PEROXISOMEN EN REDOXBALANS IN PROSTAATKANKERCELLEN: HET BELANG VAN CATALASE

Prostate cancer (PCa) is the second most common cancer and fifth leading cause of cancer death among men worldwide. Intriguingly, primary prostate tumors do not undergo a metabolic switch from oxidative phosphorylation to aerobic glycolysis to meet increased energetic and biosynthetic demand for cell growth and division. In contrast, PCa cells preferentially use fatty acids for metabolic fuel, and malignant transformation of prostate tissue is accompanied by a sustained increase in the activity of both lipogenic and oxidative enzymes. As peroxisomes (PO) play a key role in cellular lipid and redox metabolism, it may not come as a surprise that these organelles are increasingly recognized as being involved in the pathogenesis of PCa. However, many uncertainties and inadequacies in our understanding of how PO function in PCa progression remain. This project is intended to gain a more coherent picture of how alterations in PO metabolism contribute to PCa development, progression, and therapy response. Specifically, by employing cutting-edge technologies, we will (i) systematically inventory which peroxisomal parameters are affected in commonly used cell models of PCa, (ii) investigate whether or not the observed alterations can be causally linked to PCa malignancy, and (iii) search for evidence in favor of or against the idea that alterations in PO metabolism can be exploited for PCa therapy. As such, the outcome of this project may be of interest to PCa patients, their families, and health care providers.

Publication Details

Journal
Lirias (KU Leuven)
Published
2025-09-16
Primary Topic
Peroxisome Proliferator-Activated Receptors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PEROXISOMEN EN REDOXBALANS IN PROSTAATKANKERCELLEN: HET BELANG VAN CATALASE

Lirias (KU Leuven)
Peroxisome Proliferator-Activated Receptors
article

PEROXISOMEN EN REDOXBALANS IN PROSTAATKANKERCELLEN: HET BELANG VAN CATALASE

article en

Abstract

Prostate cancer (PCa) is the second most common cancer and fifth leading cause of cancer death among men worldwide. Intriguingly, primary prostate tumors do not undergo a metabolic switch from oxidative phosphorylation to aerobic glycolysis to meet increased energetic and biosynthetic demand for cell growth and division. In contrast, PCa cells preferentially use fatty acids for metabolic fuel, and malignant transformation of prostate tissue is accompanied by a sustained increase in the activity of both lipogenic and oxidative enzymes. As peroxisomes (PO) play a key role in cellular lipid and redox metabolism, it may not come as a surprise that these organelles are increasingly recognized as being involved in the pathogenesis of PCa. However, many uncertainties and inadequacies in our understanding of how PO function in PCa progression remain. This project is intended to gain a more coherent picture of how alterations in PO metabolism contribute to PCa development, progression, and therapy response. Specifically, by employing cutting-edge technologies, we will (i) systematically inventory which peroxisomal parameters are affected in commonly used cell models of PCa, (ii) investigate whether or not the observed alterations can be causally linked to PCa malignancy, and (iii) search for evidence in favor of or against the idea that alterations in PO metabolism can be exploited for PCa therapy. As such, the outcome of this project may be of interest to PCa patients, their families, and health care providers.

Lirias (KU Leuven)
Good health and well-being
Openalex Percentile: Top 38%
Peroxisome Proliferator-Activated Receptors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.