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©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Stem Cells. Nov 26, 2018; 10(11): 160-171
Published online Nov 26, 2018. doi: 10.4252/wjsc.v10.i11.160
Published online Nov 26, 2018. doi: 10.4252/wjsc.v10.i11.160
Single-cell analysis of tumors: Creating new value for molecular biomarker discovery of cancer stem cells and tumor-infiltrating immune cells
Ramin Radpour, Tumor Immunology, Department for BioMedical Research (DBMR), University of Bern, Bern 3008, Switzerland
Ramin Radpour, Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3008, Switzerland
Farzad Forouharkhou, Department for Bioinformatics, Persian Bioinformatics System, Tehran 14166, Iran
Author contributions: Radpour R and Forouharkhou F wrote the paper.
Conflict-of-interest statement: There is no conflict of interest.
Open-Access: This is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Ramin Radpour, MSc, PhD, Senior Researcher, Tumor Immunology, Department for BioMedical Research (DBMR), University of Bern, Murtenstrasse 35, Bern 3008, Switzerland. ramin.radpour@dbmr.unibe.ch
Telephone: +41-31-6320956 Fax: +41-31-6323297
Received: August 30, 2018
Peer-review started: August 30, 2018
First decision: October 16, 2018
Revised: October 18, 2018
Accepted: October 23, 2018
Article in press: October 23, 2018
Published online: November 26, 2018
Processing time: 88 Days and 17.6 Hours
Peer-review started: August 30, 2018
First decision: October 16, 2018
Revised: October 18, 2018
Accepted: October 23, 2018
Article in press: October 23, 2018
Published online: November 26, 2018
Processing time: 88 Days and 17.6 Hours
Core Tip
Core tip: Extensive heterogeneity in cancer cells negatively influences treatment efficacy and survival of patients. The existing molecular methods for biomarker discovery of cancer cells and cancer stem cells are often unsuited to capture the heterogeneous nature of cell populations. Recent advances in single-cell based profiling approaches allowed the detection of molecular changes in individual cancer cells. Therefore, single-cell analysis is leading to build a complete landscape of cell types within tumor cells and facilitating the study of complex molecular heterogeneity in cancer cell populations. This will improve the investigation of more specific biomarkers to identify and target cancer stem cells.