ArticleToxicological sciences : an official journal of the Society of Toxicology2015
Carbon nanotubes induce apoptosis resistance of human lung epithelial cells through FLICE-inhibitory protein.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03300167 (Study of the Vascular Response to Percutaneous Coronary Intervention in Patients With Non-ST-elevation Acute Coronary Syndromes Using Intravascular Blood Sampling), which is not on this map. Cited by 10 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Study of the Vascular Response to Percutaneous Coronary Intervention in Patients With Non-ST-elevation Acute Coronary Syndromes Using Intravascular Blood Sampling
Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Exploring the Dynamic Interplay of Carbon Nanotubes with ApoptosisIranian journal of biotechnology · 2026Article
- Identification of Candidate lncRNA and Pseudogene Biomarkers Associated with Carbon-Nanotube-Induced Malignant Transformation of Lung Cells and Prediction of Potential Preventive Drugs.International journal of environmental research and public health · 2022Article
- The Applications of Carbon Nanotubes in the Diagnosis and Treatment of Lung Cancer: A Critical Review.International journal of nanomedicine · 2020Review
- Acquisition of Cancer Stem Cell-like Properties in Human Small Airway Epithelial Cells after a Long-term Exposure to Carbon Nanomaterials.Environmental science. Nano · 2019Article
- Review
- Induction of Slug by Chronic Exposure to Single-Walled Carbon Nanotubes Promotes Tumor Formation and Metastasis.Chemical research in toxicology · 2017Article
- Evaluation of tumorigenic potential of CeONanoImpact · 2017Article
- Cytotoxicity induced by carbon nanotubes in experimental malignant glioma.International journal of nanomedicine · 2017Article
- Role of mesothelin in carbon nanotube-induced carcinogenic transformation of human bronchial epithelial cells.American journal of physiology. Lung cellular and molecular physiology · 2016Article
- Carcinogenic Potential of High Aspect Ratio Carbon Nanomaterials.Environmental science. Nano · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Chronic exposure to single-walled carbon nanotubes (SWCNT) has been reported to induce apoptosis resistance of human lung epithelial cells. As resistance to apoptosis is a foundation of neoplastic transformation and cancer development, we evaluated the apoptosis resistance characteristic of the exposed lung cells to understand the pathogenesis mechanism. Passage control and SWCNT-transformed human lung epithelial cells were treated with known inducers of apoptosis via the intrinsic (antimycin A and CDDP) or extrinsic (FasL and TNF-α) pathway and analyzed for apoptosis by DNA fragmentation, annexin-V expression, and caspase activation assays. Whole-genome microarray was performed to aid the analysis of apoptotic gene signaling network. The SWCNT-transformed cells exhibited defective death receptor pathway in association with cellular FLICE-inhibitory protein (c-FLIP) overexpression. Knockdown or chemical inhibition of c-FLIP abrogated the apoptosis resistance of SWCNT-transformed cells. Whole-genome expression signature analysis confirmed these findings. This study is the first to demonstrate carbon nanotube-induced defective death receptor pathway and the role of c-FLIP in the process.
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Registered trials
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.