SLC15A2 Serves as a Novel Prognostic Biomarker and Target for Prostate Cancer DOI Creative Commons
Wenjun Yin, Ping He,

Zhihao Zou

et al.

Anticancer Research, Journal Year: 2024, Volume and Issue: 45(1), P. 153 - 172

Published: Dec. 30, 2024

Background/Aim: Solute carrier (SLC) family 15 member 2 (SLC15A2) is an integral of the SLC that plays a pivotal role in numerous biological processes, including regulation cellular signaling pathways. However, its prostate cancer (PCa) remains inadequately elucidated. This study aims to investigate prognostic significance SLC15A2 PCa. Materials and Methods: We evaluated expression levels multicenter cohorts PCa through differential analysis, survival Cox regression. These findings were validated immunohistochemistry vitro experiments. Gene set enrichment mutation methylation analysis used potential functions SLC15A2. Finally, drug target prediction was conducted identify small molecule therapeutic agents specifically targeting Results: The level tissues significantly lower compared benign tissues, reduced often associated with early biochemical recurrence (BCR) decreased overall patients. Moreover, results from experiments indicated knockdown markedly enhanced proliferation migratory capacity cells. Enrichment predominantly activates pathways related cell proliferation, adhesion, lipid metabolism while inhibiting protein synthesis, degradation, RNA metabolism, energy metabolism. Notably, frequency TP53 mutations 8q24.21 copy number variations higher low group. DNA hypermethylation at gene body linked downregulation Connectivity Map database identified several promising drugs for treatment, rucaparib. Conclusion: Our suggest serves as biomarker PCa, enabling accurate risk stratification BCR. insight may contribute advancement personalized treatment strategies

Language: Английский

Identification of metastasis-related genes for predicting prostate cancer diagnosis, metastasis and immunotherapy drug candidates using machine learning approaches DOI Creative Commons
Yaxuan Wang, Bo Ji, Lu Zhang

et al.

Biology Direct, Journal Year: 2024, Volume and Issue: 19(1)

Published: June 25, 2024

Abstract Background Prostate cancer (PCa) is the second leading cause of tumor-related mortality in men. Metastasis from advanced tumors primary death among patients. Identifying novel and effective biomarkers essential for understanding mechanisms metastasis PCa patients developing successful interventions. Methods Using GSE8511 GSE27616 data sets, 21 metastasis-related genes were identified through weighted gene co-expression network analysis (WGCNA) method. Subsequent functional these was conducted on set (GSCA) website. Cluster utilized to explore relationship between genes, immune infiltration PCa, efficacy targeted drug IC50 scores. Machine learning algorithms then employed construct diagnostic prognostic models, assessing their predictive accuracy. Additionally, multivariate COX regression highlighted significant role POLD1 examined its association with DNA methylation. Finally, molecular docking immunohistochemistry experiments carried out assess binding affinity drugs impact prognosis. Results The study using WGCNA method, which found be associated damage, hormone AR activation, inhibition RTK pathway. confirmed a correlation metastasis, particularly context immunotherapy therapy drugs. A model combining multiple machine showed strong capabilities diagnosis, while transfer LASSO algorithm also yielded promising results. emerged as key metastatic showing associations Molecular supported high PCa-targeted Immunohistochemistry further validated that increased expression linked poor prognosis Conclusions developed models provide substantial value prostate cancer. discovery biomarker related offers avenue enhancing treatment metastasis.

