ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment DOI Creative Commons
Haojie Dai, Xi Zhang, You‐Yang Zhao

et al.

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: March 19, 2025

Abstract Background Genes that participate in the absorption, distribution, metabolism, excretion (ADME) processes occupy a central role pharmacokinetics. Meanwhile, variability clinical outcomes and responses to treatment is notable bladder cancer (BLCA). Methods Our study utilized expansive datasets from TCGA GEO explore prognostic factors cancer. Utilizing both univariate Cox regression lasso techniques, we identified ADME genes critical for patient outcomes. our study, model assessing risk was constructed. The evaluation of this model's predictive precision conducted using Kaplan–Meier survival curves assessments based on ROC curves. Furthermore, devised nomogram, offering straightforward visualization crucial indicators. To potential mediating differences between high low groups, performed comprehensive analyses including Gene Ontology (GO) Kyoto Encyclopedia Genomes (KEGG)-based enrichment analyses, immune infiltration variations, somatic mutation landscapes, pharmacological sensitivity response assessment etc. Immediately following this, selected core PPI network explored as well modulation, pathway activation. And differential expression verified by immunohistochemistry qRT-PCR. Finally pan-cancer biomarkers. Results efforts culminated establishment validated 17-gene ADME-centered prediction model, displaying remarkable accuracy BLCA prognosis. Through separate cox importance model’s score forecasting substantiated. novel nomogram incorporating variables alongside introduced. Comprehensive studies established strong correlation several key indicators: patterns cell infiltration, reactions immunotherapy, landscape profiles drug sensitivity. We screened gene CYP2C8, its tumor bioregulation upregulated found it can serve reliable biomarker pan-cancer. Conclusion formulated research stands formidable instrument prognosis, while also providing insights into disease's progression mechanisms guiding decision-making strategies.

Language: Английский

ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment DOI Creative Commons
Haojie Dai, Xi Zhang, You‐Yang Zhao

et al.

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: March 19, 2025

Abstract Background Genes that participate in the absorption, distribution, metabolism, excretion (ADME) processes occupy a central role pharmacokinetics. Meanwhile, variability clinical outcomes and responses to treatment is notable bladder cancer (BLCA). Methods Our study utilized expansive datasets from TCGA GEO explore prognostic factors cancer. Utilizing both univariate Cox regression lasso techniques, we identified ADME genes critical for patient outcomes. our study, model assessing risk was constructed. The evaluation of this model's predictive precision conducted using Kaplan–Meier survival curves assessments based on ROC curves. Furthermore, devised nomogram, offering straightforward visualization crucial indicators. To potential mediating differences between high low groups, performed comprehensive analyses including Gene Ontology (GO) Kyoto Encyclopedia Genomes (KEGG)-based enrichment analyses, immune infiltration variations, somatic mutation landscapes, pharmacological sensitivity response assessment etc. Immediately following this, selected core PPI network explored as well modulation, pathway activation. And differential expression verified by immunohistochemistry qRT-PCR. Finally pan-cancer biomarkers. Results efforts culminated establishment validated 17-gene ADME-centered prediction model, displaying remarkable accuracy BLCA prognosis. Through separate cox importance model’s score forecasting substantiated. novel nomogram incorporating variables alongside introduced. Comprehensive studies established strong correlation several key indicators: patterns cell infiltration, reactions immunotherapy, landscape profiles drug sensitivity. We screened gene CYP2C8, its tumor bioregulation upregulated found it can serve reliable biomarker pan-cancer. Conclusion formulated research stands formidable instrument prognosis, while also providing insights into disease's progression mechanisms guiding decision-making strategies.

Language: Английский

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