Literature DB >> 25434396

Pathologic diagnosis, immunohistochemistry, multigene assays and breast cancer treatment: progress toward "precision" cancer therapy.

D G Hicks1, B Turner.   

Abstract

Clinical decisions regarding the suitability of adjuvant systemic therapy for individual patients with breast cancer depends on comprehensive assessment of the underlying biology of each patient's tumor. The previous clinical-pathologic paradigm for treatment, which had been used for decades, now has been augmented by significant advances in molecular analysis of breast tumor tissue samples. Molecular testing has the potential to understand better both tumor biology and clinical behavior, which enables more appropriate therapy choices to be made. We review the rapid evolution in profiling breast cancer tissues, and discuss the current evidence for clinical use of this information and how the emerging molecular paradigm can be integrated into the clinical-pathologic context as we progress toward "precision" therapy for patients with breast cancer and other solid tumors.

Entities:  

Keywords:  ER; HER2; PR; breast cancer; multi-gene assay; prediction; prognosis; rtPCR

Mesh:

Substances:

Year:  2014        PMID: 25434396     DOI: 10.3109/10520295.2014.978893

Source DB:  PubMed          Journal:  Biotech Histochem        ISSN: 1052-0295            Impact factor:   1.718


  3 in total

1.  Concordance of Genomic Alterations between Circulating Tumor DNA and Matched Tumor Tissue in Chinese Patients with Breast Cancer.

Authors:  Bing Xu; Guangyu Shan; Qixi Wu; Weiwei Li; Hongjiang Wang; Hui Li; Yaping Yang; Qiming Long; Ping Zhao
Journal:  J Oncol       Date:  2020-08-27       Impact factor: 4.375

2.  Is Interleukin 10 (IL10) Expression in Breast Cancer a Marker of Poor Prognosis?

Authors:  Hemanga Kumar Bhattacharjee; Virinder Kumar Bansal; Bikash Nepal; Sandeep Srivastava; Amit K Dinda; Mahesh C Misra
Journal:  Indian J Surg Oncol       Date:  2016-02-20

3.  Risk stratification of ER-positive breast cancer patients: A multi-institutional validation and outcome study of the Rochester Modified Magee algorithm (RoMMa) and prediction of an Oncotype DX® recurrence score <26.

Authors:  Bradley M Turner; Mary Ann Gimenez-Sanders; Armen Soukiazian; Andrea C Breaux; Kristin Skinner; Michelle Shayne; Nyrie Soukiazian; Marilyn Ling; David G Hicks
Journal:  Cancer Med       Date:  2019-06-14       Impact factor: 4.452

  3 in total

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