Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer
Abstract Background Collagen, within the tumor microenvironment (TME), assumes a crucial function in the development of cancer. However, the expression of collagen genes in bladder cancer (BCa) remains inadequately comprehended. The aim of this study is to examine the collagen genes expression in th...
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| Format: | Article |
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Springer
2025-08-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-03136-4 |
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| author | Yi Huang Shuogui Fang Weibin Xie Yitong Zou Hui Zhuo Gang Shen Hua Zhou ChunPing Mao Cong Lai Jianqiu Kong Xinxiang Fan |
| author_facet | Yi Huang Shuogui Fang Weibin Xie Yitong Zou Hui Zhuo Gang Shen Hua Zhou ChunPing Mao Cong Lai Jianqiu Kong Xinxiang Fan |
| author_sort | Yi Huang |
| collection | DOAJ |
| description | Abstract Background Collagen, within the tumor microenvironment (TME), assumes a crucial function in the development of cancer. However, the expression of collagen genes in bladder cancer (BCa) remains inadequately comprehended. The aim of this study is to examine the collagen genes expression in the BCa TME, and construct a nomogram to predict the overall survival for patients diagnosed with BCa. Methods The Cancer Genome Atlas (TCGA) database (N = 401) and the Gene Expression Omnibus (GEO) database (N = 165) were employed for training and validation cohorts. The correlation between the collagen genes assay and overall survival was investigated using Cox regression analysis. Model construction employed the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm. The model's performance was thoroughly assessed, including its discrimination, calibration, and clinical utility. Results The nomogram, incorporating the P3H4, C1QTNF6, COLGALT1, COL4A1, COL14A1, RGCC, PPARG, SCX and age by utilizing least absolute shrinkage and selection operator Cox regression algorithm, exhibits the favorable predictive capability in the area under the receiver operator characteristic curve, the calibration curve and decision curve analysis. Then, we investigated that C1QTNF6, COL4A1, COL14A1, RGCC and P3H4 were significantly associated with lymph node-positive BCa patients. Additionally, the correlation of collagen genes with tumor mutation burden and immune characteristic was elucidated. Conclusion We developed a favorable prognostic model using collagen genes, which are potential biomarkers for forecasting the prognosis of BCa. |
| format | Article |
| id | doaj-art-8defb5c4bd4a4b2cbb18a9d968b001a3 |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-8defb5c4bd4a4b2cbb18a9d968b001a32025-08-20T04:02:54ZengSpringerDiscover Oncology2730-60112025-08-0116111110.1007/s12672-025-03136-4Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancerYi Huang0Shuogui Fang1Weibin Xie2Yitong Zou3Hui Zhuo4Gang Shen5Hua Zhou6ChunPing Mao7Cong Lai8Jianqiu Kong9Xinxiang Fan10Department of Urology, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong UniversityDepartment of Radiotherapy, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Urology, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong UniversityDepartment of Urology, DUSHU Lake Hospital Affiliated to Soochow UniversityDepartment of Urology, Puer People’s HospitalDepartment of Radiology, Department of Radiology, Zhujiang Hospital, Southern Medical UniversityDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversityAbstract Background Collagen, within the tumor microenvironment (TME), assumes a crucial function in the development of cancer. However, the expression of collagen genes in bladder cancer (BCa) remains inadequately comprehended. The aim of this study is to examine the collagen genes expression in the BCa TME, and construct a nomogram to predict the overall survival for patients diagnosed with BCa. Methods The Cancer Genome Atlas (TCGA) database (N = 401) and the Gene Expression Omnibus (GEO) database (N = 165) were employed for training and validation cohorts. The correlation between the collagen genes assay and overall survival was investigated using Cox regression analysis. Model construction employed the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm. The model's performance was thoroughly assessed, including its discrimination, calibration, and clinical utility. Results The nomogram, incorporating the P3H4, C1QTNF6, COLGALT1, COL4A1, COL14A1, RGCC, PPARG, SCX and age by utilizing least absolute shrinkage and selection operator Cox regression algorithm, exhibits the favorable predictive capability in the area under the receiver operator characteristic curve, the calibration curve and decision curve analysis. Then, we investigated that C1QTNF6, COL4A1, COL14A1, RGCC and P3H4 were significantly associated with lymph node-positive BCa patients. Additionally, the correlation of collagen genes with tumor mutation burden and immune characteristic was elucidated. Conclusion We developed a favorable prognostic model using collagen genes, which are potential biomarkers for forecasting the prognosis of BCa.https://doi.org/10.1007/s12672-025-03136-4CollagenBladder cancerNomogramLymph node metastasisThe tumor microenvironment |
| spellingShingle | Yi Huang Shuogui Fang Weibin Xie Yitong Zou Hui Zhuo Gang Shen Hua Zhou ChunPing Mao Cong Lai Jianqiu Kong Xinxiang Fan Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer Discover Oncology Collagen Bladder cancer Nomogram Lymph node metastasis The tumor microenvironment |
| title | Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| title_full | Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| title_fullStr | Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| title_full_unstemmed | Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| title_short | Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| title_sort | collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer |
| topic | Collagen Bladder cancer Nomogram Lymph node metastasis The tumor microenvironment |
| url | https://doi.org/10.1007/s12672-025-03136-4 |
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