Literature DB >> 27103546

Molecular Testing and the Pathologist's Role in Clinical Trials of Breast Cancer.

Hyo Sook Han1, Anthony M Magliocco2.   

Abstract

Molecular characterization of breast cancer is pivotal for identifying new molecular targets and determining the appropriate treatment choices. Advances in molecular profiling technology have given greater insight into this heterogeneous disease, over and above hormone receptor and human epidermal growth factor receptor 2 status. Agents targeting recently characterized molecular biomarkers are under clinical development; the success of these targeted agents is likely to depend on identifying the patient population most likely to benefit. Therefore, clinical trials of breast cancer often require prescreening for, or stratification by, relevant molecular markers or exploratory analyses of biomarkers that can predict or monitor the response to treatment. Consequently, the role of the pathologist has become increasingly important. The key considerations for pathologists include tissue availability, ownership of archival tissue, type of diagnostic/biomarker test required, method of sample processing, concordance between different tests and testing centers, and tumor heterogeneity. In the present review, we explore how pathology is used in current clinical trials of breast cancer and describe the various technologies available for molecular testing. Furthermore, the factors required for the successful application of pathology in clinical trials of breast cancer and the issues that can arise and how these can be circumvented are discussed.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Genomic technologies; Pathology; Targeted therapy

Mesh:

Substances:

Year:  2016        PMID: 27103546     DOI: 10.1016/j.clbc.2016.02.016

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  5 in total

1.  Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers.

Authors:  Cheng Lu; David Romo-Bucheli; Xiangxue Wang; Andrew Janowczyk; Shridar Ganesan; Hannah Gilmore; David Rimm; Anant Madabhushi
Journal:  Lab Invest       Date:  2018-06-29       Impact factor: 5.662

2.  Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Authors:  Melissa Treviño; George Birdsong; Ann Carrigan; Peter Choyke; Trafton Drew; Miguel Eckstein; Anna Fernandez; Brandon D Gallas; Maryellen Giger; Stephen M Hewitt; Todd S Horowitz; Yuhong V Jiang; Bonnie Kudrick; Susana Martinez-Conde; Stephen Mitroff; Linda Nebeling; Joseph Saltz; Frank Samuelson; Steven E Seltzer; Behrouz Shabestari; Lalitha Shankar; Eliot Siegel; Mike Tilkin; Jennifer S Trueblood; Alison L Van Dyke; Aradhana M Venkatesan; David Whitney; Jeremy M Wolfe
Journal:  JNCI Cancer Spectr       Date:  2022-01-05

3.  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

4.  Differences of time-dependent microRNA expressions in breast cancer cells.

Authors:  Serife Buket Bozkurt; Bahadir Ozturk; Nadir Kocak; Ali Unlu
Journal:  Noncoding RNA Res       Date:  2020-12-19

Review 5.  Testing considerations for phosphatidylinositol-3-kinase catalytic subunit alpha as an emerging biomarker in advanced breast cancer.

Authors:  Deborah L Toppmeyer; Michael F Press
Journal:  Cancer Med       Date:  2020-07-22       Impact factor: 4.452

  5 in total

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