically or cytologically confirmed neoplasm, recruited from 2000 to 2003 in major lung clinics across Germany, were matched to 223 unrelated healthy controls.

[Therapeutic goals and outcome measurements in COPD patients].

Due to the complex pathogenesis of chronic obstructive pulmonary disease (COPD) with systemic effects and different subjective perceptions, responses to therapy are difficult to assess. Though lung function tests correlate poorly with important features of the disease such as survival and quality of life, spirometric measures, especially forced expiratory volume (FEV(1)) and inspiratory capacity, the 6-min walk test, exacerbation indices, dyspnea scales and health status measurements remain important outcomes in clinical studies as well as in clinical practice. Markers of airway inflammation are receiving increased attention.

Fuzzy logic-based tumor marker profiles including a new marker tumor M2-PK improved sensitivity to the detection of progression in lung cancer patients.

In lung cancer patients tumor markers are used for disease monitoring. The goal of this study was to improve diagnostic efficiency in the detection of tumor progression in lung cancer patients by using fuzzy logic modeling in combination with a tumor marker panel (Tumor M2-PK, CYFRA 21-1, CEA, NSE and SCC). Thirty-three small cell lung cancers (SCLC) and 69 consecutive inoperable patients (40 squamous and 29 adenocarcinomas) were included in a prospective study.

Pro-gastrin-releasing peptide (ProGRP), neuron specific enolase (NSE), carcinoembryonic antigen (CEA) and cytokeratin 19-fragments (CYFRA 21-1) in patients with lung cancer in comparison to other lung diseases.

The study presents data comparing the new tumour marker, ProGRP, with the established markers, NSE, CYFRA 21-1 and CEA in the diagnosis of lung cancer. ProGRP as well as NSE have been reported to be useful markers for staging and monitoring treatment in patients with small cell lung cancer (SCLC). In order to determine the differences in the sensitivity and/or specificity particularly with regard to benign lung diseases, the present study investigated ProGRP in comparison to NSE, CEA and CYFRA 21-1 usually used in lung cancer.

Tumor M2-pyruvate kinase in the follow-up of inoperable lung cancer patients: a pilot study.

Tumor markers were used for disease monitoring in lung cancer patients. The goal of this pilot study was to determine the diagnostic efficiency of a new tumor metabolic marker, Tumor M2-pyruvate kinase (Tumor M2-PK) for the detection of tumor growth in inoperable lung cancer patients.Fifty-seven consecutive and primary inoperable lung cancer patients were included in this prospective study.

Fuzzy logic-based tumor-marker profiles improved sensitivity in the diagnosis of lung cancer.

Background: The aim of this study was to improve the diagnostic efficiency of tumor markers in the diagnosis of lung cancer, by the mathematical evaluation of a tumor marker profile employing fuzzy logic modelling.

Methods: A panel of four tumor markers, i.e.