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A comprehensive analysis of immunogenic cell death and its key gene HSP90AA1 in bladder cancer
Song, Qiang; Zhou, Zhengdong; Bai, Jinming; Liu, Ning.
Afiliación
  • Song, Qiang; Affiliated Hospital of Nanjing University Medical School). The First People’s Hospital of Yancheng (Yancheng First Hospital. Department of Urology. Yancheng. China
  • Zhou, Zhengdong; Affiliated Hospital of Nanjing University Medical School). The First People’s Hospital of Yancheng (Yancheng First Hospital. Department of Urology. Yancheng. China
  • Bai, Jinming; Affiliated Hospital of Nanjing University Medical School). The First People’s Hospital of Yancheng (Yancheng First Hospital. Department of Urology. Yancheng. China
  • Liu, Ning; Affiliated Hospital of Nanjing University Medical School). The First People’s Hospital of Yancheng (Yancheng First Hospital. Department of Urology. Yancheng. China
Clin. transl. oncol. (Print) ; 25(8): 2587-2606, aug. 2023.
Article en En | IBECS | ID: ibc-222433
Biblioteca responsable: ES1.1
Ubicación: ES15.1 - BNCS
ABSTRACT
Background Bladder cancer (BLCA) is defined as a type of urinary cancer with high incidence and lack of specific biomarkers and drug targets. Immunogenic cell death (ICD) has been classified as a regulated type of cell death. Growing evidence suggested that ICD can reshape the tumor immune microenvironment, which may contribute to the development of immunotherapy strategies. The aim of this study was to reveal the specific mechanism of ICD in bladder cancer and to further predict the prognostic immunotherapy outcomes. Methods By consensus clustering analysis, bladder cancer patients in TCGA database were divided into different ICD subtypes. Additionally, we developed an ICD-scoring system and constructed the ICD score-based risk signature and nomogram to better characterize patients. Furthermore, we carried out a series of experiments to verify the relevant findings. Results Based on the transcriptome expression levels of ICD-related genes, a total of 403 BLCA patients in the TCGA database were divided into two subgroups with different ICD molecular patterns by consensus cluster analysis. These subgroups showed different clinicopathological features, survival outcomes, tumor microenvironment (TME) characteristics, immune-related scores, and treatment response. Moreover, the established prediction model and ICD score can effectively distinguish high risk/score patients from low risk/score patients, which has excellent predictive value. Finally, we found that the key gene HSP90AA1 was highly expressed in the high-ICD score group and in bladder cancer tissues, and was confirmed to be associated with the proliferation of bladder cancer cells (AU)
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Colección: 06-national / ES Base de datos: IBECS Asunto principal: Neoplasias de la Vejiga Urinaria Límite: Humans Idioma: En Revista: Clin. transl. oncol. (Print) Año: 2023 Tipo del documento: Article
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Colección: 06-national / ES Base de datos: IBECS Asunto principal: Neoplasias de la Vejiga Urinaria Límite: Humans Idioma: En Revista: Clin. transl. oncol. (Print) Año: 2023 Tipo del documento: Article