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Survival of Patients with Gastrointestinal Cancers Can Be Predicted by a Surrogate microRNA Signature for Cancer Stem-like Cells Marked by DCLK1 Kinase.

Authors :
Weygant N
Ge Y
Qu D
Kaddis JS
Berry WL
May R
Chandrakesan P
Bannerman-Menson E
Vega KJ
Tomasek JJ
Bronze MS
An G
Houchen CW
Source :
Cancer research [Cancer Res] 2016 Jul 15; Vol. 76 (14), pp. 4090-9. Date of Electronic Publication: 2016 Jun 10.
Publication Year :
2016

Abstract

Doublecortin-like kinase 1 (DCLK1) is a gastrointestinal (GI) tuft cell kinase that has been investigated as a biomarker of cancer stem-like cells in colon and pancreatic cancers. However, its utility as a biomarker may be limited in principle by signal instability and dilution in heterogeneous tumors, where the proliferation of diverse tumor cell lineages obscures the direct measurement of DCLK1 activity. To address this issue, we explored the definition of a miRNA signature as a surrogate biomarker for DCLK1 in cancer stem-like cells. Utilizing RNA/miRNA-sequencing datasets from the Cancer Genome Atlas, we identified a surrogate 15-miRNA expression signature for DCLK1 activity across several GI cancers, including colon, pancreatic, and stomach cancers. Notably, Cox regression and Kaplan-Meier analysis demonstrated that this signature could predict the survival of patients with these cancers. Moreover, we identified patient subgroups that predicted the clinical utility of this DCLK1 surrogate biomarker. Our findings greatly strengthen the clinical significance for DCLK1 expression across GI cancers. Further, they provide an initial guidepost toward the development of improved prognostic biomarkers or companion biomarkers for DCLK1-targeted therapies to eradicate cancer stem-like cells in these malignancies. Cancer Res; 76(14); 4090-9. ©2016 AACR.<br />Competing Interests: Courtney Houchen and Edwin Bannerman-Menson are co-founders of COARE Biotechnology Inc.<br /> (©2016 American Association for Cancer Research.)

Details

Language :
English
ISSN :
1538-7445
Volume :
76
Issue :
14
Database :
MEDLINE
Journal :
Cancer research
Publication Type :
Academic Journal
Accession number :
27287716
Full Text :
https://doi.org/10.1158/0008-5472.CAN-16-0029