Literature DB >> 23341234

Breast cancer biomarker measurements and standards.

Kenneth D Cole1, Hua-Jun He, Lili Wang.   

Abstract

Cancer is a heterogeneous disease characterized by changes in the levels and activities of important cellular proteins, including oncogenes and tumor suppressors. Genetic mutations cause changes in protein activity and protein expression levels that result in the altered metabolism, proliferation, and metastasis seen in cancer cells. The identification of the critical biochemical changes in cancer has led to advances in its detection and treatment. An important example of this is the measurement of human epidermal growth factor receptor 2 (HER2), where increased expression occurs in approximately 20-30% of breast cancer tumors. HER2 is a member of the epidermal growth factor receptor family and is an important biomarker expressed on the cell surface. Measurement of the HER2 levels in tumor cells provides diagnostic, prognostic, and treatment information, because a targeted therapeutic is available. The most common methods to measure HER2 levels are immunohistochemistry and in situ hybridization assays. The accurate and reliable measurements of the specific changes in protein biomarkers for detection and treatment of cancer are important challenges. This review is focused on efforts to improve the quantitation and reliability of cancer biomarkers by using standards and reference materials.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23341234     DOI: 10.1002/prca.201200075

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  8 in total

1.  Comparative Proteome Analysis of Breast Cancer Tissues Highlights the Importance of Glycerol-3-phosphate Dehydrogenase 1 and Monoacylglycerol Lipase in Breast Cancer Metabolism.

Authors:  Kubra Karaosmanoglu Yoneten; Murat Kasap; Gurler Akpinar; Abdullah Gunes; Bora Gurel; Nihat Zafer Utkan
Journal:  Cancer Genomics Proteomics       Date:  2019 Sep-Oct       Impact factor: 4.069

2.  Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis.

Authors:  Geetharamani R; Sivagami G
Journal:  Med Biol Eng Comput       Date:  2021-07-31       Impact factor: 2.602

3.  Functionalized vertical GaN micro pillar arrays with high signal-to-background ratio for detection and analysis of proteins secreted from breast tumor cells.

Authors:  Mun-Ki Choi; Gil-Sung Kim; Jin-Tak Jeong; Jung-Taek Lim; Won-Yong Lee; Ahmad Umar; Sang-Kwon Lee
Journal:  Sci Rep       Date:  2017-11-02       Impact factor: 4.379

4.  Using Resistin, glucose, age and BMI to predict the presence of breast cancer.

Authors:  Miguel Patrício; José Pereira; Joana Crisóstomo; Paulo Matafome; Manuel Gomes; Raquel Seiça; Francisco Caramelo
Journal:  BMC Cancer       Date:  2018-01-04       Impact factor: 4.430

5.  Apoptosis-linked gene 2 promotes breast cancer growth and metastasis by regulating the cytoskeleton.

Authors:  Juan Qin; Dengwen Li; Yunqiang Zhou; Songbo Xie; Xin Du; Ziwei Hao; Ruming Liu; Xinqi Liu; Min Liu; Jun Zhou
Journal:  Oncotarget       Date:  2017-01-10

6.  The Key Characteristics of Carcinogens: Relationship to the Hallmarks of Cancer, Relevant Biomarkers, and Assays to Measure Them.

Authors:  Martyn T Smith; Kathryn Z Guyton; Nicole Kleinstreuer; Alexandre Borrel; Andres Cardenas; Weihsueh A Chiu; Dean W Felsher; Catherine F Gibbons; William H Goodson; Keith A Houck; Agnes B Kane; Michele A La Merrill; Herve Lebrec; Leroy Lowe; Cliona M McHale; Sheroy Minocherhomji; Linda Rieswijk; Martha S Sandy; Hideko Sone; Amy Wang; Luoping Zhang; Lauren Zeise; Mark Fielden
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-03-09       Impact factor: 4.254

7.  Gene expression correlation for cancer diagnosis: a pilot study.

Authors:  Binbing Ling; Lifeng Chen; Qiang Liu; Jian Yang
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

8.  Development of NIST standard reference material 2373: Genomic DNA standards for HER2 measurements.

Authors:  Hua-Jun He; Jamie L Almeida; Steve P Lund; Carolyn R Steffen; Steve Choquette; Kenneth D Cole
Journal:  Biomol Detect Quantif       Date:  2016-03-09
  8 in total

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