Systematic review of statistical methods used in molecular marker studies in cancer Journal Article


Authors: Vickers, A. J.; Jang, K.; Sargent, D.; Lilja, H.; Kattan, M. W.
Article Title: Systematic review of statistical methods used in molecular marker studies in cancer
Abstract: BACKGROUND. There is wide interest in the use of molecular markers for the early detection of cancer, the prediction of disease outcome, and the selection of patients for chemotherapy. Despite significant and increasing research activity, to the authors' knowledge only a small number of molecular markers have been successfully integrated into clinical practice. In the current study, the experimental designs and statistical methods used in contemporary molecular marker studies are reviewed, particularly with respect to whether these evaluated a marker's clinical value. METHODS. MEDLINE was searched for studies that analyzed an association between a cancer outcome and a marker involving chemical analysis of body fluid or tissue. For each article, data were extracted regarding patients, markers, type of statistical analysis, and principal results. RESULTS. The 129 articles eligible for analysis included a very large variety of molecular markers; the total number of markers was larger than the number of articles. Only a minority of articles (47 articles; 36%) incorporated multivariate modeling in which the marker was added to standard clinical variables, and only a very small minority had any measure of predictive accuracy (14 articles; 11%). No article used decision analytic methods or experimentally evaluated the clinical value of a marker. Correction for overfit was also rare (3 articles). CONCLUSIONS. Statistical methods in molecular marker research have not focused on the clinical value of a marker. Attention to sound statistical practice, in particular the use of statistical approaches that provide clinically relevant information, will help maximize the promise of molecular markers for care of the cancer patient. © 2008 American Cancer Society.
Keywords: research design; chemical analysis; neoplasms; biomedical research; tumor markers, biological; molecular marker; statistical analysis; systematic review; predictive value of tests; histochemistry; forecasting; outcomes research; medline; malignant neoplastic disease; body fluid; tumor markers
Journal Title: Cancer
Volume: 112
Issue: 8
ISSN: 0008-543X
Publisher: Wiley Blackwell  
Date Published: 2008-04-15
Start Page: 1862
End Page: 1868
Language: English
DOI: 10.1002/cncr.23365
PUBMED: 18320601
PROVIDER: scopus
PMCID: PMC2675946
DOI/URL:
Notes: --- - "Cited By (since 1996): 11" - "Export Date: 17 November 2011" - "CODEN: CANCA" - "Source: Scopus"
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  1. Hans Gosta Lilja
    343 Lilja
  2. Andrew J Vickers
    880 Vickers