Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging

  • Livia S. Eberlin
    Department of Chemistry, Stanford University, Stanford, CA 94305-5080;
  • Robert J. Tibshirani
    Departments of Health Research and Policy and of Statistics, Stanford University, Stanford, CA 94305-4065;
  • Jialing Zhang
    Department of Chemistry, Stanford University, Stanford, CA 94305-5080;
  • Teri A. Longacre
    Department of Pathology, Stanford University, Stanford, CA 94305-5324; and
  • Gerald J. Berry
    Department of Pathology, Stanford University, Stanford, CA 94305-5324; and
  • David B. Bingham
    Department of Pathology, Stanford University, Stanford, CA 94305-5324; and
  • Jeffrey A. Norton
    Department of Surgery, Stanford University, Stanford, CA 94305-5641
  • Richard N. Zare
    Department of Chemistry, Stanford University, Stanford, CA 94305-5080;
  • George A. Poultsides
    Department of Surgery, Stanford University, Stanford, CA 94305-5641

書誌事項

公開日
2014-02-03
DOI
  • 10.1073/pnas.1400274111
公開者
Proceedings of the National Academy of Sciences

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説明

<jats:title>Significance</jats:title><jats:p>Complete resection of a tumor is associated with an improved prognosis for most types of solid malignancies. In gastric-cancer surgery, surgical-margin evaluation is commonly performed intraoperatively by histopathologic evaluation of frozen sections. However, frozen-section results are subjective and can be unreliable in up to 30% of patients undergoing resection of gastrointestinal cancers. We used desorption electrospray ionization mass spectrometric imaging (DESI-MSI) and the statistical method of least absolute shrinkage and selection operator (Lasso) to classify tissue as cancer or normal based on molecular information obtained from tissue and also to select those mass-spectra features most indicative of disease state. The results obtained using margin samples from nine gastric-cancer operations suggest that DESI-MSI/Lasso may be a valuable tool for routine intraoperative assessment of surgical margins during gastric-cancer surgery.</jats:p>

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