Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis

Lymph node (LN) metastasis is related to poor prognosis in bladder cancer (BLCA). To explore novel signature genes associated with LN metastasis in BLCA, we identified 17 signature genes with nonzero coefficients to construct the prognostic model, which demonstrated a prognostic accuracy with an area under the curve of 0.706 at 1 year, 0.701 at 3 years, and 0.688 at 5 years. <i>EPN2</i>, <i>CYP4F12</i>, and especially <i>FKBP10</i>, three of the above signature genes, exhibited significant upregulation in BLCA with LN metastasis, thereby contributing to the unfavorable survival of BLCA patients. Meanwhile, we validated that FKBP10 exerts a biological function in bladder cancer metastasis through cytological experiments. Moreover, by utilizing the CIBERSORT algorithm and immunofluorescence assay, we identified and validated a significant upregulation of M0 macrophages, alongside a downregulation of activated NK cells and CD8<sup>+</sup> T cells, which were associated with the presence of LN metastasis in BLCA. Conclusively, these results will provide new insights for future improvements in diagnosis, treatment, and prognosis evaluation for BLCA patients with LN metastasis.

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Journal
ACS Omega
Published
2025-10-17
DOI
https://doi.org/10.1021/acsomega.5c06695
Primary Topic
Radiomics and Machine Learning in Medical Imaging
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article
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article

Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis

Wenming Cao, Yijun Sun, Hongqian Guo, Wei Chen et al.
ACS Omega
Radiomics and Machine Learning in Medical Imaging
article

Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis

Wenming Cao, Yijun Sun, Hongqian Guo, Wei Chen, Qing Hua Zhang, Xinping Wang, Jiyuan Sun, Meng Ding, Wenli Diao
article en

Abstract

Lymph node (LN) metastasis is related to poor prognosis in bladder cancer (BLCA). To explore novel signature genes associated with LN metastasis in BLCA, we identified 17 signature genes with nonzero coefficients to construct the prognostic model, which demonstrated a prognostic accuracy with an area under the curve of 0.706 at 1 year, 0.701 at 3 years, and 0.688 at 5 years. <i>EPN2</i>, <i>CYP4F12</i>, and especially <i>FKBP10</i>, three of the above signature genes, exhibited significant upregulation in BLCA with LN metastasis, thereby contributing to the unfavorable survival of BLCA patients. Meanwhile, we validated that FKBP10 exerts a biological function in bladder cancer metastasis through cytological experiments. Moreover, by utilizing the CIBERSORT algorithm and immunofluorescence assay, we identified and validated a significant upregulation of M0 macrophages, alongside a downregulation of activated NK cells and CD8<sup>+</sup> T cells, which were associated with the presence of LN metastasis in BLCA. Conclusively, these results will provide new insights for future improvements in diagnosis, treatment, and prognosis evaluation for BLCA patients with LN metastasis.

ACS OmegaVol. 10(42)
Nanjing Drum Tower Hospital (CN), Nanjing University (CN)
Openalex Percentile: Top 57%
Radiomics and Machine Learning in Medical Imaging
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Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis — Wenming Cao, Yijun Sun, et al. · ACS Omega (2025) | TGRS Research Map | TGRS