Literature DB >> 16539089

Evaluating markers for the early detection of cancer: overview of study designs and methods.

Stuart G Baker1, Barnett S Kramer, Martin McIntosh, Blossom H Patterson, Yu Shyr, Steven Skates.   

Abstract

BACKGROUND: The field of cancer biomarker development has been evolving rapidly. New developments both in the biologic and statistical realms are providing increasing opportunities for evaluation of markers for both early detection and diagnosis of cancer.
PURPOSE: To review the major conceptual and methodological issues in cancer biomarker evaluation, with an emphasis on recent developments in statistical methods together with practical recommendations.
METHODS: We organized this review by type of study: preliminary performance, retrospective performance, prospective performance and cancer screening evaluation.
RESULTS: For each type of study, we discuss methodologic issues, provide examples and discuss strengths and limitations.
CONCLUSION: Preliminary performance studies are useful for quickly winnowing down the number of candidate markers; however their results may not apply to the ultimate target population, asymptomatic subjects. If stored specimens from cohort studies with clinical cancer endpoints are available, retrospective studies provide a quick and valid way to evaluate performance of the markers or changes in the markers prior to the onset of clinical symptoms. Prospective studies have a restricted role because they require large sample sizes, and, if the endpoint is cancer on biopsy, there may be bias due to overdiagnosis. Cancer screening studies require very large sample sizes and long follow-up, but are necessary for evaluating the marker as a trigger of early intervention.

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Year:  2006        PMID: 16539089     DOI: 10.1191/1740774506cn130oa

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  30 in total

1.  Biomarkers for Early Cancer Detection - Methodological Aspects.

Authors:  Paolo Verderio; Anita Mangia; Chiara M Ciniselli; Paola Tagliabue; Angelo Paradiso
Journal:  Breast Care (Basel)       Date:  2010-04-21       Impact factor: 2.860

2.  Postoperative biomarkers predict acute kidney injury and poor outcomes after pediatric cardiac surgery.

Authors:  Chirag R Parikh; Prasad Devarajan; Michael Zappitelli; Kyaw Sint; Heather Thiessen-Philbrook; Simon Li; Richard W Kim; Jay L Koyner; Steven G Coca; Charles L Edelstein; Michael G Shlipak; Amit X Garg; Catherine D Krawczeski
Journal:  J Am Soc Nephrol       Date:  2011-08-11       Impact factor: 10.121

3.  Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery.

Authors:  Chirag R Parikh; Steven G Coca; Heather Thiessen-Philbrook; Michael G Shlipak; Jay L Koyner; Zhu Wang; Charles L Edelstein; Prasad Devarajan; Uptal D Patel; Michael Zappitelli; Catherine D Krawczeski; Cary S Passik; Madhav Swaminathan; Amit X Garg
Journal:  J Am Soc Nephrol       Date:  2011-08-11       Impact factor: 10.121

4.  Sample size for positive and negative predictive value in diagnostic research using case-control designs.

Authors:  David M Steinberg; Jason Fine; Rick Chappell
Journal:  Biostatistics       Date:  2008-06-12       Impact factor: 5.899

Review 5.  New paradigms in translational science research in cancer biomarkers.

Authors:  Paul D Wagner; Sudhir Srivastava
Journal:  Transl Res       Date:  2012-02-03       Impact factor: 7.012

Review 6.  DNA methylation-based biomarkers in bladder cancer.

Authors:  Raju Kandimalla; Angela A van Tilborg; Ellen C Zwarthoff
Journal:  Nat Rev Urol       Date:  2013-04-30       Impact factor: 14.432

7.  Bayesian inference for the lead time in periodic cancer screening.

Authors:  Dongfeng Wu; Gary L Rosner; Lyle D Broemeling
Journal:  Biometrics       Date:  2007-09       Impact factor: 2.571

8.  Variations in discovery-based preeclampsia candidate genes.

Authors:  Sandra A Founds; Haiwen Shi; Yvette P Conley; Arun Jeyabalan; James M Roberts; James Lyons-Weiler
Journal:  Clin Transl Sci       Date:  2012-05-15       Impact factor: 4.689

Review 9.  Promoter methylation and the detection of breast cancer.

Authors:  Jennifer Brooks; Paul Cairns; Anne Zeleniuch-Jacquotte
Journal:  Cancer Causes Control       Date:  2009-11       Impact factor: 2.506

10.  Improving the biomarker pipeline to develop and evaluate cancer screening tests.

Authors:  Stuart G Baker
Journal:  J Natl Cancer Inst       Date:  2009-07-02       Impact factor: 13.506

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