Dataset Information

Identification and validation of a novel prognostic model based on platinum Resistance-related genes in bladder cancer.

ABSTRACT:

Background

The depth of response to platinum in urothelial neoplasm tissues varies greatly. Biomarkers that have practical value in prognosis stratification are increasingly needed. Our study aimed to select a set of BC (bladder cancer)-related genes involved in both platinum resistance and survival, then use these genes to establish the prognostic model.

Materials and methods

Platinum resistance-related DEGs (differentially expressed genes) and tumorigenesis-related DEGs were identified. Ten most predictive co-DEGs were acquired followed by building a risk score model. Survival analysis and ROC (receiver operating characteristic) plot were used to evaluate the predictive accuracy. Combined with age and tumor stages, a nomogram was generated to create a graphical representation of survival rates at 1-, 3-, 5-, and 8-year in BC patients. The prognostic performance was validated in three independent BC datasets with platinum-based chemotherapy. The potential mechanism was explored by enrichment analysis.

Results

PPP2R2B, TSPAN7, ATAD3C, SYT15, SAPCD1, AKR1B1, TCHH, AKAP12, AGLN3, and IGF2 were selected for our prognostic model. Patients in high- and low-risk groups exhibited a significant survival difference with HR (hazard ratio) = 2.7 (p < 0.0001). The prognostic nomogram of predicting 3-year OS (overall survival) for BC patients could yield an AUC (area under the curve) of 0.819. In the external validation dataset, the risk score also has a robust predictive ability.

Conclusion

A prognostic model derived from platinum resistance-related genes was constructed, we confirmed its value in predicting platinum-based chemotherapy benefits and overall survival for BC patients. The model might assist in therapeutic decisions for bladder malignancy.

SUBMITTER: Hao Y

PROVIDER: S-EPMC9881817 | biostudies-literature | 2023 Jan-Feb

REPOSITORIES: biostudies-literature

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Publications

Identification and validation of a novel prognostic model based on platinum Resistance-related genes in bladder cancer.

Hao Yining Y Wang Chenghe C Xu Danfeng D

International braz j urol : official journal of the Brazilian Society of Urology 20230101 1

<h4>Background</h4>The depth of response to platinum in urothelial neoplasm tissues varies greatly. Biomarkers that have practical value in prognosis stratification are increasingly needed. Our study aimed to select a set of BC (bladder cancer)-related genes involved in both platinum resistance and survival, then use these genes to establish the prognostic model.<h4>Materials and methods</h4>Platinum resistance-related DEGs (differentially expressed genes) and tumorigenesis-related DEGs were ide ...[more]

PMID: 36512456

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Dataset Information

Identification and validation of a novel prognostic model based on platinum Resistance-related genes in bladder cancer.

Background

Materials and methods

Results

Conclusion

Publications

Identification and validation of a novel prognostic model based on platinum Resistance-related genes in bladder cancer.

Similar Datasets

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