Pharmacological Ascorbate Elicits Anti-Cancer Activities against Non-Small Cell Lung Cancer through Hydrogen-Peroxide-Induced-DNA-Damage.
Kittipong SanookpanNaphat ChantaravisootNuttiya KalpongnukulChatchapon ChuenjitOnsurang WattanathamsanSara ShoaibPithi ChanvorachoteVisarut BuranasudjaPublished in: Antioxidants (Basel, Switzerland) (2023)
Non-small cell lung cancer (NSCLC) poses a significant global health burden with unsatisfactory survival rates, despite advancements in diagnostic and therapeutic modalities. Novel therapeutic approaches are urgently required to improve patient outcomes. Pharmacological ascorbate (P-AscH - ; ascorbate at millimolar concentration in plasma) emerged as a potential candidate for cancer therapy for recent decades. In this present study, we explore the anti-cancer effects of P-AscH - on NSCLC and elucidate its underlying mechanisms. P-AscH - treatment induces formation of cellular oxidative distress; disrupts cellular bioenergetics; and leads to induction of apoptotic cell death and ultimately reduction in clonogenic survival. Remarkably, DNA and DNA damage response machineries are identified as vulnerable targets for P-AscH - in NSCLC therapy. Treatments with P-AscH - increase the formation of DNA damage and replication stress markers while inducing mislocalization of DNA repair machineries. The cytotoxic and genotoxic effects of P-AscH - on NSCLC were reversed by co-treatment with catalase, highlighting the roles of extracellular hydrogen peroxide in anti-cancer activities of P-AscH - . The data from this current research advance our understanding of P-AscH - in cancer treatment and support its potential clinical use as a therapeutic option for NSCLC therapy.
Keyphrases
- hydrogen peroxide
- dna damage
- dna repair
- small cell lung cancer
- dna damage response
- cell death
- advanced non small cell lung cancer
- nitric oxide
- global health
- oxidative stress
- brain metastases
- stem cells
- mesenchymal stem cells
- machine learning
- cell cycle arrest
- free survival
- risk assessment
- replacement therapy
- cell proliferation
- deep learning
- anti inflammatory
- cell therapy
- bone marrow
- tyrosine kinase
- artificial intelligence
- stress induced
- nucleic acid