Literature DB >> 26411409

Biomarkers in Breast Cancer: Where Are We and Where Are We Going?

Michael J Duffy1, Siun Walsh2, Enda W McDermott2, John Crown3.   

Abstract

Biomarkers play an important role in the detection and management of patients with breast cancer. Thus, BRCA1/2 mutation testing is used for risk assessment in families with a high prevalence of breast and ovarian cancer. Following a diagnosis of breast cancer, measurement of multi-analyte profiles such as uPA/PAI-1 or Oncotype DX may be used for determining prognosis and identifying lymph node-negative patients who may be spared from having to receive adjuvant chemotherapy. Other -gene tests such as the PAM50 ROR, Breast Cancer Index, and EndoPredict have been reported to predict the development of late recurrences and thus may be of value in selecting patients for extended hormone therapy. Mandatory assays include estrogen receptors for identification of endocrine-sensitive cancers and HER2 in selecting patients for treatment with anti-HER2 therapy (e.g., trastuzumab, lapatinib, pertuzumab, and ado-trastuzumab emtansine). Finally, serum biomarkers such as CA 15-3 or CEA may be used in monitoring therapy in patients with advanced disease receiving systemic therapy. Promising new biomarkers undergoing evaluation include circulating tumor cells and circulating tumor-derived DNA.
© 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Breast cancer; CA 15-3; Estrogen receptor; Guidelines; HER2

Mesh:

Substances:

Year:  2015        PMID: 26411409     DOI: 10.1016/bs.acc.2015.05.001

Source DB:  PubMed          Journal:  Adv Clin Chem        ISSN: 0065-2423            Impact factor:   5.394


  31 in total

Review 1.  Cyclin-dependent kinases in breast cancer: expression pattern and therapeutic implications.

Authors:  Shazia Sofi; Umar Mehraj; Hina Qayoom; Shariqa Aisha; Syed Mohammad Basheeruddin Asdaq; Abdullah Almilaibary; Manzoor A Mir
Journal:  Med Oncol       Date:  2022-04-29       Impact factor: 3.064

2.  Soluble POSTN is a novel biomarker complementing CA153 and CEA for breast cancer diagnosis and metastasis prediction.

Authors:  Li Jia; Guanhua Li; Na Ma; Aimin Zhang; Yunli Zhou; Li Ren; Dong Dong
Journal:  BMC Cancer       Date:  2022-07-12       Impact factor: 4.638

3.  Consensus of the Spanish society of laboratory medicine and the Spanish society of medical oncology on the methodology and criteria for evaluation of circulating tumour markers in breast cancer.

Authors:  F Ayala de la Peña; B Ortiz-Muñoz; T Quintanar-Verdúguez; J D Santotoribio; S de la Cruz; J Trapé-Pujol; E Galve-Calvo; J M Augé-Fradera; J García-Gómez; Á González-Hernández
Journal:  Clin Transl Oncol       Date:  2021-02-07       Impact factor: 3.405

4.  Women's Expectations for Breast Cancer Prevention and Early Detection: High Expectations Can Be Achieved.

Authors:  Powel Brown
Journal:  Oncologist       Date:  2015-12-16

5.  Ginkgolic acids inhibit migration in breast cancer cells by inhibition of NEMO sumoylation and NF-κB activity.

Authors:  Sami Hamdoun; Thomas Efferth
Journal:  Oncotarget       Date:  2017-05-23

Review 6.  The diagnostic role of microRNA-34a in breast cancer: a systematic review and meta-analysis.

Authors:  Saber Imani; Xianqin Zhang; Hossein Hosseinifard; Shangyi Fu; Junjiang Fu
Journal:  Oncotarget       Date:  2017-04-04

7.  Ancient genes can be served as pan-cancer diagnostic and prognostic biomarkers.

Authors:  Xiangwen Ji; Qinghua Cui
Journal:  J Cell Mol Med       Date:  2020-05-05       Impact factor: 5.310

8.  Macrodissection prior to closed system RT-qPCR is not necessary for estrogen receptor and HER2 concordance with IHC/FISH in breast cancer.

Authors:  Swati Gupta; Navin R Mani; Daniel E Carvajal-Hausdorf; Veerle Bossuyt; Kenneth Ho; Jodi Weidler; Wendy Wong; Brian Rhees; Michael Bates; David L Rimm
Journal:  Lab Invest       Date:  2018-06-01       Impact factor: 5.662

9.  High concordance of a closed-system, RT-qPCR breast cancer assay for HER2 mRNA, compared to clinically determined immunohistochemistry, fluorescence in situ hybridization, and quantitative immunofluorescence.

Authors:  Brad E Wasserman; Daniel E Carvajal-Hausdorf; Kenneth Ho; Wendy Wong; Natalie Wu; Victor C Chu; Edwin W Lai; Jodi M Weidler; Michael Bates; Veronique Neumeister; David L Rimm
Journal:  Lab Invest       Date:  2017-09-11       Impact factor: 5.662

10.  Cell division cycle proteinising prognostic biomarker of breast cancer.

Authors:  Lin Cheng; Yu-Zhou Huang; Wei-Xian Chen; Liang Shi; Zhi Li; Xu Zhang; Xin-Yuan Dai; Ji-Fu Wei; Qiang Ding
Journal:  Biosci Rep       Date:  2020-05-29       Impact factor: 3.840

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