Frontiers in Genetics (Nov 2022)

A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study

  • Huihuang Li,
  • Huihuang Li,
  • Jiao Hu,
  • Jiao Hu,
  • Xiongbing Zu,
  • Xiongbing Zu,
  • Minfeng Chen,
  • Minfeng Chen,
  • Jinbo Chen,
  • Jinbo Chen,
  • Yihua Zou,
  • Ruoping Deng,
  • Gang Qin,
  • Wenze Li,
  • Jiansheng Tang,
  • Dingshan Deng,
  • Dingshan Deng,
  • Jinhui Liu,
  • Jinhui Liu,
  • Chunliang Cheng,
  • Chunliang Cheng,
  • Yu Cui,
  • Yu Cui,
  • Zhenyu Ou,
  • Zhenyu Ou

DOI
https://doi.org/10.3389/fgene.2022.1047481
Journal volume & issue
Vol. 13

Abstract

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Background: Although neoadjuvant chemotherapy (NAC) has become the standard treatment option for muscle invasive bladder carcinoma (MIBC), its application is still limited because of the lack of biomarkers for NAC prediction.Methods: We conducted a territory multicenter real-world study to summarize NAC practice in China and its associated clinicopathologic variables with NAC response. Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).Results: In total, we collected 69 consecutive MIBC patients treated with NAC from four clinical centers. The application of NAC in the real world was relatively safe, with only two grade Ⅳ and seven grade Ⅲ AEs and no treatment-related deaths being reported. Among these patients, 16 patients gave up surgery after NAC, leaving 53 patients for further analysis. We divided them into pathological response and non-response groups and found that there were more patients with a higher grade and stage in the non-response group. Patients with a pathological response could benefit from a significant overall survival (OS) improvement. In addition, univariate and multivariate logistic analyses indicated that tumor grade and clinical T stage were both independent factors for predicting NAC response. Importantly, we developed and validated a five-gene-based risk score for extremely high predictive accuracy for NAC response.Conclusion: NAC was relatively safe and could significantly improve OS for MIBC patients in the real-world practice. Our five-gene-based risk score could guide personalized therapy and promote the application of NAC.

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