Radiotherapy effects on the ceRNA network in high-risk prostate cancer patients.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
28 patients with HrPCa and 28 healthy subjects were included in the study.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] The ceRNA network monitoring might be emerging as a valuable tool for assessing treatment responses. However, future studies with larger cohorts are needed to validate these results.
[BACKGROUND] Radiotherapy (RT) dramatically reduces the risk of prostate cancer (PCa) recurrence and extends patient lifespans.
- 표본수 (n) 28
APA
Sadani S, Khalighfard S, et al. (2025). Radiotherapy effects on the ceRNA network in high-risk prostate cancer patients.. Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 30(4), 482-492. https://doi.org/10.5603/rpor.107762
MLA
Sadani S, et al.. "Radiotherapy effects on the ceRNA network in high-risk prostate cancer patients.." Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, vol. 30, no. 4, 2025, pp. 482-492.
PMID
41195106 ↗
Abstract 한글 요약
[BACKGROUND] Radiotherapy (RT) dramatically reduces the risk of prostate cancer (PCa) recurrence and extends patient lifespans. Recent studies have begun identifying gene signatures and biomarkers that may predict and monitor RT responses. Hence, we investigated the effects of radiotherapy (RT) on competing endogenous RNA (ceRNA) networks, including long non-coding rinonucleic acid (lncRNA), microRNA (miRNA), and messenger RNA (mRNA), in high-risk prostate cancer (HrPCa) patients.
[MATERIALS AND METHODS] The Gene Expression Omnibus (GEO) database was used to identify mRNAs with significant expression differences. The analysis largely followed the packages outlined in GEO2R. The TargetScan, miRanda, and LncRNA2Target databases were utilized to identify lncRNAs and miRNAs. Protein-protein interactions identified hub genes, and Gene Ontology terms revealed their critical pathways. Finally, 28 patients with HrPCa and 28 healthy subjects were included in the study. Whole blood samples were collected from all participants before and after RT. RNA extraction and cDNA synthesis were then performed, followed by real-time polymerase chain reaction (PCR) to determine the expression of candidate biomarkers. Due to the small sample size (n = 28), Hedges' g was used instead of Cohen's d to minimize bias.
[RESULTS] We identified 3,452 genes, including 1,951 up-regulated and 1,501 down-regulated genes, exhibiting significant differential expression in patients with HrPCa. Ultimately, three lncRNAs, seven miRNAs, and nine mRNAs were selected as candidates for comparison between HrPCa patients and healthy subjects. Unlike a significant increase in tumor suppressors, the expression levels of candidate onco-miRNAs, onco-lncRNAs, and oncogenes in HrPCa patients showed a substantial decrease after RT.
[CONCLUSIONS] The ceRNA network monitoring might be emerging as a valuable tool for assessing treatment responses. However, future studies with larger cohorts are needed to validate these results.
[MATERIALS AND METHODS] The Gene Expression Omnibus (GEO) database was used to identify mRNAs with significant expression differences. The analysis largely followed the packages outlined in GEO2R. The TargetScan, miRanda, and LncRNA2Target databases were utilized to identify lncRNAs and miRNAs. Protein-protein interactions identified hub genes, and Gene Ontology terms revealed their critical pathways. Finally, 28 patients with HrPCa and 28 healthy subjects were included in the study. Whole blood samples were collected from all participants before and after RT. RNA extraction and cDNA synthesis were then performed, followed by real-time polymerase chain reaction (PCR) to determine the expression of candidate biomarkers. Due to the small sample size (n = 28), Hedges' g was used instead of Cohen's d to minimize bias.
[RESULTS] We identified 3,452 genes, including 1,951 up-regulated and 1,501 down-regulated genes, exhibiting significant differential expression in patients with HrPCa. Ultimately, three lncRNAs, seven miRNAs, and nine mRNAs were selected as candidates for comparison between HrPCa patients and healthy subjects. Unlike a significant increase in tumor suppressors, the expression levels of candidate onco-miRNAs, onco-lncRNAs, and oncogenes in HrPCa patients showed a substantial decrease after RT.
[CONCLUSIONS] The ceRNA network monitoring might be emerging as a valuable tool for assessing treatment responses. However, future studies with larger cohorts are needed to validate these results.
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