본문으로 건너뛰기
← 뒤로

A systems biology approach to programmed cell death in prostate cancer: Biomarker discovery and therapeutic potential of DL-PDMP.

2/5 보강
Computational biology and chemistry 📖 저널 OA 8.1% 2024: 1/4 OA 2025: 0/12 OA 2026: 6/70 OA 2024~2026 2026 Vol.122() p. 108912 Ferroptosis and cancer prognosis
TL;DR It is suggested that targeting PCD-associated biomarkers is a promising strategy for prostate cancer treatment, making DL-PDMP a strong candidate for further preclinical studies.
Retraction 확인
출처
PubMed DOI OpenAlex Semantic 마지막 보강 2026-04-28
OpenAlex 토픽 · Ferroptosis and cancer prognosis Prostate Cancer Treatment and Research Cancer, Stress, Anesthesia, and Immune Response

Oktem EK, Bener MY, Demir U

📝 환자 설명용 한 줄

It is suggested that targeting PCD-associated biomarkers is a promising strategy for prostate cancer treatment, making DL-PDMP a strong candidate for further preclinical studies.

이 논문을 인용하기

↓ .bib ↓ .ris
APA Elif Kubat Oktem, Muhammed Yasar Bener, Ummuhan Demir (2026). A systems biology approach to programmed cell death in prostate cancer: Biomarker discovery and therapeutic potential of DL-PDMP.. Computational biology and chemistry, 122, 108912. https://doi.org/10.1016/j.compbiolchem.2026.108912
MLA Elif Kubat Oktem, et al.. "A systems biology approach to programmed cell death in prostate cancer: Biomarker discovery and therapeutic potential of DL-PDMP.." Computational biology and chemistry, vol. 122, 2026, pp. 108912.
PMID 41576692 ↗

Abstract

Prostatic adenocarcinoma (PRAD) is among the most common malignancies in men and is characterized by considerable genetic and epigenetic heterogeneity. Despite advances in diagnosis and treatment, options for advanced and refractory prostate cancer remain limited, which adversely affects patient prognosis. This project aims to identify diagnostic and prognostic biomarkers associated with programmed cell death (PCD) mechanisms in prostate cancer and to reposition existing drugs that target these biomarkers. Using RNA-seq and clinical data from The Cancer Genome Atlas (TCGA), differential gene expression, ROC curve, and survival analyses identified six candidate biomarkers with strong diagnostic and prognostic significance. Three small molecules - DL-PDMP, clobetasol propionate, and metoclopramide hydrochloride - capable of reversing gene expression profiles were selected for in vitro assays in a drug repositioning analysis conducted using the L1000CDS2 platform. Among these, DL-PDMP was prioritized because of its low IC value and low toxicity to normal prostate epithelial cells. Furthermore, DL-PDMP has been shown to induce apoptosis and suppress colony formation. These findings suggest that targeting PCD-associated biomarkers is a promising strategy for prostate cancer treatment, making DL-PDMP a strong candidate for further preclinical studies.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반