Literature DB >> 29166151

Biomarkers and Imaging of Breast Cancer.

Olena Weaver1, Jessica W T Leung1.   

Abstract

OBJECTIVE: The goals of this review are to provide background information on the definitions and applications of the general term "biomarker" and to highlight the specific roles of breast imaging biomarkers in research and clinical breast cancer care. A search was conducted of the main electronic biomedical databases (PubMed, Cochrane, Embase, MEDLINE [Ovid], Scopus, and Web of Science). The search was focused on review literature in general radiology and biomedical sciences and on reviews and primary research articles on biomarkers in breast imaging over the 15 years ending in June 2017. The keywords included "biomarker," "trial endpoints," "breast imaging," "breast cancer," "radiomics," and "precision medicine" in the titles and abstracts of the papers.
CONCLUSION: Clinical breast care and breast cancer-related research rely on imaging biomarkers for decision support. In the era of precision medicine and big data, the practice of radiology is likely to change. A closer integration of breast imaging with related biomedical fields and the creation of large integrated and shareable databases of clinical, molecular, and imaging biomarkers should allow the field to continue guiding breast cancer care and research.

Entities:  

Keywords:  biomarkers; breast cancer; precision medicine; radiomics; trial endpoints

Mesh:

Substances:

Year:  2017        PMID: 29166151     DOI: 10.2214/AJR.17.18708

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  19 in total

1.  Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.

Authors:  Karen Drukker; Maryellen L Giger; Bonnie N Joe; Karla Kerlikowske; Heather Greenwood; Jennifer S Drukteinis; Bethany Niell; Bo Fan; Serghei Malkov; Jesus Avila; Leila Kazemi; John Shepherd
Journal:  Radiology       Date:  2018-12-11       Impact factor: 11.105

2.  Role of DCE-MR in predicting breast cancer subtypes.

Authors:  Marco Macchini; Martina Ponziani; Andrea Prochowski Iamurri; Mirco Pistelli; Mariagrazia De Lisa; Rossana Berardi; Gian Marco Giuseppetti
Journal:  Radiol Med       Date:  2018-06-05       Impact factor: 3.469

Review 3.  Nanotechnology based therapeutic application in cancer diagnosis and therapy.

Authors:  Ragini Singh
Journal:  3 Biotech       Date:  2019-10-23       Impact factor: 2.406

4.  Quantitative Multiparametric Breast Ultrasound: Application of Contrast-Enhanced Ultrasound and Elastography Leads to an Improved Differentiation of Benign and Malignant Lesions.

Authors:  Panagiotis Kapetas; Paola Clauser; Ramona Woitek; Georg J Wengert; Mathias Lazar; Katja Pinker; Thomas H Helbich; Pascal A T Baltzer
Journal:  Invest Radiol       Date:  2019-05       Impact factor: 6.016

5.  Cysteine conjugate beta-lyase 2 (CCBL2) expression as a prognostic marker of survival in breast cancer patients.

Authors:  Xiangyu Meng; Ling Wang; Miao He; Zhaoying Yang; Yan Jiao; Yubo Hu; Keren Wang
Journal:  PLoS One       Date:  2022-06-30       Impact factor: 3.752

Review 6.  Exosomes in Breast Cancer - Mechanisms of Action and Clinical Potential.

Authors:  Tiantong Liu; Jagmohan Hooda; Jennifer M Atkinson; Theresa L Whiteside; Steffi Oesterreich; Adrian V Lee
Journal:  Mol Cancer Res       Date:  2021-02-24       Impact factor: 5.852

Review 7.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

Review 8.  Diagnostics and Therapeutics in Targeting HER2 Breast Cancer: A Novel Approach.

Authors:  Chris Vi; Giovanni Mandarano; Sarah Shigdar
Journal:  Int J Mol Sci       Date:  2021-06-07       Impact factor: 5.923

Review 9.  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

Review 10.  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

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