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A 7-gene signature predicts the prognosis of patients with bladder cancer.
Tang, Fucai; Li, Zhibiao; Lai, Yongchang; Lu, Zechao; Lei, Hanqi; He, Chengwu; He, Zhaohui.
Afiliação
  • Tang F; Department of Urology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shennan Zhong Road #3025, Futian District, Shenzhen, 518033, Guangdong, China.
  • Li Z; The Third Clinical College of Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
  • Lai Y; Department of Urology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shennan Zhong Road #3025, Futian District, Shenzhen, 518033, Guangdong, China.
  • Lu Z; Department of Urology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shennan Zhong Road #3025, Futian District, Shenzhen, 518033, Guangdong, China.
  • Lei H; Department of Urology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China.
  • He C; Department of Urology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • He Z; Department of Urology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shennan Zhong Road #3025, Futian District, Shenzhen, 518033, Guangdong, China.
BMC Urol ; 22(1): 8, 2022 Jan 28.
Article em En | MEDLINE | ID: mdl-35090432
ABSTRACT
The biomarkers have an important guiding role in prognosis and treatment of patients with bladder cancer (BC). The aim of the present study was to identify and evaluate a prognostic gene signature in BC patients. The gene expression profiles of BC samples and the corresponding clinicopathological data were downloaded from GEO and TCGA. The differentially expressed genes (DEGs) were identified by R software. Univariate Cox regression and the least absolute shrinkage and selection operator (LASSO) Cox regression were applied to construct the prognostic score model. A nomogram was established with the identified prognostic factors to predict the overall survival rates of BC patients. The discriminatory and predictive capacity of the nomogram was evaluated based on the concordance index (C-index), calibration curves and decision curve analysis (DCA). A 7-gene signature (KLRB1, PLAC9, SETBP1, NR2F1, GRHL2, ANXA1 and APOL1) was identified from 285 DEGs by univariate and LASSO Cox regression analyses. Univariate and multivariate Cox regression analyses showed that age, lymphovascular invasion, lymphatic metastasis, metastasis and the 7-gene signature risk score was an independent predictor of BC patient prognosis. A nomogram that integrated these independent prognostic factors was constructed. The C-index (0.73, CI 95%, 0.693-0.767) and calibration curve demonstrated the good performance of the nomogram. DCA of the nomogram further showed that this model exhibited good net benefit. The combined 7-gene signature could serve as a biomarker for predicting BC prognosis. The nomogram built by risk score and other clinical factors could be an effective tool for predicting the prognosis of patients with BC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Nomogramas / Transcriptoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Nomogramas / Transcriptoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article