ReviewCancers2021
Modulation of Cancer Cell Autophagic Responses by Graphene-Based Nanomaterials: Molecular Mechanisms and Therapeutic Implications.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
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Who cites it
14 citing papers in PubMed.
- The interplay between autophagy and immunogenic cell death: nanomaterial-based strategies for cancer immunotherapy.Journal of nanobiotechnology · 2026Review
- The dual role of autophagy in cartilage degradation: from mechanisms to targeted therapeutics.Frontiers in cell and developmental biology · 2026Review
- Graphene Nanocomposites in the Targeting Tumor Microenvironment: Recent Advances in TME Reprogramming.International journal of molecular sciences · 2025Review
- Preclinical advance in nanoliposome-mediated photothermal therapy in liver cancer.Lipids in health and disease · 2025Review
- Nanofibers in Glioma Therapy: Advances, Applications, and Overcoming Challenges.International journal of nanomedicine · 2025Review
- Preliminary Study to Investigate Possible Cyto-Genotoxic and Oxidative Effects of Few-Layer Graphene in Human Bronchial Cells.International journal of molecular sciences · 2024Article
- Adhesion States Greatly Affect Cellular Susceptibility to Graphene Oxide: Therapeutic Implications for Cancer Metastasis.International journal of molecular sciences · 2024Article
- Chasing Graphene-Based Anticancer Drugs: Where are We Now on the Biomedical Graphene Roadmap?International journal of nanomedicine · 2024Review
- Autophagy and Biomaterials: A Brief Overview of the Impact of Autophagy in Biomaterial Applications.Pharmaceutics · 2023Review
- The Exploitation of Lysosomes in Cancer Therapy with Graphene-Based Nanomaterials.Pharmaceutics · 2023Review
- Article
- The Reduced Graphene Oxide (rGO) Induces Apoptosis, Autophagy and Cell Cycle Arrest in Breast Cancer Cells.International journal of molecular sciences · 2022Article
- Characteristics of Graphene Oxide for Gene Transfection and Controlled Release in Breast Cancer Cells.International journal of molecular sciences · 2022Review
- The Preliminary Study on the Proapoptotic Effect of Reduced Graphene Oxide in Breast Cancer Cell Lines.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Graphene-based nanomaterials (GNM) are plausible candidates for cancer therapeutics and drug delivery systems. Pure graphene and graphene oxide nanoparticles, as well as graphene quantum dots and graphene nanofibers, were all able to trigger autophagy in cancer cells through both transcriptional and post-transcriptional mechanisms involving oxidative/endoplasmic reticulum stress, AMP-activated protein kinase, mechanistic target of rapamycin, mitogen-activated protein kinase, and Toll-like receptor signaling. This was often coupled with lysosomal dysfunction and subsequent blockade of autophagic flux, which additionally increased the accumulation of autophagy mediators that participated in apoptotic, necrotic, or necroptotic death of cancer cells and influenced the immune response against the tumor. In this review, we analyze molecular mechanisms and structure-activity relationships of GNM-mediated autophagy modulation, its consequences for cancer cell survival/death and anti-tumor immune response, and the possible implications for the use of GNM in cancer therapy.
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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.