CHEMICAL SELECTIVITY OF NUCLEOBASE ADDUCTION RELATIVE TO IN VIVO MUTATION SITES ON EXON 7 FRAGMENT OF P53 TUMOR

Spundana Malla1, Karteek Kadimisetty1, You-Jun Fu1

  • 1Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA.

Chemical Science
|September 30, 2015
PubMed

Insights

Researchers identified specific DNA damage sites on the p53 tumor suppressor gene linked to cancer. This method uses LC-MS/MS to detect chemical adducts, potentially predicting organ-specific cancer risks from environmental exposures.

Area of Science:

  • Molecular Biology
  • Cancer Research
  • Analytical Chemistry

Background:

  • The p53 tumor suppressor gene is frequently mutated in human cancers.
  • Specific p53 codon mutations correlate with distinct cancer types.
  • Understanding DNA damage patterns can predict cancer risks.

Purpose of the Study:

  • To develop and validate a methodology for identifying metabolite-adducted nucleobases in DNA fragments.
  • To investigate the reactivity of specific p53 codons with a known carcinogen.
  • To correlate in vitro DNA adduct formation with in vivo mutation data.

Main Methods:

  • Utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS) for analyzing DNA fragments.
  • Employed a 32 base pair double-stranded DNA fragment of p53 exon 7.
  • Exposed the DNA fragment to benzo[a]pyrene-7,8-dihydrodiol-9,10-epoxide (BPDE) and analyzed adducts.

Main Results:

  • Identified guanine bases in codons 248 and 244 as the most frequently adducted sites by BPDE.
  • These codons (248 and 244) are known mutation 'hot spots' in various human cancers.
  • Demonstrated a correlation between chemical adduct formation and mutation frequency in specific cancers.

Conclusions:

  • The developed LC-MS/MS methodology can detect metabolite-DNA adducts in large DNA fragments.
  • The findings highlight codons 248 and 244 as critical targets for BPDE-induced DNA damage.
  • This approach shows promise for predicting organ-specific cancer risks based on chemical exposures.

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