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A novel immune checkpoint-related signature for prognosis and immune analysis in breast cancer.
Hu, Haihong; Yan, Ting; Zhu, Hongxia; Zhan, Wendi; Zhang, Jingdi; Wang, Siyu; Jiang, Lingxiang; Escobar, David; Zhang, Taolan.
Afiliación
  • Hu H; Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Yan T; School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Zhu H; Department of Breast and Thyroid Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, People's Republic of China.
  • Zhan W; Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Zhang J; School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Wang S; Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Jiang L; School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Escobar D; Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Hengyang, 421001, Hunan, People's Republic of China.
  • Zhang T; School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, 421001, Hunan, People's Republic of China.
Clin Exp Med ; 23(8): 5139-5159, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37930605
Breast cancer is one of the most prevailing forms of cancer globally. Immunotherapy has demonstrated efficacy in improving the overall survival of breast cancer. The aim of us was to formulate a novel signature predicated on immune checkpoint-related genes (ICGs) that could anticipate the prognosis and further analyze the immune status of patients with breast cancer. After acquiring data, we pinpointed the definitive ICGs for constructing the prognostic model of breast cancer. We constructed a novel prognostic model and created a fresh risk score called Immune Checkpoint-related Risk Score in breast cancer (ICRSBC). The nomogram was constructed to evaluate the accuracy of the model, and the new web-based tool was created to be more intuitive for predicting prognosis. We also investigated immunotherapy responsiveness and analyzed the tumor mutational burden (TMB) in ICRSBC subgroups. The ICRSBC was found to have significant correlations with the immune environment, immunotherapy responsiveness, and TMB. The expression levels of the 9 ICGs that construct the prognostic model and their promoter methylation levels are significantly different between breast cancer and normal tissues. Furthermore, the mutation profiles, the copy number alterations, and the levels of protein expression also exhibit marked disparities among the 9 ICGs. We have identified and validated a novel signature related to ICGs that is strongly associated with breast cancer progression. This signature enables us to create a risk score for prognosticating the survival and assessing the immune status of individuals affected by breast cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Clin Exp Med Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article Pais de publicación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Clin Exp Med Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article Pais de publicación: Italia