Literature DB >> 25951740

Molecular diagnostic testing in breast cancer.

Brygida Berse, Julie A Lynch.   

Abstract

OBJECTIVES: An overview of molecular tests used in the treatment of breast cancer, organized by stage and clinical condition. DATA SOURCES: Systematic review of scientific literature, guideline recommendations, and data published by test manufacturers.
CONCLUSION: Several molecular tests that analyze expression of cancer-related genes have been validated in clinical trials and are recommended by clinical practice guidelines to inform diagnosis and treatment decisions for personalized interventions. IMPLICATIONS FOR NURSING PRACTICE: Molecular testing has become an important part of patient care for those with breast cancer. Oncology nurses must understand this methodology to prescribe tests, interpret the results, and provide guidance to patients. Published by Elsevier Inc.

Entities:  

Keywords:  Breast gene expression; breast cancer subtypes; molecular diagnostics; molecular test

Mesh:

Substances:

Year:  2015        PMID: 25951740     DOI: 10.1016/j.soncn.2015.02.008

Source DB:  PubMed          Journal:  Semin Oncol Nurs        ISSN: 0749-2081            Impact factor:   2.315


  5 in total

1.  MicroRNA-154 inhibits growth and invasion of breast cancer cells through targeting E2F5.

Authors:  Hui Xu; Dan Fei; Shan Zong; Zhimin Fan
Journal:  Am J Transl Res       Date:  2016-06-15       Impact factor: 4.060

2.  Do More With Less: Tips and Techniques for Maximizing Small Biopsy and Cytology Specimens for Molecular and Ancillary Testing: The University of Colorado Experience.

Authors:  Dara L Aisner; Mathew D Rumery; Daniel T Merrick; Kimi L Kondo; Hala Nijmeh; Derek J Linderman; Robert C Doebele; Natalie Thomas; Patrick C Chesnut; Marileila Varella-Garcia; Wilbur A Franklin; D Ross Camidge
Journal:  Arch Pathol Lab Med       Date:  2016-09-09       Impact factor: 5.534

3.  Expression and functionality of TRPV1 in breast cancer cells.

Authors:  Lea V Weber; Klaudia Al-Refae; Gerhard Wölk; Gabriele Bonatz; Janine Altmüller; Christian Becker; Günter Gisselmann; Hanns Hatt
Journal:  Breast Cancer (Dove Med Press)       Date:  2016-12-13

4.  In silico analyses identify lncRNAs: WDFY3-AS2, BDNF-AS and AFAP1-AS1 as potential prognostic factors for patients with triple-negative breast tumors.

Authors:  Daniel Rodrigues de Bastos; Maria A Nagai
Journal:  PLoS One       Date:  2020-05-13       Impact factor: 3.240

Review 5.  A review on methods for diagnosis of breast cancer cells and tissues.

Authors:  Ziyu He; Zhu Chen; Miduo Tan; Sauli Elingarami; Yuan Liu; Taotao Li; Yan Deng; Nongyue He; Song Li; Juan Fu; Wen Li
Journal:  Cell Prolif       Date:  2020-06-12       Impact factor: 6.831

  5 in total

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