Literature DB >> 15322312

Prognostic and predictive markers in cancer.

Barbara A Conley1, Sheila E Taube.   

Abstract

The elucidation of the human genome and advances in knowledge about molecular abnormalities, signaling pathways, influence of the local tissue milieu and the relevance of genetic polymorphisms offer hope of designing more effective, individualized cancer treatment plans. Although the scientific and medical literature is replete with reports of putative prognostic or predictive markers for cancer, few new diagnostics have been incorporated into routine clinical practice. Criteria are needed to a) identify markers that have the promise to be clinically useful; b) assess the best methodology for clinical evaluation of the markers in question and c) confirm or validate that using the marker adds useful information compared to using standard prognostic factors alone. This review presents a methodology for the clinical evaluation of putative prognostic and predictive markers in cancer, with considerations of pitfalls in the early evaluation, rationale for development and optimization of assay methodology, and examples of possible clinical trials for assessing the clinical utility of putative markers.

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Year:  2004        PMID: 15322312      PMCID: PMC3839402          DOI: 10.1155/2004/202031

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


  11 in total

1.  Predictive biomarker validation in practice: lessons from real trials.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  Clin Trials       Date:  2010-04-14       Impact factor: 2.486

2.  Clinical trial designs for predictive biomarker validation: theoretical considerations and practical challenges.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  J Clin Oncol       Date:  2009-07-13       Impact factor: 44.544

Review 3.  Turning laboratory findings into therapy: a marathon goal that has to be reached.

Authors:  Beatrix Kotlan; David F Stroncek; Francesco M Marincola
Journal:  Pol Arch Med Wewn       Date:  2009-09

4.  Clinical trial designs for predictive biomarker validation: one size does not fit all.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  J Biopharm Stat       Date:  2009       Impact factor: 1.051

Review 5.  Incorporation of prognostic and predictive factors into glioma clinical trials.

Authors:  Derek R Johnson; Evanthia Galanis
Journal:  Curr Oncol Rep       Date:  2013-02       Impact factor: 5.075

Review 6.  Biomarkers of clinical responsiveness in brain tumor patients : progress and potential.

Authors:  Areej El-Jawahri; Disha Patel; Min Zhang; Nikol Mladkova; Arnab Chakravarti
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

Review 7.  Systematic review of statistical methods used in molecular marker studies in cancer.

Authors:  Andrew J Vickers; Kwang Jang; Daniel Sargent; Hans Lilja; Michael W Kattan
Journal:  Cancer       Date:  2008-04-15       Impact factor: 6.860

Review 8.  Prognostic and predictive biomarkers in adult and pediatric gliomas: toward personalized treatment.

Authors:  Harry R Haynes; Sandra Camelo-Piragua; Kathreena M Kurian
Journal:  Front Oncol       Date:  2014-03-24       Impact factor: 6.244

9.  Genomic advances and their impact on clinical trial design.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  Genome Med       Date:  2009-07-13       Impact factor: 11.117

10.  Serum Analysis of Women with Early-Stage Breast Cancer Using a Mini-Array of Tumor-Associated Antigens.

Authors:  Alma Rosa Oaxaca-Camacho; Oscar René Ochoa-Mojica; Adriana Aguilar-Lemarroy; Luis F Jave-Suárez; José Francisco Muñoz-Valle; Eduardo Padilla-Camberos; Juan Antonio Núñez-Hernández; Sara E Herrera-Rodríguez; Moisés Martínez-Velázquez; Ahtziri Socorro Carranza-Aranda; José Alfonso Cruz-Ramos; Abel Gutiérrez-Ortega; Rodolfo Hernández-Gutiérrez
Journal:  Biosensors (Basel)       Date:  2020-10-21
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