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Development of an ubiquitin-proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple-negative breast cancer.
Chen, Xiaoqing; Ren, Chongyang; Zhou, Zhisheng; Chen, Jiewen; Fan, Xulong; Li, Xiangzhi; Chen, Jintao; Zhu, Jing.
Afiliación
  • Chen X; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Ren C; Department of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zhou Z; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Chen J; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Fan X; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Li X; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Chen J; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
  • Zhu J; Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China.
J Gene Med ; 26(1): e3584, 2024 Jan.
Article en En | MEDLINE | ID: mdl-37605934
ABSTRACT

BACKGROUND:

Triple-negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin-proteasome system (UPS) component could be a novel therapeutic tool.

METHODS:

Triple-negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction.

RESULTS:

Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators.

CONCLUSION:

The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complejo de la Endopetidasa Proteasomal / Neoplasias de la Mama Triple Negativas Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Gene Med Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complejo de la Endopetidasa Proteasomal / Neoplasias de la Mama Triple Negativas Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Gene Med Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China