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Updated: Feb 9, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
Published on: October 10, 2025
Targeting ATR in cancer.
Emilio Lecona1, Oscar Fernandez-Capetillo2,3
1Genomic Instability Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Targeting the ataxia telangiectasia and Rad3-related protein (ATR) kinase offers a promising cancer therapy strategy by exploiting replication stress. Research explores ATR inhibitors and patient biomarkers for improved treatment selection.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Early cancer chemotherapy utilized DNA damaging agents like mustard gas, leading to genotoxic drug development.
- The efficacy of genotoxic therapies is often limited by severe side effects on healthy cells.
- Exploiting cancer-specific DNA damage presents a refined therapeutic approach.
Purpose of the Study:
- To review the biological rationale for targeting the ataxia telangiectasia and Rad3-related protein (ATR) kinase in cancer therapy.
- To discuss the potential of ATR inhibitors as a promising alternative cancer treatment.
- To explore predictive biomarkers for patient selection in ATR inhibitor therapy.
Main Methods:
- Literature review of DNA damaging agents and cancer treatment strategies.
- Analysis of the role of replication stress (RS) in cancer genomic instability.
- Discussion of the biological mechanisms and clinical relevance of ATR inhibitors.
Main Results:
- Replication stress (RS) is a significant driver of genomic instability in cancer.
- Targeting the ATR kinase, a key regulator of the RS response, is a promising therapeutic strategy.
- ATR inhibitors are advancing into clinical trials, indicating therapeutic potential.
Conclusions:
- Targeting ATR represents a refined approach to cancer therapy, focusing on cancer cell-specific vulnerabilities.
- Further research into biomarkers is crucial for optimizing patient selection and treatment efficacy for ATR inhibitors.
- ATR inhibition holds promise for improving cancer treatment outcomes by exploiting replication stress pathways.
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