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Circulating Cancer Stem Cell Markers in Breast Carcinomas: A Systematic Review Protocol Publisher Pubmed



Mansoori M1 ; Madjd Z2 ; Janani L3 ; Rasti A4
Authors
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Authors Affiliations
  1. 1. Iran University of Medical Sciences (IUMS), Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Tehran, Iran
  2. 2. Iran University of Medical Sciences, Department of Molecular Medicine, Oncopathology Research Center, Faculty of Advanced Technologies in Medicine, Tehran, Iran
  3. 3. Iran University of Medical Sciences (IUMS), Department of Biostatistics, School of Public health, Tehran, Iran
  4. 4. Iran University of medical Sciences (IUMS), Oncopathology Research Centre, Tehran, Iran

Source: Systematic Reviews Published:2017


Abstract

Background: Breast cancer is one ofthe most common types of cancer in women worldwide. Recent studies have provided strong support for the cancer stem cell (CSC) hypothesis, which suggests that many cancers, including breast cancer, are driven by a subpopulation of cells that display stem cell-like properties. The hypothesis that a subpopulation of circulating tumor cells (CTCs) possesses many CSC-like hallmarks is reinforced by the expression of related molecular markers between these two cell populations. The aim of this study is to systematically review primary studies and identify circulating CSC markers in breast cancer patients. Methods and design: Relevant observational studies evaluating the expression of circulating breast cancer stem cell markers through October 31, 2016, will be searched in PubMed, SCOPUS, Embase, ISI Web of Science, and Google Scholar with no restriction on language. Full copies of articles identified by the search and considered to meet the inclusion criteria will be obtained for data extraction and synthesis. Two quality assessment tools will be used for evaluating observational studies like case control, which are the Hoy et al. suggested tool and Newcastle-Ottawa Scale (NOS), respectively. Publication bias will be assessed by funnel plots or Egger's test (i.e., plots of study results against precision), and data synthesis will be performed using Stata software (Stata Corp V.12, TX, USA).This systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Discussion: Detecting cancer stem cells in blood will help clinicians to monitor cancer patients by obtaining as many samples as needed with a non-invasive method and in any stages; it is not possible to repeat sampling on working on tissue samples. By identifying cancer stem cells early in blood, it will be possible to distinguish metastasis in early stages. Systematic review registration:CRD42016043810 © 2017 The Author(s).
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