ArticleEMBO reports2020
Iron out, mitophagy in! A way to slow down hepatocellular carcinoma.
Article in EMBO reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Selective autophagy in hepatocellular carcinoma: Mechanisms, roles and therapeutic implications (Review).Experimental and therapeutic medicine · 2025Review
- Emerging mechanistic insights of selective autophagy in hepatic diseases.Frontiers in pharmacology · 2023Review
- Aging and aging-related diseases: from molecular mechanisms to interventions and treatments.Signal transduction and targeted therapy · 2022Review
- Iron out, mitophagy in! A way to slow down hepatocellular carcinoma.EMBO reports · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mitochondrial homeostasis is necessary for the maintenance of cellular function and neuronal survival. Mitochondrial quality is tightly regulated by mitophagy, in which defective/superfluous mitochondria are degraded and recycled. Here, Hara et al demonstrate that induction of mitophagy via iron depletion suppresses the development of hepatocellular carcinoma (HCC). This work suggests turning up mitophagy as a potential therapeutic strategy against liver cancer.
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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.