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Identification and validation of a novel prognostic model based on platinum resistance-related genes in bladder cancer
Hao, Yining; Wang, Chenghe; Xu, Danfeng.
Afiliação
  • Hao, Yining; Shanghai Jiao Tong University School of Medicine. Ruijin Hospital. Department of Urology. Shanghai. CN
  • Wang, Chenghe; Shanghai Jiao Tong University School of Medicine. Ruijin Hospital. Department of Urology. Shanghai. CN
  • Xu, Danfeng; Shanghai Jiao Tong University School of Medicine. Ruijin Hospital. Department of Urology. Shanghai. CN
Int. braz. j. urol ; 49(1): 61-88, Jan.-Feb. 2023. tab, graf
Article em En | LILACS-Express | LILACS | ID: biblio-1421707
Biblioteca responsável: BR1.1
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Int. braz. j. urol Assunto da revista: UROLOGIA Ano de publicação: 2023 Tipo de documento: Article / Project document País de afiliação: China País de publicação: Brasil
Texto completo
Adicionar na Minha BVS
Imprimir
XML
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Int. braz. j. urol Assunto da revista: UROLOGIA Ano de publicação: 2023 Tipo de documento: Article / Project document País de afiliação: China País de publicação: Brasil