Literature DB >> 15685197

Bias as a threat to the validity of cancer molecular-marker research.

David F Ransohoff1.   

Abstract

Claims that molecular markers can accurately diagnose cancer have recently been disputed; some prominent results have not been reproduced and bias has been proposed to explain the original observations. As new '-omics' fields are explored to assess molecular markers for cancer, bias will increasingly be recognized as the most important 'threat to validity' that must be addressed in the design, conduct and interpretation of such research.

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Year:  2005        PMID: 15685197     DOI: 10.1038/nrc1550

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  145 in total

1.  Proteomic profiling of cerebrospinal fluid identifies prostaglandin D2 synthase as a putative biomarker for pediatric medulloblastoma: A pediatric brain tumor consortium study.

Authors:  Meena U Rajagopal; Yetrib Hathout; Tobey J MacDonald; Mark W Kieran; Sri Gururangan; Susan M Blaney; Peter Phillips; Roger Packer; Heather Gordish-Dressman; Brian R Rood
Journal:  Proteomics       Date:  2011-01-27       Impact factor: 3.984

2.  The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.

Authors:  Amanda G Paulovich; Jeffrey R Whiteaker; Andrew N Hoofnagle; Pei Wang
Journal:  Proteomics Clin Appl       Date:  2008-10-01       Impact factor: 3.494

3.  Making sense out of massive data by going beyond differential expression.

Authors:  Patrick R Schmid; Nathan P Palmer; Isaac S Kohane; Bonnie Berger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-23       Impact factor: 11.205

4.  Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  BMC Med       Date:  2012-05-29       Impact factor: 8.775

5.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  PLoS Med       Date:  2012-05-29       Impact factor: 11.069

6.  Towards consensus practices to qualify safety biomarkers for use in early drug development.

Authors:  Frank D Sistare; Frank Dieterle; Sean Troth; Daniel J Holder; David Gerhold; Dina Andrews-Cleavenger; William Baer; Graham Betton; Denise Bounous; Kevin Carl; Nathaniel Collins; Peter Goering; Federico Goodsaid; Yi-Zhong Gu; Valerie Guilpin; Ernie Harpur; Alita Hassan; David Jacobson-Kram; Peter Kasper; David Laurie; Beatriz Silva Lima; Romaldas Maciulaitis; William Mattes; Gérard Maurer; Leslie Ann Obert; Josef Ozer; Marisa Papaluca-Amati; Jonathan A Phillips; Mark Pinches; Matthew J Schipper; Karol L Thompson; Spiros Vamvakas; Jean-Marc Vidal; Jacky Vonderscher; Elizabeth Walker; Craig Webb; Yan Yu
Journal:  Nat Biotechnol       Date:  2010-05-10       Impact factor: 54.908

Review 7.  The expanding role of biomarkers in the assessment of smoking-related parenchymal lung diseases.

Authors:  Tracy J Doyle; Victor Pinto-Plata; Danielle Morse; Bartolome R Celli; Ivan O Rosas
Journal:  Chest       Date:  2012-10       Impact factor: 9.410

8.  Pancreatic cancer serum detection using a lectin/glyco-antibody array method.

Authors:  Chen Li; Diane M Simeone; Dean E Brenner; Michelle A Anderson; Kerby A Shedden; Mack T Ruffin; David M Lubman
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

9.  Analytical validation of serum proteomic profiling for diagnosis of prostate cancer: sources of sample bias.

Authors:  Dale McLerran; William E Grizzle; Ziding Feng; William L Bigbee; Lionel L Banez; Lisa H Cazares; Daniel W Chan; Jose Diaz; Elzbieta Izbicka; Jacob Kagan; David E Malehorn; Gunjan Malik; Denise Oelschlager; Alan Partin; Timothy Randolph; Nicole Rosenzweig; Shiv Srivastava; Sudhir Srivastava; Ian M Thompson; Mark Thornquist; Dean Troyer; Yutaka Yasui; Zhen Zhang; Liu Zhu; O John Semmes
Journal:  Clin Chem       Date:  2007-11-02       Impact factor: 8.327

Review 10.  Using microarrays to study the microenvironment in tumor biology: the crucial role of statistics.

Authors:  Stuart G Baker; Barnett S Kramer
Journal:  Semin Cancer Biol       Date:  2008-03-26       Impact factor: 15.707

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