Language: Английский

Citations

24
Efficient Discovery of Robust Prognostic Biomarkers and Signatures in Solid Tumors DOI
Zaoqu Liu, Jinhai Deng, Hui Xu

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217502 - 217502

Published: Jan. 1, 2025

Language: Английский

Citations

0
A Multi-Omics-Based Exploration of the Predictive Role of MSMB in Prostate Cancer Recurrence: A Study Using Bayesian Inverse Convolution and 10 Machine Learning Combinations DOI Creative Commons

Shan Huang,

Hang Yin

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 487 - 487

Published: Feb. 16, 2025

Background: Prostate cancer (PCa) is a prevalent malignancy among elderly men. Biochemical recurrence (BCR), which typically occurs after radical treatments such as prostatectomy or radiation therapy, serves critical indicator of potential disease progression. However, reliable and effective methods for predicting BCR in PCa patients remain limited. Methods: In this study, we used Bayesian deconvolution combined with 10 machine learning algorithms to build five-gene model The the five selected genes were externally validated. Various analyses prognosis, clinical subgroups, tumor microenvironment, immunity, genetic variants, drug sensitivity performed on MSMB/Epithelial_cells subgroups. Results: Our outperformed 102 previously published prognostic features. Notably, high proportion MSMB/epithelial cells characterized by greater progression-free Interval (PFI), higher early-stage tumors, lower stromal component, reduced presence tumor-associated fibroblasts (CAF). was also associated frequencies SPOP TP53 mutations. Drug analysis revealed that poorer prognosis cell ratio showed increased cyclophosphamide, cisplatin, dasatinib. Conclusions: developed study provides robust accurate tool It offers significant enhancing risk stratification informing personalized treatment strategies patients.

Language: Английский

Citations

0
Unveiling SMAD family member 6 as a novel biomarker for prognosis and immunotherapy response in testicular germ cell tumors DOI Open Access

Huan Lin,

Xiaowen Lin,

Peisheng Huang

et al.

Andrology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Despite its rarity, testicular germ cell tumor (TGCT) is commonly diagnosed in young males aged 20-40. In recent years, the global prevalence of TGCT has gradually increased, with 12-30% patients experiencing relapse and metastasis. However, there are currently no reliable biomarkers for accurately predicting prognosis patients. Therefore, identifying novel risk stratification an immediate priority. Using samples from multiple centers, we identified a prognostic biomarker (SMAD family member 6 [SMAD6]) through differential expression analysis, Cox regression, survival analysis. Immunohistochemistry (IHC) was then employed to evaluate SMAD6 levels normal tissues samples. Finally, examined relationship between biological characteristics, mutation landscape, immune infiltration, response immunotherapy. Our study as factor prognosis. IHC revealed significant tissues. Functional enrichment analysis indicated that may contribute activation progression-related pathways suppression immune-related pathways. Additionally, high correlated reduced CD8+ T while low benefited more This highlights potential be useful immunotherapy prediction, offering promising target personalized medicine strategies.

Language: Английский

Citations

0
Phosphoribosyl Transferase Domain Containing 1: A Biomarker Predicting Prognosis and Immunotherapy Response for Testicular Germ Cell Tumors DOI Creative Commons

Peisheng Huang,

Yi‐Hao Chen,

Yongcheng Shi

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 200958 - 200958

Published: Feb. 1, 2025

Due to the heterogeneity and complex classification of testicular germ cell tumors (TGCTs), prognostic evaluation therapeutic targets remain unclear. Therefore, identifying a novel biomarker comprehensively assess TGCT prognosis immunotherapy response is crucial. We collected data from 457 patient samples 12 normal across six cohorts. Differential expression analysis combined with univariate Cox regression identified markers for TGCT. Multivariate survival further evaluated value phosphoribosyl transferase domain containing 1 (PRTFDC1). Immunohistochemistry on tissue microarrays validated PRTFDC1's predictive in clinical samples. then investigated relationship between PRTFDC1 somatic mutations, copy number variations, immune infiltration, response. Through these analyses, we as an independent risk factor indicating poor demonstrated high tissues. Gene set enrichment revealed that suppresses immune-related pathways. Immune infiltration showed associated low CD8+ T infiltration. Immunotherapy indicated predicts better favorable prognosis. In conclusion, this study elucidates biological significance PRTFDC1, suggesting it effective reliable predicting

