Literature DB >> 22003917

Biomarkers for breast cancer stem cells: the challenges ahead.

Yesim Gökmen-Polar1, Harikrishna Nakshatri, Sunil Badve.   

Abstract

Recent studies suggest that a subset of cancer cells with the ability for self-renewal and differentiation into different cell lineages is responsible for tumor progression, metastasis and resistance therapy. These cells, designated as tumor-initiating cells, tumor-propagating cells or cancer stem cells, are of great interest for cancer prognostication and therapeutics. Numerous cell surface and intracellular markers exhibiting cancer stem cell characteristics have been identified in breast cancer, presenting a promise to use them as biomarkers. However, there is a great need for the improvement of experimental methods to detect them in clinical samples, and validate their utility as predictors of the disease outcome, propensity for metastasis and response to treatment. In this article, we present an overview of the current status of breast cancer stem cells, with a focus on biomarkers. We also discuss the technical challenges on the road to defining breast cancer stem cells as biomarkers.

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Year:  2011        PMID: 22003917     DOI: 10.2217/bmm.11.57

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  4 in total

Review 1.  Cancer stem cells: a systems biology view of their role in prognosis and therapy.

Authors:  Susan D Mertins
Journal:  Anticancer Drugs       Date:  2014-04       Impact factor: 2.248

2.  Metabolomic Studies of Live Single Cancer Stem Cells Using Mass Spectrometry.

Authors:  Mei Sun; Zhibo Yang
Journal:  Anal Chem       Date:  2019-01-08       Impact factor: 6.986

Review 3.  Proteomics and its applications in breast cancer.

Authors:  Anca-Narcisa Neagu; Danielle Whitham; Emma Buonanno; Avalon Jenkins; Teodora Alexa-Stratulat; Bogdan Ionel Tamba; Costel C Darie
Journal:  Am J Cancer Res       Date:  2021-09-15       Impact factor: 5.942

4.  Ligand binding to anti-cancer target CD44 investigated by molecular simulations.

Authors:  Tin Trung Nguyen; Duy Phuoc Tran; Zung Hoang; Paolo Carloni; Phuc Van Pham; Chuong Nguyen; Mai Suan Li
Journal:  J Mol Model       Date:  2016-06-24       Impact factor: 1.810

  4 in total

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