Literature DB >> 26307395

Breast cancer circulating biomarkers: advantages, drawbacks, and new insights.

Andrea Ravelli1, James M Reuben2, Francesco Lanza1, Simone Anfossi2, Maria Rosa Cappelletti3, Laura Zanotti3, Angela Gobbi3, Chiara Senti3, Paola Brambilla1, Manuela Milani3, Daniele Spada3, Paolo Pedrazzoli4, Massimo Martino5, Alberto Bottini3, Daniele Generali6.   

Abstract

As of today, the level of individualization of cancer therapies has reached a level that 20 years ago would be considered visionary. However, most of the diagnostic, prognostic, and therapy-predictive procedures which aim to improve the overall level of personalization are based on the evaluation of tumor tissue samples, therefore requiring surgical operations with consequent low compliance for patients and high costs for the hospital. Hence, the research of a panel of circulating indicators which may serve as source of information about tumor characteristics and which may be obtainable by a simple withdrawal of peripheral blood today represents a growing field of interest. This review aims to objectively summarize the characteristics of the currently available breast cancer circulating biomarkers, also providing an overview about the multitude of novel potential soluble predictors which are still under evaluation. Specifically, the usefulness of a so-called "liquid biopsy" will be discussed in terms of improvements of diagnosis, prognosis, and therapy-prediction, but an overview will be given also on the potentiality of the molecular characterization arising from the isolation of circulating biomarkers and cells. Although this review will focus on the specific case of the breast, in the future liquid biopsies will hopefully be available for virtually any type of neoplasms.

Entities:  

Keywords:  Breast cancer circulating biomarkers; Breast cancer liquid biopsy; Circulating DNA; Circulating microRNA; Circulating tumor cells; Microvesicles and exosomes

Mesh:

Substances:

Year:  2015        PMID: 26307395     DOI: 10.1007/s13277-015-3944-7

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  92 in total

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Authors:  Natalia Krawczyk; Franziska Meier-Stiegen; Malgorzata Banys; Hans Neubauer; Eugen Ruckhaeberle; Tanja Fehm
Journal:  Biomed Res Int       Date:  2014-05-08       Impact factor: 3.411

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  8 in total

1.  Prognostic Impact of the Tumor Marker CA 15-3 in Patients With Breast Cancer and Bone Metastases Treated With Palliative Radiotherapy.

Authors:  Carsten Nieder; Astrid Dalhaug; Ellinor Haukland; Bard Mannsaker; Adam Pawinski
Journal:  J Clin Med Res       Date:  2017-01-25

2.  A novel panel of serum miR-21/miR-155/miR-365 as a potential diagnostic biomarker for breast cancer.

Authors:  Ji-Guang Han; Yong-Dong Jiang; Chun-Hui Zhang; Yan-Mei Yang; Da Pang; Yan-Ni Song; Guo-Qiang Zhang
Journal:  Ann Surg Treat Res       Date:  2017-01-31       Impact factor: 1.859

3.  Periostin is identified as a putative metastatic marker in breast cancer-derived exosomes.

Authors:  Ioulia Vardaki; Sophia Ceder; Dorothea Rutishauser; George Baltatzis; Theodoros Foukakis; Theocharis Panaretakis
Journal:  Oncotarget       Date:  2016-11-15

Review 4.  Detecting Blood-Based Biomarkers in Metastatic Breast Cancer: A Systematic Review of Their Current Status and Clinical Utility.

Authors:  A M Sofie Berghuis; Hendrik Koffijberg; Jai Prakash; Leon W M M Terstappen; Maarten J IJzerman
Journal:  Int J Mol Sci       Date:  2017-02-09       Impact factor: 5.923

Review 5.  Progress in the clinical detection of heterogeneity in breast cancer.

Authors:  Jun-Long Song; Chuang Chen; Jing-Ping Yuan; Sheng-Rong Sun
Journal:  Cancer Med       Date:  2016-10-24       Impact factor: 4.452

6.  Evidence on the cost of breast cancer drugs is required for rational decision making.

Authors:  Anne Margreet Sofie Berghuis; Hendrik Koffijberg; Leonardus Wendelinus Mathias Marie Terstappen; Stefan Sleijfer; Maarten Joost IJzerman
Journal:  Ecancermedicalscience       Date:  2018-04-16

Review 7.  Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers.

Authors:  Wenyong Tan; Ming Yang; Hongli Yang; Fangbin Zhou; Weixi Shen
Journal:  Cancer Manag Res       Date:  2018-10-09       Impact factor: 3.989

8.  Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer.

Authors:  Edgar Manzanarez-Ozuna; Dora-Luz Flores; Everardo Gutiérrez-López; David Cervantes; Patricia Juárez
Journal:  Theor Biol Med Model       Date:  2018-12-29       Impact factor: 2.432

  8 in total

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