Language: Английский

Citations

0
Multi-Omics Analysis of the Anoikis Gene CASP8 in Prostate Cancer and Biochemical Recurrence (BCR) DOI Creative Commons
Shan Huang,

Hang Yin

Biomedicines, Journal Year: 2025, Volume and Issue: 13(3), P. 661 - 661

Published: March 7, 2025

Background: Prostate cancer, as an androgen-dependent malignant tumor in older men, has attracted the attention of a wide range clinicians. BCR remains significant challenge following early prostate cancer treatment. Methods: The specific expression pattern Anoikis gene set cells was first explored by single-cell and spatial transcriptomics analysis. Genes causally associated with were screened using Summary-data-based Mendelian Randomization (SMR). Subsequently, we role mechanism CASP8 defined new cell type: T cell. We constructed prediction model that can better predict differences various aspects clinical subgroups, microenvironments, immune checkpoints, drug sensitivities, tumor-immune circulations between high- low-risk groups. results SMR analysis indicated could increase risk cancer. Based on differential genes CASP8-positive -negative cells, four-gene prognostic 5-year AUC 0.713. Results: revealed high-risk patients had characteristics such higher purity, rate, downregulated SIRPA unique sensitivity. Conclusions: In summary, may be potential biomarker for

Language: Английский

Citations

0
RNA modification Regulators’ Co-Expression Score (RMRCoeS) predicts biochemical recurrence and therapy response in prostate cancer: A multi-omics and experimental validation study DOI

Zhouda Cai,

Zhaojun Jiang,

Songbo Li

et al.

International Immunopharmacology, Journal Year: 2024, Volume and Issue: 139, P. 112723 - 112723

Published: July 24, 2024

Language: Английский

Citations

1
Evaluating trophinin associated protein as a biomarker of prognosis and therapy response in renal cell carcinoma DOI Creative Commons

Qinglin Tan,

Peiliang Kong,

G. B. Chen

et al.

BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)

Published: Aug. 17, 2024

Trophinin Associated Protein (TROAP) has been implicated in some tumors, yet its role renal cell carcinoma (RCC) remains underexplored. This study aims to elucidate the prognostic and therapeutic implications of TROAP RCC, encompassing different subtypes.

Language: Английский

Citations

0
SLC15A2 Serves as a Novel Prognostic Biomarker and Target for Prostate Cancer DOI Creative Commons
Wenjun Yin, Ping He,

Zhihao Zou

et al.

Anticancer Research, Journal Year: 2024, Volume and Issue: 45(1), P. 153 - 172

Published: Dec. 30, 2024

Background/Aim: Solute carrier (SLC) family 15 member 2 (SLC15A2) is an integral of the SLC that plays a pivotal role in numerous biological processes, including regulation cellular signaling pathways. However, its prostate cancer (PCa) remains inadequately elucidated. This study aims to investigate prognostic significance SLC15A2 PCa. Materials and Methods: We evaluated expression levels multicenter cohorts PCa through differential analysis, survival Cox regression. These findings were validated immunohistochemistry vitro experiments. Gene set enrichment mutation methylation analysis used potential functions SLC15A2. Finally, drug target prediction was conducted identify small molecule therapeutic agents specifically targeting Results: The level tissues significantly lower compared benign tissues, reduced often associated with early biochemical recurrence (BCR) decreased overall patients. Moreover, results from experiments indicated knockdown markedly enhanced proliferation migratory capacity cells. Enrichment predominantly activates pathways related cell proliferation, adhesion, lipid metabolism while inhibiting protein synthesis, degradation, RNA metabolism, energy metabolism. Notably, frequency TP53 mutations 8q24.21 copy number variations higher low group. DNA hypermethylation at gene body linked downregulation Connectivity Map database identified several promising drugs for treatment, rucaparib. Conclusion: Our suggest serves as biomarker PCa, enabling accurate risk stratification BCR. insight may contribute advancement personalized treatment strategies

Language: Английский

Citations

0