Literature DB >> 25458054

Biomarker validation and testing.

Daniel F Hayes1.   

Abstract

A tumor biomarker is a molecular or process-based change that reflects the status of an underlying malignancy. A tumor biomarker may be identified and measured by one or more assays, or tests, for the biomarker. Increasingly, tumor biomarker tests are being used to drive patient management, either by identifying patients who do not require any, or any further, treatment, or by identifying patients whose tumors are so unlikely to respond to a given type of treatment that it will cause more harm than good. A tumor biomarker assay should only be used to guide management if it has analytical validity, meaning that it is accurate, reproducible, and reliable, and if it has been shown to have clinical utility. The latter implies that high levels of evidence are available that demonstrate that application of the tumor biomarker test for a given use context results in better outcomes, or similar outcomes with less cost, than if the assay were not applied. Use contexts include risk categorization, screening, differential diagnosis, prognosis, prediction of therapeutic activity or monitoring disease course. Very few tumor biomarker tests have passed these high bars for routine clinical application. However, if tumor biomarker tests are going to be used to drive patient care, than an understanding, and careful assessment, of these concepts are essential, since "A Bad Tumor Biomarker Test Is as Bad as a Bad Drug."
Copyright © 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Level of evidence; Tumor biomarkers; Validation

Mesh:

Substances:

Year:  2014        PMID: 25458054      PMCID: PMC5528748          DOI: 10.1016/j.molonc.2014.10.004

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


  17 in total

Review 1.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials.

Authors:  D Moher; K F Schulz; D G Altman
Journal:  Ann Intern Med       Date:  2001-04-17       Impact factor: 25.391

Review 2.  Uses and abuses of tumor markers in the diagnosis, monitoring, and treatment of primary and metastatic breast cancer.

Authors:  N Lynn Henry; Daniel F Hayes
Journal:  Oncologist       Date:  2006-06

3.  Randomized clinical trials with biomarkers: design issues.

Authors:  Boris Freidlin; Lisa M McShane; Edward L Korn
Journal:  J Natl Cancer Inst       Date:  2010-01-14       Impact factor: 13.506

4.  Personalizing cancer care: American Society of Clinical Oncology presidential address 2009.

Authors:  Richard L Schilsky
Journal:  J Clin Oncol       Date:  2009-07-06       Impact factor: 44.544

5.  Use of archived specimens in evaluation of prognostic and predictive biomarkers.

Authors:  Richard M Simon; Soonmyung Paik; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2009-10-08       Impact factor: 13.506

Review 6.  Clinical trial designs for predictive marker validation in cancer treatment trials.

Authors:  Daniel J Sargent; Barbara A Conley; Carmen Allegra; Laurence Collette
Journal:  J Clin Oncol       Date:  2005-03-20       Impact factor: 44.544

Review 7.  Biomarker studies: a call for a comprehensive biomarker study registry.

Authors:  Fabrice Andre; Lisa M McShane; Stefan Michiels; David F Ransohoff; Douglas G Altman; Jorge S Reis-Filho; Daniel F Hayes; Lajos Pusztai
Journal:  Nat Rev Clin Oncol       Date:  2011-03       Impact factor: 66.675

Review 8.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version).

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
Journal:  Arch Pathol Lab Med       Date:  2010-07       Impact factor: 5.534

9.  The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group.

Authors:  Steven M Teutsch; Linda A Bradley; Glenn E Palomaki; James E Haddow; Margaret Piper; Ned Calonge; W David Dotson; Michael P Douglas; Alfred O Berg
Journal:  Genet Med       Date:  2009-01       Impact factor: 8.822

Review 10.  American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer.

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
Journal:  J Clin Oncol       Date:  2010-04-19       Impact factor: 44.544

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  40 in total

Review 1.  Head and Neck Squamous Cell Carcinoma Detection and Surveillance: Advances of Liquid Biomarkers.

Authors:  Paul L Swiecicki; Julia R Brennan; Michelle Mierzwa; Matthew E Spector; J Chad Brenner
Journal:  Laryngoscope       Date:  2018-12-20       Impact factor: 3.325

Review 2.  Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging.

Authors:  E Sala; E Mema; Y Himoto; H Veeraraghavan; J D Brenton; A Snyder; B Weigelt; H A Vargas
Journal:  Clin Radiol       Date:  2016-10-11       Impact factor: 2.350

Review 3.  Tumor Mutational Burden as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors: A Review of Current Evidence.

Authors:  Samuel J Klempner; David Fabrizio; Shalmali Bane; Marcia Reinhart; Tim Peoples; Siraj M Ali; Ethan S Sokol; Garrett Frampton; Alexa B Schrock; Rachel Anhorn; Prasanth Reddy
Journal:  Oncologist       Date:  2019-10-02

4.  Traditional and Digital Biomarkers: Two Worlds Apart?

Authors:  Lmar M Babrak; Joseph Menetski; Michael Rebhan; Giovanni Nisato; Marc Zinggeler; Noé Brasier; Katja Baerenfaller; Thomas Brenzikofer; Laurenz Baltzer; Christian Vogler; Leo Gschwind; Cornelia Schneider; Fabian Streiff; Peter M A Groenen; Enkelejda Miho
Journal:  Digit Biomark       Date:  2019-08-16

Review 5.  Radiomics with artificial intelligence: a practical guide for beginners.

Authors:  Burak Koçak; Emine Şebnem Durmaz; Ece Ateş; Özgür Kılıçkesmez
Journal:  Diagn Interv Radiol       Date:  2019-11       Impact factor: 2.630

Review 6.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

7.  Prognostic and predictive parameters in breast pathology: a pathologist's primer.

Authors:  Kimberly H Allison
Journal:  Mod Pathol       Date:  2020-11-05       Impact factor: 7.842

8.  Prospective Validation of a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Edith A Perez; John A Olson; JoAnne Zujewski; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; James N Atkins; Jeffrey L Berenberg; George W Sledge
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

Review 9.  Therapeutic significance of β-glucuronidase activity and its inhibitors: A review.

Authors:  Paul Awolade; Nosipho Cele; Nagaraju Kerru; Lalitha Gummidi; Ebenezer Oluwakemi; Parvesh Singh
Journal:  Eur J Med Chem       Date:  2019-12-04       Impact factor: 6.514

Review 10.  Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Authors:  Vipin Dalal; Joseph Carmicheal; Amaninder Dhaliwal; Maneesh Jain; Sukhwinder Kaur; Surinder K Batra
Journal:  Cancer Lett       Date:  2019-10-17       Impact factor: 8.679

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