Literature DB >> 1312696

High frequency of somatically acquired p53 mutations in small-cell lung cancer cell lines and tumors.

D D'Amico1, D Carbone, T Mitsudomi, M Nau, J Fedorko, E Russell, B Johnson, D Buchhagen, S Bodner, R Phelps.   

Abstract

We analysed the p53 open reading frame (ORF) in 16 small-cell lung cancer (SCLC) cell lines by direct sequencing of cDNA/PCR products and in 20 SCLC tumors by chemical cleavage and single-strand conformation polymorphism analyses of genomic DNA/PCR products. Abnormalities of p53 were found in 16/16 cell lines (100%) and in 16/20 tumors (80%). In the SCLC cell lines, mutations (59% missense, 18% nonsense and 23% splicing) changing the coding sequence were dispersed between amino acids 68 and 342. In the tumor samples, while the mutations occurred predominantly in exons 5-8, other mutations were located outside these regions. G to T transversions were common, occurring in 32% of the cases. We found no p53 mutations in the corresponding normal tissue from 19 patients whose tumors had p53 lesions, indicating that the mutations were all somatically acquired. In analysing the clinical data of the patients we found no correlation between tumor response to therapy or survival and the location or type of mutations. We conclude from these data that: (1) p53 mutations are found in SCLC with high frequency; (2) p53 mutations in a significant fraction of cases generate cDNAs with nonsense or splicing mutations; and (3) to date, these mutations have all been somatically acquired events.

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Year:  1992        PMID: 1312696

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  44 in total

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Review 3.  Lung cancer. 1: prevention of lung cancer.

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Review 4.  Targeted drugs in small-cell lung cancer.

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5.  Unraveling the genomic complexity of small cell lung cancer.

Authors:  Niki Karachaliou; Aaron E Sosa; Rafael Rosell
Journal:  Transl Lung Cancer Res       Date:  2016-08

6.  Antibodies against p53 protein in serum of patients with benign or malignant pancreatic and biliary diseases.

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7.  Proteomic profiling identifies dysregulated pathways in small cell lung cancer and novel therapeutic targets including PARP1.

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Journal:  Cancer Discov       Date:  2012-09-06       Impact factor: 39.397

8.  DNA-protein crosslinks and p53 protein expression in relation to occupational exposure to formaldehyde.

Authors:  J Shaham; Y Bomstein; R Gurvich; M Rashkovsky; Z Kaufman
Journal:  Occup Environ Med       Date:  2003-06       Impact factor: 4.402

9.  Analysis of p53, K-ras-2, and C-raf-1 in pulmonary neuroendocrine tumors. Correlation with histological subtype and clinical outcome.

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Journal:  Am J Pathol       Date:  1996-05       Impact factor: 4.307

Review 10.  Mouse models for radiation-induced cancers.

Authors:  Leena Rivina; Michael J Davoren; Robert H Schiestl
Journal:  Mutagenesis       Date:  2016-05-21       Impact factor: 3.000

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