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Identification of crucial ubiquitin-associated genes for predicting the effects of immunotherapy and therapeutic agents in colorectal cancer.
Cao, Peng; Li, Qilin; Zou, Danyi; Wang, Lin; Wang, Zheng.
Afiliação
  • Cao P; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430022, China; Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Li Q; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430022, China; Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Zou D; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430022, China; Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Wang L; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430022, China; Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China. Elect
  • Wang Z; Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China; Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong, University of Science & Technology, Wuhan 430022, China.
Gene ; 904: 148215, 2024 Apr 30.
Article em En | MEDLINE | ID: mdl-38307218
ABSTRACT

BACKGROUND:

A growing body of research indicates that colorectal cancer (CRC) is significantly influenced by the ubiquitin-proteasome system. Nevertheless, reliable immune landscapes and ubiquitin-associated prognostic markers are still scarce.

METHODS:

We systematically analyzed the RNA-seq data of 2,830 ubiquitin-related genes from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). A CRC prognostic risk model was developed based on ubiquitin-associated gene signatures. In-depth multi-dimensional analyses were performed on ubiquitin-related subgroups with high and low risk. Drug response sensitivity for high-risk CRC patients was also predicted.

RESULTS:

A total of 131 ubiquitin-related differentially expressed genes were retrieved, of which 9 prognostic genes for CRC were ultimately identified and further validated by our clinical CRC tumor and adjacent normal samples. The expression pattern of these 9 ubiquitin-associated genes was found to be strongly related to overall survival, immune cell fractions, and immune-related genes of CRC patients. CRC patients stratified by the ubiquitin prognostic model exhibited distinct clinicopathological characteristics and immune landscapes. A comprehensive framework for personalized medicine prediction identified regorafenib and sorafenib as the most promising therapeutic agents for high ubiquitin-related risk CRC patients, which was confirmed in cell viability assays.

CONCLUSIONS:

Ubiquitin characteristics can reflect CRC prognosis and help develop innovative biomarkers for precision treatment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Imunoterapia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Imunoterapia Idioma: En Ano de publicação: 2024 Tipo de documento: Article