ReviewMolecular biomedicine2026
Role of autophagy in tumorigenesis and drug resistance: molecular mechanisms and therapeutic targets.
Review in Molecular biomedicine, 2026. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- Autophagy Modulation in Cancer Therapy: Navigating the Dual Roles to Overcome Chemoresistance.Health science reports · 2026Article
- Autophagy-Circulating Tumor DNA Axis in Molecular Cancer Research: Emerging Mechanisms, Therapeutic Targeting, and Translational Opportunities.International journal of molecular sciences · 2026Review
- Mitochondrial dysfunction and the regulatory cell death crosstalk network in chronic obstructive pulmonary disease: from oxidative stress mechanisms to targeted therapeutic strategies.Frontiers in immunology · 2026Review
- Mitophagy in idiopathic pulmonary fibrosis: from molecular mechanisms to therapeutic opportunities.Frontiers in cell and developmental biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Autophagy represents a conserved lysosome-dependent catabolic mechanism that safeguards cellular energetic homeostasis and supports adaptive metabolic remodeling under diverse stress conditions. In cancer, autophagy displays a highly context-dependent "double-edged sword" behavior. During the early stages of tumorigenesis, autophagy can suppress malignant transformation by preserving genomic stability, restraining chronic inflammation, and limiting the acquisition of malignant stemness, thereby helping preserve cellular integrity in early tumorigenesis. However, as tumors progress, autophagy can be reprogrammed into an adaptive survival mechanism that supplies tumor growth, metastatic dissemination, and resistance to multiple therapeutic modalities in response to hypoxia, nutrient deprivation, and therapeutic stress. Within the framework of tumor evolution, this review systematically integrates the molecular mechanisms and regulatory networks underlying different forms of autophagy, including canonical, non-canonical, and selective forms. We explore how autophagy intersects with metabolic reprogramming, immune signaling, DNA damage responses, and regulated cell death, and discuss its involvement in tumor progression, microenvironment remodeling, metastasis, and therapy resistance, with relevance to interactions between tumor cells and the surrounding microenvironment. We also summarize recent developments in autophagy-targeted approaches, including chloroquine derivatives, emerging small-molecule inhibitors, and natural compounds, and consider the challenges that remain for clinical translation, especially those related to context-dependent effects and therapeutic application. Collectively, this review provides an updated understanding of autophagy in tumor evolution and informs future mechanistic and therapeutic investigations.
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What OpenQuestion holds
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.