Literature DB >> 23193062

The Early Detection Research Network's Specimen reference sets: paving the way for rapid evaluation of potential biomarkers.

Ziding Feng1, Jacob Kagan, Margaret Pepe, Mark Thornquist, Jo Ann Rinaudo, Jackie Dahlgren, Karl Krueger, Yingye Zheng, Christos Patriotis, Ying Huang, Lynn Sorbara, Ian Thompson, Sudhir Srivastava.   

Abstract

BACKGROUND: The mission of the National Cancer Institute's Early Detection Research Network (EDRN) is to identify and validate cancer biomarkers for clinical use. Since its inception, EDRN investigators have learned a great deal about the process of validating biomarkers for clinical use. Translational research requires a broad spectrum of research expertise, and coordinating collaborative activities can be challenging. The EDRN has developed a robust triage and validation system that serves the roles of both "facilitator" and "brake." CONTENT: The system consists of (a) establishing a reference set of specimens collected under PRoBE (Prospective Specimen Collection Retrospective Blinded Evaluation) design criteria; (b) using the reference set to prevalidate candidate biomarkers before committing to full-scale validation; (c) performing full-scale validation for those markers that pass prevalidation testing; and (d) ensuring that the reference set is sufficiently large in numbers and volumes of sample that it can also be used to study future candidate biomarkers. This system provides rigorous and efficient evaluation of candidate biomarkers and biomarker panels. Reference sets should also be constructed to enable high-quality biomarker-discovery research.
SUMMARY: We describe the process of establishing our system in the hope that it will serve as an example of how to validate biomarkers for clinical application. We also hope that this description of the biospecimen reference sets available from the EDRN will encourage the biomarker research community--from academia or industry--to use this resource to advance biomarkers into clinical use.
© 2012 American Association for Clinical Chemistry

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Year:  2012        PMID: 23193062      PMCID: PMC3652317          DOI: 10.1373/clinchem.2012.185140

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  10 in total

1.  Evaluation of serum protein profiling by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry for the detection of prostate cancer: I. Assessment of platform reproducibility.

Authors:  O John Semmes; Ziding Feng; Bao-Ling Adam; Lionel L Banez; William L Bigbee; David Campos; Lisa H Cazares; Daniel W Chan; William E Grizzle; Elzbieta Izbicka; Jacob Kagan; Gunjan Malik; Dale McLerran; Judd W Moul; Alan Partin; Premkala Prasanna; Jason Rosenzweig; Lori J Sokoll; Shiv Srivastava; Sudhir Srivastava; Ian Thompson; Manda J Welsh; Nicole White; Marcy Winget; Yutaka Yasui; Zhen Zhang; Liu Zhu
Journal:  Clin Chem       Date:  2005-01       Impact factor: 8.327

2.  A prospective, multicenter, National Cancer Institute Early Detection Research Network study of [-2]proPSA: improving prostate cancer detection and correlating with cancer aggressiveness.

Authors:  Lori J Sokoll; Martin G Sanda; Ziding Feng; Jacob Kagan; Isaac A Mizrahi; Dennis L Broyles; Alan W Partin; Sudhir Srivastava; Ian M Thompson; John T Wei; Zhen Zhang; Daniel W Chan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05       Impact factor: 4.254

3.  Serum proteomic patterns for detection of prostate cancer.

Authors:  Emanuel F Petricoin; David K Ornstein; Cloud P Paweletz; Ali Ardekani; Paul S Hackett; Ben A Hitt; Alfredo Velassco; Christian Trucco; Laura Wiegand; Kamillah Wood; Charles B Simone; Peter J Levine; W Marston Linehan; Michael R Emmert-Buck; Seth M Steinberg; Elise C Kohn; Lance A Liotta
Journal:  J Natl Cancer Inst       Date:  2002-10-16       Impact factor: 13.506

4.  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

5.  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

6.  SELDI-TOF MS whole serum proteomic profiling with IMAC surface does not reliably detect prostate cancer.

Authors:  Dale McLerran; William E Grizzle; Ziding Feng; Ian M Thompson; William L Bigbee; Lisa H Cazares; Daniel W Chan; Jackie Dahlgren; Jose Diaz; Jacob Kagan; Daniel W Lin; Gunjan Malik; Denise Oelschlager; Alan Partin; Timothy W Randolph; Lori Sokoll; Shiv Srivastava; Sudhir Srivastava; Mark Thornquist; Dean Troyer; George L Wright; Zhen Zhang; Liu Zhu; O John Semmes
Journal:  Clin Chem       Date:  2007-11-16       Impact factor: 8.327

7.  Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men.

