Breaking Oncogene Addiction: Getting RTK/RAS-Mutated Cancers off the SOS

Author(s):  
Erin Sheffels ◽  
Robert L. Kortum
Keyword(s):  
Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 129
Author(s):  
Hae Ryung Chang ◽  
Eunyoung Jung ◽  
Soobin Cho ◽  
Young-Jun Jeon ◽  
Yonghwan Kim

While Next-Generation Sequencing (NGS) and technological advances have been useful in identifying genetic profiles of tumorigenesis, novel target proteins and various clinical biomarkers, cancer continues to be a major global health threat. DNA replication, DNA damage response (DDR) and repair, and cell cycle regulation continue to be essential systems in targeted cancer therapies. Although many genes involved in DDR are known to be tumor suppressor genes, cancer cells are often dependent and addicted to these genes, making them excellent therapeutic targets. In this review, genes implicated in DNA replication, DDR, DNA repair, cell cycle regulation are discussed with reference to peptide or small molecule inhibitors which may prove therapeutic in cancer patients. Additionally, the potential of utilizing novel synthetic lethal genes in these pathways is examined, providing possible new targets for future therapeutics. Specifically, we evaluate the potential of TONSL as a novel gene for targeted therapy. Although it is a scaffold protein with no known enzymatic activity, the strategy used for developing PCNA inhibitors can also be utilized to target TONSL. This review summarizes current knowledge on non-oncogene addiction, and the utilization of synthetic lethality for developing novel inhibitors targeting non-oncogenic addiction for cancer therapy.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sharon S. Hori ◽  
Ling Tong ◽  
Srividya Swaminathan ◽  
Mariola Liebersbach ◽  
Jingjing Wang ◽  
...  

AbstractThe targeted inactivation of individual oncogenes can elicit regression of cancers through a phenomenon called oncogene addiction. Oncogene addiction is mediated by cell-autonomous and immune-dependent mechanisms. Therapeutic resistance to oncogene inactivation leads to recurrence but can be counteracted by immune surveillance. Predicting the timing of resistance will provide valuable insights in developing effective cancer treatments. To provide a quantitative understanding of cancer response to oncogene inactivation, we developed a new 3-compartment mathematical model of oncogene-driven tumor growth, regression and recurrence, and validated the model using a MYC-driven transgenic mouse model of T-cell acute lymphoblastic leukemia. Our mathematical model uses imaging-based measurements of tumor burden to predict the relative number of drug-sensitive and drug-resistant cancer cells in MYC-dependent states. We show natural killer (NK) cell adoptive therapy can delay cancer recurrence by reducing the net-growth rate of drug-resistant cells. Our studies provide a novel way to evaluate combination therapy for personalized cancer treatment.


Cell ◽  
2007 ◽  
Vol 130 (6) ◽  
pp. 986-988 ◽  
Author(s):  
Nicole L. Solimini ◽  
Ji Luo ◽  
Stephen J. Elledge

2008 ◽  
Vol 263 (2) ◽  
pp. 157-163 ◽  
Author(s):  
Marta M. Alonso ◽  
Ramon Alemany ◽  
Juan Fueyo ◽  
Candelaria Gomez-Manzano
Keyword(s):  

2009 ◽  
Vol 390 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Tomiteru Togano ◽  
Masataka Sasaki ◽  
Mariko Watanabe ◽  
Makoto Nakashima ◽  
Takashi Tsuruo ◽  
...  

2015 ◽  
Vol 17 (1) ◽  
Author(s):  
Preeti Putcha ◽  
Jiyang Yu ◽  
Ruth Rodriguez-Barrueco ◽  
Laura Saucedo-Cuevas ◽  
Patricia Villagrasa ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document