Literature DB >> 9816102

p53 protein in non-small cell lung cancer as quantitated by enzyme-linked immunosorbent assay: relation to prognosis.

H Pappot1, D Francis, N Brünner, J Grondahl-Hansen, K Osterlind.   

Abstract

The prognostic value of p53 protein in tumor extracts as measured by ELISA was studied retrospectively in 228 non-small cell lung cancer (NSCLC) patients. The assay measures both wild-type and mutated p53. The specimens on which this study was performed have been used earlier to analyze the prognostic impact of components of the plasminogen activation system, which enabled an analysis of relationships between these components and p53 protein. The median of the p53 protein values in the 228 patients was 0.10 (range, 0-0.70) ng/mg protein. Survival analysis comparing patients with p53 levels below versus above the median showed no significant difference (P = 0.67). When analyzing the histological types, adenocarcinoma (n = 106), squamous cell carcinoma (n = 84), and large cell carcinoma of the lung (n = 38) separately, similarly, no significant differences in survival between patients having low versus high tumor p53 levels were found. When comparing levels of p53 protein in the three histological types, a significant difference (P < 0.0001) was found, with adenocarcinomas having the lowest levels. There was a weak positive correlation (r = 0.22) between p53 protein and plasminogen activator inhibitor type 1 (PAI-1). Multivariate analysis proved no impact of p53 on survival; tumor size, PAI-1, and lymph node involvement were the only variables with significant influence on survival. These data indicate that p53 protein quantitated with a sandwich ELISA in tumor extracts from NSCLC has no prognostic value, but the observed statistically significant difference of p53 protein content between histological subgroups may be related to differences in etiology and biology in different NSCLC subtypes. In addition, the weak association found between p53 protein and the independent prognostic marker PAI-1 could suggest yet undefined interactions in lung cancer.

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Year:  1996        PMID: 9816102

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  4 in total

Review 1.  Role of DMP1 and its future in lung cancer diagnostics.

Authors:  Takayuki Sugiyama; Donna P Frazier; Pankaj Taneja; Rachel L Morgan; Mark C Willingham; Kazushi Inoue
Journal:  Expert Rev Mol Diagn       Date:  2008-07       Impact factor: 5.225

Review 2.  Molecular pathology of tumor metastasis. I. Predictive pathology.

Authors:  J Tímár; O Csuka; Z Orosz; A Jeney; L Kopper
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

Review 3.  Clinical implication of p53 mutation in lung cancer.

Authors:  Barbara G Campling; Wafik S El-Deiry
Journal:  Mol Biotechnol       Date:  2003-06       Impact factor: 2.695

4.  p53 protein is absent from the serum of patients with lung cancer.

Authors:  M A Levesque; M D'Costa; E P Diamandis
Journal:  Br J Cancer       Date:  1996-11       Impact factor: 7.640

  4 in total

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