Authors:  Bao-Ling Adam; Yinsheng Qu; John W Davis; Michael D Ward; Mary Ann Clements; Lisa H Cazares; O John Semmes; Paul F Schellhammer; Yutaka Yasui; Ziding Feng; George L Wright
Journal:  Cancer Res       Date:  2002-07-01       Impact factor: 12.701

8.  [-2]proenzyme prostate specific antigen for prostate cancer detection: a national cancer institute early detection research network validation study.

Authors:  Lori J Sokoll; Yinghui Wang; Ziding Feng; Jacob Kagan; Alan W Partin; Martin G Sanda; Ian M Thompson; Daniel W Chan
Journal:  J Urol       Date:  2008-06-11       Impact factor: 7.450

9.  Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design.

Authors:  Margaret S Pepe; Ziding Feng; Holly Janes; Patrick M Bossuyt; John D Potter
Journal:  J Natl Cancer Inst       Date:  2008-10-07       Impact factor: 13.506

  10 in total
  24 in total

1.  Evaluation of urinary protein precipitation protocols for the multidisciplinary approach to the study of chronic pelvic pain research network.

Authors:  Karen R Jonscher; Andrea A Osypuk; Adrie van Bokhoven; M Scott Lucia
Journal:  J Biomol Tech       Date:  2014-12

2.  Standard Operating Procedures for Biospecimen Collection, Processing, and Storage: From the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer.

Authors:  William E Fisher; Zobeida Cruz-Monserrate; Amy L McElhany; Gregory B Lesinski; Phil A Hart; Ria Ghosh; George Van Buren; Douglas S Fishman; Jo Ann S Rinaudo; Jose Serrano; Sudhir Srivastava; Thomas Mace; Mark Topazian; Ziding Feng; Dhiraj Yadav; Stephen J Pandol; Steven J Hughes; Robert Y Liu; Emily Lu; Robert Orr; David C Whitcomb; Amer S Abouhamze; Hanno Steen; Zachary M Sellers; David M Troendle; Aliye Uc; Mark E Lowe; Darwin L Conwell
Journal:  Pancreas       Date:  2018 Nov/Dec       Impact factor: 3.327

3.  Study Design Considerations for Cancer Biomarker Discoveries.

Authors:  Yingye Zheng
Journal:  J Appl Lab Med       Date:  2018-09

4.  Construction and analysis of the NCI-EDRN breast cancer reference set for circulating markers of disease.

Authors:  Jeffrey R Marks; Karen S Anderson; Paul Engstrom; Andrew K Godwin; Laura J Esserman; Gary Longton; Edwin S Iversen; Anu Mathew; Christos Patriotis; Margaret S Pepe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-12-03       Impact factor: 4.254

Review 5.  Colorectal cancer biomarkers: to be or not to be? Cautionary tales from a road well travelled.

Authors:  Kim Y C Fung; Edouard Nice; Ilka Priebe; Damien Belobrajdic; Aloke Phatak; Leanne Purins; Bruce Tabor; Celine Pompeia; Trevor Lockett; Timothy E Adams; Antony Burgess; Leah Cosgrove
Journal:  World J Gastroenterol       Date:  2014-01-28       Impact factor: 5.742

6.  Group sequential testing of the predictive accuracy of a continuous biomarker with unknown prevalence.

Authors:  Joseph S Koopmeiners; Ziding Feng
Journal:  Stat Med       Date:  2015-11-04       Impact factor: 2.373

7.  Early-Phase Studies of Biomarkers: What Target Sensitivity and Specificity Values Might Confer Clinical Utility?

Authors:  Margaret S Pepe; Holly Janes; Christopher I Li; Patrick M Bossuyt; Ziding Feng; Jørgen Hilden
Journal:  Clin Chem       Date:  2016-03-21       Impact factor: 8.327

Review 8.  In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Authors:  Joshua G Cohen; Matthew White; Ana Cruz; Robin Farias-Eisner
Journal:  World J Biol Chem       Date:  2014-08-26

9.  Validation of Biomarkers for Early Detection of Pancreatic Cancer: Summary of The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection Workshop.

Authors:  Matthew R Young; Paul D Wagner; Sharmistha Ghosh; Jo Ann Rinaudo; Stuart G Baker; Kenneth S Zaret; Michael Goggins; Sudhir Srivastava
Journal:  Pancreas       Date:  2018-02       Impact factor: 3.327

10.  Adding Rigor to Biomarker Evaluations-EDRN Experience.

Authors:  Ziding Feng; Margaret S Pepe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-11-10       Impact factor: 4.254

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