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Residual Tumor Cells That Drive Disease Relapse after Chemotherapy Do Not Have Enhanced Tumor Initiating Capacity

Overview of attention for article published in PLOS ONE, October 2012
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Title
Residual Tumor Cells That Drive Disease Relapse after Chemotherapy Do Not Have Enhanced Tumor Initiating Capacity
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0045647
Pubmed ID
Authors

Ganapati V. Hegde, Cecile de la Cruz, Jeffrey Eastham-Anderson, Yanyan Zheng, E. Alejandro Sweet-Cordero, Erica L. Jackson

Abstract

Although chemotherapy is used to treat most advanced solid tumors, recurrent disease is still the major cause of cancer-related mortality. Cancer stem cells (CSCs) have been the focus of intense research in recent years because they provide a possible explanation for disease relapse. However, the precise role of CSCs in recurrent disease remains poorly understood and surprisingly little attention has been focused on studying the cells responsible for re-initiating tumor growth within the original host after chemotherapy treatment. We utilized both xenograft and genetically engineered mouse models of non-small cell lung cancer (NSCLC) to characterize the residual tumor cells that survive chemotherapy treatment and go on to cause tumor regrowth, which we refer to as tumor re-initiating cells (TRICs). We set out to determine whether TRICs display characteristics of CSCs, and whether assays used to define CSCs also provide an accurate readout of a cell's ability to cause tumor recurrence. We did not find consistent enrichment of CSC marker positive cells or enhanced tumor initiating potential in TRICs. However, TRICs from all models do appear to be in EMT, a state that has been linked to chemoresistance in numerous types of cancer. Thus, the standard CSC assays may not accurately reflect a cell's ability to drive disease recurrence.

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The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Denmark 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 9 24%
Student > Master 5 14%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 41%
Biochemistry, Genetics and Molecular Biology 7 19%
Medicine and Dentistry 6 16%
Chemistry 2 5%
Physics and Astronomy 1 3%
Other 2 5%
Unknown 4 11%