Literature DB >> 20477439

Biomarkers in oncology research and treatment: early detection research network: a collaborative approach.

Victoria Moncada1, Sudhir Srivastava.   

Abstract

Several important criteria are essential for the development of biomarkers in clinical oncology. First, the biomarkers should be easily measured using standardized and cost-efficient methods. Second, biomarkers should be easily attainable from clinical materials such as body fluids and cells. Third, biomarkers should have clearly defined cutoff values with high sensitivity and specificity. Lastly, the predictive value of biomarkers should be possible in strata as large as possible. Single biomarkers may not be able to meet all of these criteria, which necessitates the development of biomarker panels. High-throughput technologies will be necessary for measuring these biomarker sets and translation of these methods into a clinical setting will be necessary in order to employ these biomarkers in a healthcare setting. One of the most important aspects of biomarker development will be standardization and statistical evaluation of biomarker studies. Guidelines for biomarker studies need to be developed that will enable standardization to take place. The Early Detection Research Network has been in the forefront of this objective. Early detection of cancer through appropriately validated biomarkers will provide for decreased morbidity and mortality and allow for the development of new therapeutic tools targeted specifically toward eradication of these early malignancies, hopefully increasing the survival rate of patients diagnosed with early-stage cancer.

Entities:  

Year:  2008        PMID: 20477439     DOI: 10.2217/17520363.2.2.181

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  4 in total

Review 1.  Measurement of biomarker proteins for point-of-care early detection and monitoring of cancer.

Authors:  James F Rusling; Challa V Kumar; J Silvio Gutkind; Vyomesh Patel
Journal:  Analyst       Date:  2010-07-08       Impact factor: 4.616

Review 2.  A novel knowledge representation framework for the statistical validation of quantitative imaging biomarkers.

Authors:  Andrew J Buckler; David Paik; Matt Ouellette; Jovanna Danagoulian; Gary Wernsing; Baris E Suzek
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

Review 3.  Electrochemistry-based approaches to low cost, high sensitivity, automated, multiplexed protein immunoassays for cancer diagnostics.

Authors:  Chandra K Dixit; Karteek Kadimisetty; Brunah A Otieno; Chi Tang; Spundana Malla; Colleen E Krause; James F Rusling
Journal:  Analyst       Date:  2015-11-03       Impact factor: 4.616

Review 4.  Proteomic and metabolic prediction of response to therapy in gastrointestinal cancers.

Authors:  Ken Herrmann; Axel Walch; Benjamin Balluff; Marc Tänzer; Heinz Höfler; Bernd J Krause; Markus Schwaiger; Helmut Friess; Roland M Schmid; Matthias P A Ebert
Journal:  Nat Clin Pract Gastroenterol Hepatol       Date:  2009-03
  4 in total

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