Abstract

Active telomerase is essential for stem cells and most cancers to maintain telomeres. The enzymatic activity of telomerase is related but not equivalent to the expression of TERT, the catalytic subunit of the complex. Here we show that telomerase enzymatic activity can be robustly estimated from the expression of a 13-gene signature. We demonstrate the validity of the expression-based approach, named EXTEND, using cell lines, cancer samples, and non-neoplastic samples. When applied to over 9,000 tumors and single cells, we find a strong correlation between telomerase activity and cancer stemness. This correlation is largely driven by a small population of proliferating cancer cells that exhibits both high telomerase activity and cancer stemness. This study establishes a computational framework for quantifying telomerase enzymatic activity and provides new insights into the relationships among telomerase, cancer proliferation, and stemness.

Telomerase activity correlates with distinct cell states, but can be challenging to quantify. Here the authors quantify telomerase activity across a range of biological samples using the expression of 13 genes, and show it correlates with cancer cell proliferation and stemness.

Details

Title
Integrated analysis of telomerase enzymatic activity unravels an association with cancer stemness and proliferation
Author
Noureen Nighat 1 ; Wu, Shaofang 2 ; Lv Yingli 3 ; Yang Juechen 3 ; Alfred Yung W K 2 ; Gelfond, Jonathan 4 ; Wang, Xiaojing 5 ; Koul Dimpy 2 ; Ludlow, Andrew 6   VIAFID ORCID Logo  ; Zheng Siyuan 7   VIAFID ORCID Logo 

 UT Health San Antonio, Greehey Children’s Cancer Research Institute, San Antonio, USA; UT Health San Antonio, Department of Population Health Sciences, San Antonio, USA 
 MD Anderson Cancer Center, Department of Neuro-Oncology, Houston, USA (GRID:grid.240145.6) (ISNI:0000 0001 2291 4776) 
 UT Health San Antonio, Greehey Children’s Cancer Research Institute, San Antonio, USA (GRID:grid.240145.6) 
 UT Health San Antonio, Department of Population Health Sciences, San Antonio, USA (GRID:grid.240145.6) 
 UT Health San Antonio, Greehey Children’s Cancer Research Institute, San Antonio, USA (GRID:grid.240145.6); UT Health San Antonio, Department of Population Health Sciences, San Antonio, USA (GRID:grid.240145.6) 
 University of Michigan, Department of Movement Science, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
 UT Health San Antonio, Greehey Children’s Cancer Research Institute, San Antonio, USA (GRID:grid.214458.e); UT Health San Antonio, Department of Population Health Sciences, San Antonio, USA (GRID:grid.214458.e) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2476252833
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.