Literature DB >> 11076995

Analysis of different versions of the IARC p53 database with respect to G-->T transversion mutation frequencies and mutation hotspots in lung cancer of smokers and non-smokers.

T Paschke1.   

Abstract

Analysis of the IARC p53 database revealed a large number of discrepancies in the classification of smoking status for identical lung cancer entries in different versions of the database. In addition, no statistically significant differences in G-->T transversion mutation frequencies or in mutational hotspots at codons 157, 248 and 273 were found in the R3 version of the database between p53 sequences from smoking and non-smoking lung cancer patients. The possible influence of confounding factors on p53 mutation spectra was demonstrated as illustrated by the impact of ethnicity on G-->T transversion mutation frequencies.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11076995     DOI: 10.1093/mutage/15.6.457

Source DB:  PubMed          Journal:  Mutagenesis        ISSN: 0267-8357            Impact factor:   3.000


  2 in total

1.  Accurate DNA fragment sizing by capillary electrophoresis with laser-induced fluorescence array for detection of sequence specificity of DNA damage.

Authors:  Erwin V Fundador; Dharamainder Choudhary; John B Schenkman; James F Rusling
Journal:  Anal Chem       Date:  2008-02-12       Impact factor: 6.986

2.  Mutant TP53 G245C and R273H promote cellular malignancy in esophageal squamous cell carcinoma.

Authors:  Nan Kang; Yu Wang; Shichao Guo; Yunwei Ou; Guangchao Wang; Jie Chen; Dan Li; Qimin Zhan
Journal:  BMC Cell Biol       Date:  2018-08-20       Impact factor: 4.241

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.