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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
Comprehensive transcriptomic analysis in wild-type and ATM knockout lung cancer cells: Influence of cisplatin on
Ayşegül Varol1, Sabine M Klauck2, Susan P Lees-Miller3
1Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University-Mainz, 55128, Mainz, Germany.
Abstract:
Genetic mutations and impaired DNA repair mechanisms in cancer not only facilitate tumor progression but also reduce the effectiveness of chemotherapeutic agents, particularly cisplatin. Combination therapy has emerged as a promising strategy to overcome resistance. Comprehensive transcriptomic analyses, supported by integrated comparative bioinformatics and experimental approaches, are essential for identifying biomarkers and novel therapeutic targets underlying drug resistance. In this study, we performed overall survival and mutation analyses, examining 23 double-strand break repair proteins across more than 7500 tumors spanning 23 distinct cancer types. Our findings identify ATM (ataxia-telangiectasia mutated) as a key protein with the highest mutation frequency. Using CRISPR/Cas9, we investigated the effects of ATM mutations on signalling pathways that influence the cellular response to cisplatin. ATM knockout enhanced cisplatin cytotoxicity by activating alternative cell death pathways, including oxidative stress-induced senescence and necroptosis. Microarray analysis revealed a regulatory interplay between ATM and NRF2 in the activation of oxidative stress-induced senescence. Specifically, ATM knockout promoted senescence by increasing reactive oxygen species (ROS) accumulation and downregulating NRF2 expression. To enhance combination therapy, integrating genetic profiling with advanced tools such as CRISPR/Cas9 to target oxidative stress-induced senescence may provide innovative strategies to overcome drug resistance, thereby advancing personalized cancer treatment. These approaches lay the foundation for the development of personalized cancer therapies tailored to the unique mutational landscape of individual patients, offering promising prospects for improving treatment outcomes.
Insights
Genetic mutations in ATM impair cancer drug effectiveness. Targeting ATM with CRISPR/Cas9 enhances cisplatin therapy by activating cell death pathways, offering new avenues for personalized cancer treatment.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Genetic mutations and impaired DNA repair mechanisms in cancer contribute to tumor progression and chemoresistance.
- Cisplatin efficacy is often limited by these genetic alterations.
- Combination therapy presents a promising strategy to overcome drug resistance.
Purpose of the Study:
- To investigate the role of DNA double-strand break repair proteins in cancer drug resistance.
- To identify key proteins and pathways involved in cisplatin resistance.
- To explore novel therapeutic strategies for overcoming chemoresistance.
Main Methods:
- Analysis of overall survival and mutation data across over 7,500 tumors from 23 cancer types.
- Examination of 23 double-strand break repair proteins, focusing on ATM (ataxia-telangiectasia mutated).
- CRISPR/Cas9 gene editing to study ATM mutations and their effects on cisplatin response, including microarray analysis.
Main Results:
- ATM mutations were found to be the most frequent among the studied DNA repair proteins.
- ATM knockout enhanced cisplatin cytotoxicity by inducing oxidative stress-induced senescence and necroptosis.
- ATM knockout promoted senescence via increased reactive oxygen species (ROS) and decreased NRF2 expression, revealing a regulatory interplay.
Conclusions:
- ATM is a critical factor in cancer's response to cisplatin.
- Targeting ATM and oxidative stress-induced senescence, potentially through CRISPR/Cas9, offers a novel strategy to enhance combination therapy.
- Integrating genetic profiling with advanced tools can lead to personalized cancer treatments tailored to individual mutational landscapes.
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