Literature DB >> 21841744

Telomerase targeted therapy in cancer and cancer stem cells.

Yucheng Xu1, Kaijie He, Amir Goldkorn.   

Abstract

Telomerase plays a key role in cell fate: loss of telomerase in normal differentiated cells heralds senescence and limits cell division, whereas reactivation of telomerase sustains proliferation and potentiates mutagenesis and transformation. Given this pivotal role, telomerase has been the subject of intense investigation in the field of developmental cancer therapeutics. To date, a broad spectrum of therapeutic strategies has been developed, ranging from direct targeting or reprogramming of the enzyme, to immune or virus-mediated targeting of cells expressing telomerase, to strategies focusing on the telomeres themselves. The recent discovery and growing interest in cancer stem cells has thrust telomerase therapy into new relief as an approach that may be uniquely suited to neutralizing this treatment-resistant subpopulation of cancer cells. Here we will review the mechanistic rationale and preclinical and clinical state of development of the various telomerase-based therapeutic approaches, with emphasis on the role of telomerase in cancer stem cell biology and its implications for therapeutic efforts.

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Year:  2011        PMID: 21841744

Source DB:  PubMed          Journal:  Clin Adv Hematol Oncol        ISSN: 1543-0790


  11 in total

Review 1.  Targeting cancer stem cells with oncolytic virus.

Authors:  Yin Tong; Wenbin Qian
Journal:  Stem Cell Investig       Date:  2014-11-28

2.  Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas.

Authors:  So Yeon Won; Jun Ho Lee; Narae Lee; Yae Won Park; Sung Soo Ahn; Jinna Kim; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

3.  A structure-activity relationship study on multi-heterocyclic molecules: two linked thiazoles are required for cytotoxic activity.

Authors:  Seong Jong Kim; Chun Chieh Lin; Chung-Mao Pan; Dimple P Rananaware; Deborah M Ramsey; Shelli R McAlpine
Journal:  Medchemcomm       Date:  2012-11-29       Impact factor: 3.597

4.  hTERT Protein Expression in Cytoplasm and Nucleus and its Association With HPV Infection in Patients With Cervical Cancer.

Authors:  Pablo Moreno-Acosta; MÓnica Molano; Nicolas Morales; Jinneth Acosta; Cristian GonzÁlez-Prieto; Diana Mayorga; Lina Buitrago; Oscar Gamboa; Juan Carlos MejÍa; July Castro; Alfredo Romero-Rojas; Sophie Espenel; Gerald L Murray; Suzanne M Garland; Alexis Vallard; Nicolas MagnÉ
Journal:  Cancer Genomics Proteomics       Date:  2020 Sep-Oct       Impact factor: 4.069

Review 5.  Targeting pediatric cancer stem cells with oncolytic virotherapy.

Authors:  Gregory K Friedman; Kevin A Cassady; Elizabeth A Beierle; James M Markert; G Yancey Gillespie
Journal:  Pediatr Res       Date:  2012-02-15       Impact factor: 3.756

Review 6.  In vitro models of cancer stem cells and clinical applications.

Authors:  Sara S Franco; Karolina Szczesna; Maria S Iliou; Mohammed Al-Qahtani; Ali Mobasheri; Julianna Kobolák; András Dinnyés
Journal:  BMC Cancer       Date:  2016-09-30       Impact factor: 4.430

Review 7.  Telomere and Telomerase Therapeutics in Cancer.

Authors:  Yucheng Xu; Amir Goldkorn
Journal:  Genes (Basel)       Date:  2016-05-26       Impact factor: 4.096

8.  Spheroid-Derived Cells From Renal Adenocarcinoma Have Low Telomerase Activity and High Stem-Like and Invasive Characteristics.

Authors:  Leili Saeednejad Zanjani; Zahra Madjd; Arezoo Rasti; Mojgan Asgari; Maryam Abolhasani; Kevin J Tam; Raheleh Roudi; Gunhild Mari Mælandsmo; Øystein Fodstad; Yvonne Andersson
Journal:  Front Oncol       Date:  2019-12-04       Impact factor: 6.244

9.  Telomere dynamics and homeostasis in a transmissible cancer.

Authors:  Beata Ujvari; Anne-Maree Pearse; Robyn Taylor; Stephen Pyecroft; Cassandra Flanagan; Sara Gombert; Anthony T Papenfuss; Thomas Madsen; Katherine Belov
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

10.  Network-based SNP meta-analysis identifies joint and disjoint genetic features across common human diseases.

Authors:  Matthias Arnold; Mara L Hartsperger; Hansjörg Baurecht; Elke Rodríguez; Benedikt Wachinger; Andre Franke; Michael Kabesch; Juliane Winkelmann; Arne Pfeufer; Marcel Romanos; Thomas Illig; Hans-Werner Mewes; Volker Stümpflen; Stephan Weidinger
Journal:  BMC Genomics       Date:  2012-09-18       Impact factor: 3.969

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