My NCBISign In

Display Settings:

Format

Send to:

Choose Destination
    Lancet. 2005 Oct 29-Nov 4;366(9496):1558-60.

    Effect of cruciferous vegetables on lung cancer in patients stratified by genetic status: a mendelian randomisation approach.

    Brennan P, Hsu CC, Moullan N, Szeszenia-Dabrowska N, Lissowska J, Zaridze D, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Gemignani F, Chabrier A, Hall J, Hung RJ, Boffetta P, Canzian F.

    Source

    International Agency for Research on Cancer, Lyon, France. brennan@iarc.fr

    Abstract

    Whether consumption of cruciferous vegetables protects against lung cancer is unclear, largely because of potential confounding factors. We therefore studied the role of cruciferous vegetables in lung cancer after stratifying by GSTM1 and GSTT1 status, two genes implicated in the elimination of isothiocyanates, the likely chemopreventative compound. In 2141 cases and 2168 controls, weekly consumption of cruciferous vegetables protected against lung cancer in those who were GSTM1 null (odds ratio=0.67, 95% CI 0.49-0.91), GSTT1 null (0.63, 0.37-1.07), or both (0.28, 0.11-0.67). No protective effect was seen in people who were both GSTM1 and GSTT1 positive (0.88, 0.65-1.21). Similar protective results were noted for consumption of cabbage and a combination of broccoli and brussels sprouts. These data provide strong evidence for a substantial protective effect of cruciferous vegetable consumption on lung cancer.

    PMID:
    16257343
    [PubMed - indexed for MEDLINE]

    Publication Types, MeSH Terms, Substances, Grant Support

    Publication Types

    MeSH Terms

    Substances

    Grant Support

    LinkOut - more resources

    Full Text Sources

    Other Literature Sources

    Medical

      Supplemental Content

      Icon for Elsevier Science

      Save items

      loading

      Related citations in PubMed

      See reviews... See all...

      Cited by 12 PubMed Central articles

      See all...

      Related information

      • Related Citations
        Calculated set of PubMed citations closely related to the selected article(s) retrieved using a word weight algorithm. Related articles are displayed in ranked order from most to least relevant, with the “linked from” citation displayed first.
      • Gene (OMIM)
        Gene records associated with Online Mendelian Inheritance in Man (OMIM) records that cite the current articles in their reference lists.
      • Nucleotide (Weighted)
        Nucleotide records associated with the current articles through the Gene database. These are the related sequences on the Gene record that are added manually by NCBI.
      • OMIM (calculated)
        Online Mendelian Inheritance in Man (OMIM) records that include the current articles as references in the light bulb links within or in the citations at the end of the OMIM record. The references available through the light bulb link are collected using the PubMed related articles algorithm to identify records with similar terminology to the OMIM record.
      • OMIM (cited)
        Online Mendelian Inheritance in Man (OMIM) records that include the current articles as reference cited at the end of the OMIM record.
      • Protein (Weighted)
        Protein records associated with the current articles through related Gene database records. These are the related sequences on the Gene record that are added manually by NCBI.
      • Substance (MeSH Keyword)
        PubChem chemical substance (submitted) records that are classified under the same Medical Subject Headings (MeSH) controlled vocabulary as the current articles.
      • Cited in PMC
        Full-text articles in the PubMed Central Database that cite the current articles.
      • Cited in Books
        NCBI Bookshelf books that cite the current articles.

      Recent activity

      Clear Turn Off Turn On

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      You are here: NCBI > Literature > PubMed
      Write to the Help Desk