Literature DB >> 20705936

Cancer biomarkers: can we turn recent failures into success?

Eleftherios P Diamandis1.   

Abstract

Disease biomarkers are used widely in medicine. But very few biomarkers are useful for cancer diagnosis and monitoring. Over the past 15 years, major investments have been made to discover and validate cancer biomarkers. Despite such investments, no new major cancer biomarkers have been approved for clinical use for at least 25 years. In the last decade, many reports have described new cancer biomarkers that promised to revolutionize the diagnosis of cancer and the management of cancer patients. However, many initially promising biomarkers have not been validated for clinical use. In this commentary, a plethora of parameters before sample analysis, during sample analysis, and after sample analysis that can complicate biomarker discovery and validation and lead to "false discovery" are discussed. Several examples of biomarker discoveries that were published in high-profile journals are also presented, as well as why they were not validated and the lessons learned from these false discoveries, so that similar mistakes can be avoided in the future.

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Year:  2010        PMID: 20705936      PMCID: PMC2950166          DOI: 10.1093/jnci/djq306

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  37 in total

1.  Point: Proteomic patterns in biological fluids: do they represent the future of cancer diagnostics?

Authors:  Eleftherios P Diamandis
Journal:  Clin Chem       Date:  2003-08       Impact factor: 8.327

2.  Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems.

Authors:  Eleftherios P Diamandis
Journal:  J Natl Cancer Inst       Date:  2004-03-03       Impact factor: 13.506

Review 3.  Mass spectrometry as a diagnostic and a cancer biomarker discovery tool: opportunities and potential limitations.

Authors:  Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2004-02-28       Impact factor: 5.911

4.  NMR--another cancer-test disappointment.

Authors:  R Shulman
Journal:  N Engl J Med       Date:  1990-04-05       Impact factor: 91.245

5.  Lack of efficacy of water-suppressed proton nuclear magnetic resonance spectroscopy of plasma for the detection of malignant tumors.

Authors:  P Okunieff; A Zietman; J Kahn; S Singer; L J Neuringer; R A Levine; F E Evans
Journal:  N Engl J Med       Date:  1990-04-05       Impact factor: 91.245

6.  Proton nuclear magnetic resonance spectroscopy of plasma from healthy subjects and patients with cancer.

Authors:  T Engan; J Krane; O Klepp; S Kvinnsland
Journal:  N Engl J Med       Date:  1990-04-05       Impact factor: 91.245

7.  Detection of malignant tumors. Water-suppressed proton nuclear magnetic resonance spectroscopy of plasma.

Authors:  E T Fossel; J M Carr; J McDonagh
Journal:  N Engl J Med       Date:  1986-11-27       Impact factor: 91.245

8.  Use of proteomic patterns in serum to identify ovarian cancer.

Authors:  Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta
Journal:  Lancet       Date:  2002-02-16       Impact factor: 79.321

9.  Osteopontin as a potential diagnostic biomarker for ovarian cancer.

Authors:  Jae-Hoon Kim; Steven J Skates; Toshimitsu Uede; Kwong-kwok Wong; John O Schorge; Colleen M Feltmate; Ross S Berkowitz; Daniel W Cramer; Samuel C Mok
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

Review 10.  Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  Clin Chem       Date:  2003-01       Impact factor: 8.327

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  116 in total

Review 1.  Protein biomarkers of ovarian cancer: the forest and the trees.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Future Oncol       Date:  2012-01       Impact factor: 3.404

Review 2.  Analytic model for academic research productivity having factors, interactions and implications.

Authors:  Scott Kern
Journal:  Cancer Biol Ther       Date:  2011-12-01       Impact factor: 4.742

Review 3.  Screening for colorectal cancer: established and emerging modalities.

Authors:  Nikhil Pawa; Tan Arulampalam; John D Norton
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2011-11-01       Impact factor: 46.802

4.  Relative quantification of serum proteins from pancreatic ductal adenocarcinoma patients by stable isotope dilution liquid chromatography-mass spectrometry.

Authors:  Angela Y Wehr; Wei-Ting Hwang; Ian A Blair; Kenneth H Yu
Journal:  J Proteome Res       Date:  2012-02-15       Impact factor: 4.466

5.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

Review 6.  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

7.  Computational modelling of anti-angiogenic therapies based on multiparametric molecular imaging data.

Authors:  Benjamin Titz; Kevin R Kozak; Robert Jeraj
Journal:  Phys Med Biol       Date:  2012-09-13       Impact factor: 3.609

8.  Navigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies.

Authors:  Majda Haznadar; Padma Maruvada; Eliza Mette; John Milner; Steven C Moore; Holly L Nicastro; Joshua N Sampson; L Joseph Su; Mukesh Verma; Krista A Zanetti
Journal:  Metabolomics       Date:  2014-04-01       Impact factor: 4.290

Review 9.  Improving Cancer Detection and Treatment with Liquid Biopsies and ptDNA.

Authors:  Michael D Kessler; Nisha R Pawar; Stuart S Martin; Toni M Antalis; Timothy D O'Connor
Journal:  Trends Cancer       Date:  2018-08-01

Review 10.  DNA markers in molecular diagnostics for hepatocellular carcinoma.

Authors:  Ying-Hsiu Su; Selena Y Lin; Wei Song; Surbhi Jain
Journal:  Expert Rev Mol Diagn       Date:  2014-08-07       Impact factor: 5.225

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