Literature DB >> 16912213

Quantitative detection of p53 mutations in plasma DNA from tobacco smokers.

Nobutoshi Hagiwara1, Leah E Mechanic, Glenwood E Trivers, Helen L Cawley, Masataka Taga, Elise D Bowman, Kensuke Kumamoto, Peijun He, Mark Bernard, Saira Doja, Masao Miyashita, Takashi Tajiri, Koji Sasajima, Tsutomu Nomura, Hiroshi Makino, Ken Takahashi, S Perwez Hussain, Curtis C Harris.   

Abstract

In lung tumors, the p53 tumor suppressor gene is commonly mutated with a characteristic mutation spectrum. The amount of and alterations in plasma DNA, such as mutations in p53, were associated with several cancers. Few studies used quantitative methods of high sensitivity. Previously, we observed p53 mutations in the noncancerous tissue that differed from those in lung tumors using the highly sensitive p53 mutation load assay. Based on our observation of an increased p53 mutation load in nontumorous lung tissue in smokers, we hypothesized that plasma DNA may contain mutant p53 indicative of tobacco smoke exposure and will be an effective biomarker of lung cancer or smoking exposure. We modified the p53 mutation load assay to detect mutations at p53 codons 248 and 249, common mutations in lung cancer, in plasma DNA samples with a sensitivity of 1:5,000. The assay was applied to a set of lung cancer cases (n = 39), hospital controls (n = 21), and population controls (n = 20) from a larger study. Controls were selected to consist of equal numbers of both ever and never smokers. The p53 mutation load (mutated p53 copies per total number of p53 copies) was associated with smoking (P = 0.06), but not with lung cancer (P = 0.59). Most of the individuals with p53 mutations observed in plasma DNA were ever smokers and the p53 mutation load was higher in those who smoked for longer durations (P = 0.04). In summary, we were able to detect p53 mutations in plasma DNA from healthy individuals and our data suggest that p53 mutations in plasma DNA may be a marker of carcinogen exposure from tobacco smoke.

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Year:  2006        PMID: 16912213     DOI: 10.1158/0008-5472.CAN-06-0991

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  13 in total

Review 1.  Advances in the medical research and clinical applications on the plasma DNA.

Authors:  Shuye Wang; Yuanyuan Chen; Zhanhe Wu
Journal:  Transl Pediatr       Date:  2014-04

Review 2.  Impact of smoking status on the biological behavior of lung cancer.

Authors:  Ichiro Yoshino; Yoshihiko Maehara
Journal:  Surg Today       Date:  2007-08-27       Impact factor: 2.549

Review 3.  p53 gene in treatment of hepatic carcinoma: status quo.

Authors:  Yong-Song Guan; Zi La; Lin Yang; Qing He; Ping Li
Journal:  World J Gastroenterol       Date:  2007-02-21       Impact factor: 5.742

4.  TP53 modulating agent, CP-31398 enhances antitumor effects of ODC inhibitor in mouse model of urinary bladder transitional cell carcinoma.

Authors:  Venkateshwar Madka; Altaf Mohammed; Qian Li; Yuting Zhang; Gaurav Kumar; Stan Lightfoot; Xueru Wu; Vernon Steele; Levy Kopelovich; Chinthalapally V Rao
Journal:  Am J Cancer Res       Date:  2015-09-15       Impact factor: 6.166

Review 5.  Clinical outcomes and correlates of TP53 mutations and cancer.

Authors:  Ana I Robles; Curtis C Harris
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-03       Impact factor: 10.005

6.  Elevated epithelial insulin-like growth factor expression is a risk factor for lung cancer development.

Authors:  Woo-Young Kim; Quanri Jin; Seung-Hyun Oh; Edward S Kim; Youn Joo Yang; Dong Hoon Lee; Lei Feng; Carmen Behrens; Ludmila Prudkin; York E Miller; J Jack Lee; Scott M Lippman; Waun Ki Hong; Ignacio I Wistuba; Ho-Young Lee
Journal:  Cancer Res       Date:  2009-09-08       Impact factor: 12.701

7.  Survivin expression in normal human bronchial epithelial cells: an early and critical step in tumorigenesis induced by tobacco exposure.

Authors:  Quanri Jin; David G Menter; Li Mao; Waun Ki Hong; Ho-Young Lee
Journal:  Carcinogenesis       Date:  2008-07-16       Impact factor: 4.944

8.  Integrated analysis of miRNA and mRNA expression profiles in p53-edited PFF cells.

Authors:  Chuanmin Qiao; Weiwei Liu; Haoyun Jiang; Maozhang He; Qiang Yang; Yuyun Xing
Journal:  Cell Cycle       Date:  2020-03-26       Impact factor: 4.534

9.  Seasonal variation in TP53 R249S-mutated serum DNA with aflatoxin exposure and hepatitis B virus infection.

Authors:  Stéphanie Villar; Emilie Le Roux-Goglin; Doriane A Gouas; Amelie Plymoth; Gilles Ferro; Mathieu Boniol; Myriam Lereau; Ebrima Bah; Andrew J Hall; Christopher P Wild; Maimuna Mendy; Helene Norder; Marianne van der Sande; Hilton Whittle; Marlin D Friesen; John D Groopman; Pierre Hainaut
Journal:  Environ Health Perspect       Date:  2011-07-18       Impact factor: 9.031

Review 10.  Circulating tumour-derived nucleic acids in cancer patients: potential applications as tumour markers.

Authors:  K C A Chan; Y M D Lo
Journal:  Br J Cancer       Date:  2007-02-20       Impact factor: 7.640

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