ArticleOncology reports2021
Sensitizing TRAIL‑resistant A549 lung cancer cells and enhancing TRAIL‑induced apoptosis with the antidepressant amitriptyline.
Article in Oncology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- In Vitro Investigation of the Toxicity Mechanisms of Antidepressant Drugs on Adipose Tissue in 3T3-L1 Cells.Journal of applied toxicology : JAT · 2026Article
- Mechanistic Insights and Clinical Implications of ELK1 in Solid Tumors: A Narrative Review.Cells · 2025Review
- The role of tumor necrosis factor receptor superfamily in cancer: insights into oncogenesis, progression, and therapeutic strategies.NPJ precision oncology · 2025Review
- The Use of Selective Serotonin Reuptake Inhibitor (SSRI) Antidepressants in the Treatment of Lung Cancer.International journal of molecular sciences · 2025Review
- Repurposing of nervous system drugs for cancer treatment: recent advances, challenges, and future perspectives.Discover oncology · 2025Review
- The Antidepressant Drug Amitriptyline Affects Human SH-SY5Y Neuroblastoma Cell Proliferation and Modulates Autophagy.International journal of molecular sciences · 2024Article
- TRAIL predisposes non-small cell lung cancer to ferroptosis by regulating ASK-1/JNK1 pathway.Discover oncology · 2024Article
- Cinobufagin disrupts the stability of lipid rafts by inhibiting the expression of caveolin-1 to promote non-small cell lung cancer cell apoptosis.Archives of medical science : AMS · 2024Article
- Antidepressants as Autophagy Modulators for Cancer Therapy.Molecules (Basel, Switzerland) · 2023Review
- Review
- An Antidepressant Drug Increased TRAIL Receptor-2 Expression and Sensitized Lung Cancer Cells to TRAIL-induced Apoptosis.Anti-cancer agents in medicinal chemistry · 2023Article
- Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor necrosis factor‑related apoptosis‑inducing ligand (TRAIL) is a cytokine with the potential to induce cancer cell‑specific apoptosis with minimal toxicity to normal cells. Therefore, the resistance of certain cancer cells to TRAIL is a major concern and agents that can either enhance TRAIL capabilities or overcome TRAIL resistance are necessary for the development of cancer treatments. The present study investigated whether the antidepressant drug amitriptyline could sensitize TRAIL‑resistant A549 lung cancer cells and enhance TRAIL‑induced apoptosis. Antidepressants are usually prescribed to cancer patients to relieve emotional distress, such as depression or dysthymia. The present study revealed for the first time, to the best of our knowledge, that amitriptyline increased death receptor (DR) 4 and 5 expression, a requirement for TRAIL‑induced cell death. Genetic inhibitors of DR4 and DR5 significantly reduced amitriptyline‑enhanced TRAIL‑mediated apoptosis. Additionally, the present study explored whether blocking autophagy increased DR4 and DR5 expression. Blocking autophagy flux with the final stage autophagy inhibitor chloroquine (CQ) also upregulated DR4 and DR5 expression. TRAIL in combination with amitriptyline or CQ significantly increased the expression of apoptosis‑indicator proteins cleaved caspase‑8 and caspase‑3. The expression levels of LC3‑II and p62 were significantly higher in amitriptyline‑treated cells, which confirmed that amitriptyline blocks autophagy by inhibiting the fusion of autophagosomes with lysosomes. Overall, the present results contributed to understanding the mechanism responsible for the synergistic anticancer effect of amitriptyline and TRAIL and also presented a novel mechanism involved in DR4 and DR5 upregulation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.