Discover oncologyJul 17, 2026

Using data analysis and machine learning to find potential cell recycling targets for treating prostate cancer

Longevity & Aging Weekly Brief ↗PubMed ↗DOI ↗OA ↗

Updated Jul 18, 2026

Abstract

A systematic evaluation of autophagy-related prostate cancer research trends is presented.

Autophagy is linked to potential therapeutic strategies in prostate cancer.
Bibliometric methods reveal global research trends in this field.
Emerging hotspots in autophagy-related prostate cancer studies have been identified.

Simplified

Autophagy is increasingly recognized as a promising therapeutic target in prostate cancer (PCa), yet its research landscape has not been systematically evaluated. This study uses bibliometric methods to characterize global research trends and identify emerging hotspots in autophagy-related PCa studies.

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PubMed

Using data analysis and machine learning to find potential cell recycling targets for treating prostate cancer

Abstract

Full Text

Funding

Competing interests

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