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Updated: May 28, 2026

Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment
Published on: May 14, 2019
Autophagy-Circulating Tumor DNA Axis in Molecular Cancer Research: Emerging Mechanisms, Therapeutic Targeting, and
Abdel Halim Harrath1, Maroua Jalouli2, Md Ataur Rahman3
1Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Abstract:
Autophagy is a self-degradative homeostatic mechanism that plays an important role in tumor viability, metabolic reprogramming, and drug resistance. Circulating tumor DNA (ctDNA) is fragmented DNA that comes from dying tumor cells and leaks out into the blood stream. ctDNA can now be measured through blood tests and is a non-invasive way to identify cancer. ctDNA has shown promise for early detection of cancer, prognosis, and monitoring treatment response in real time. There is emerging mechanistic evidence suggesting a potential relationship between autophagy and ctDNA dynamics which has been discussed as a new autophagy-ctDNA axis. Autophagy can affect ctDNA levels by promoting or suppressing apoptosis and necrosis of tumor cells. When autophagy is cytoprotective, less DNA would be shed into the bloodstream. When autophagy is inhibited or defective, more DNA would be released because of increased genomic instability. Stressors found within the tumor microenvironment (TME) like hypoxia, oxidative stress, and nutrient depletion can also induce autophagy and indirectly affect ctDNA. Targeting autophagy therapeutically with drugs that induce or inhibit autophagy such as chloroquine (CQ) or mechanistic target of rapamycin (mTOR) inhibitors can affect ctDNA concentrations. Although emerging mechanistic evidence suggests a potential relationship between autophagy and ctDNA dynamics, direct clinical studies validating this interaction remain lacking. Therefore, this review presents the autophagy-ctDNA relationship as a hypothetical and exploratory model that warrants further mechanistic and translational investigation in cancer development, therapeutic resistance, and clinical applications.
Insights
Autophagy influences circulating tumor DNA (ctDNA) shedding. This review explores the novel autophagy-ctDNA axis, proposing it as a potential biomarker for cancer detection and treatment monitoring.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Autophagy is a key cellular process regulating tumor viability, metabolism, and drug resistance.
- Circulating tumor DNA (ctDNA) is fragmented DNA released from dying tumor cells, detectable via blood tests for non-invasive cancer identification.
- Emerging evidence suggests a link between autophagy and ctDNA dynamics, termed the autophagy-ctDNA axis.
Purpose of the Study:
- To explore the mechanistic relationship between autophagy and circulating tumor DNA (ctDNA) dynamics.
- To present the autophagy-ctDNA axis as a hypothetical model for further investigation in cancer.
- To discuss the potential clinical implications of this interaction in cancer management.
Main Methods:
- Review of existing mechanistic evidence on autophagy's role in apoptosis, necrosis, and genomic instability.
- Analysis of how tumor microenvironment stressors influence autophagy and ctDNA release.
- Discussion of therapeutic targeting of autophagy and its potential impact on ctDNA levels.
Main Results:
- Autophagy modulation can influence ctDNA shedding: cytoprotective autophagy reduces DNA release, while inhibited autophagy increases it due to genomic instability.
- Tumor microenvironment factors like hypoxia and nutrient depletion can induce autophagy, indirectly affecting ctDNA.
- Pharmacological targeting of autophagy pathways (e.g., with chloroquine or mTOR inhibitors) may alter ctDNA concentrations.
Conclusions:
- The autophagy-ctDNA axis is a promising, yet under-investigated, area with potential for cancer biomarker development.
- Further mechanistic and translational research is needed to validate the clinical utility of targeting autophagy for ctDNA modulation.
- Understanding this axis could offer new strategies for cancer early detection, prognosis, and real-time treatment monitoring.
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