The Golgi apparatus (GA), an organelle that processes, sorts, and transports proteins synthesized by the endoplasmic reticulum, is also involved in many cellular processes associated with cancer, such as angiogenesis, the innate immune response, and tumor invasion and migration. We aimed to construct a breast cancer (BC) prognosis prediction model based on GA-related genetic information to evaluate the prognosis of patients with BC more accurately than existing models and to stratify patients for clinical therapy. In this study, The Cancer Genome Atlas-breast invasive carcinoma was used as the training cohort, and the Molecular Taxonomy of Breast Cancer International Consortium cohort was used as the validation cohort. Using bioinformatics methods, we constructed a GA-related gene risk score (GRS). The GRS was used to divide BC patients into a high-GRS group and a low-GRS group, and functional analysis, survival analysis, mutation analysis, immune landscape analysis, and metabolic analysis were performed to compare the 2 groups. Finally, a nomogram was constructed for clinical application. The genes in the GRS model were mainly related to the glucose metabolism pathway, and the main mutations in the 2 groups of patients were mutations in TP53 and CHD1. The mutation rate in the high-GRS group was greater than that in the low-GRS group. The high GRS group had higher tumor immune activity glycolysis; the pentose phosphate pathway tended to be the dominant metabolic pathways in this group, while fatty acid oxidation and glutamine catabolism tended to be dominant in the low-GRS group. GA-related genes were used to construct a prediction model for BC patients and had high accuracy in predicting prognosis. The mutations associated with the GRS are mainly TP53 and CDH1. Interestingly, the GRS is correlated with glucose metabolism in terms of gene expression and functional enrichment. In summary, the role of GRS-related genes in glucose metabolism is worthy of further study.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11332736 | PMC |
http://dx.doi.org/10.1097/MD.0000000000039177 | DOI Listing |
Clin Breast Cancer
December 2024
Department of Oncology, Princess Margaret Hospital, Kowloon West Cluster, Hospital Authority, Hong Kong S.A.R., China. Electronic address:
Cell Signal
January 2025
Department of Breast and Thyroid Surgery, The Qinghai Provincial People's Hospital, Xining 810007, China. Electronic address:
This study utilizes single-cell RNA sequencing data to reveal the transcriptomic characteristics of breast cancer and normal epithelial cells. Nine significant cell populations were identified through stringent quality control and batch effect correction. Further classification of breast cancer epithelial cells based on the PAM50 method and clinical subtypes highlighted significant heterogeneity between triple-negative breast cancer (TNBC) and non-triple-negative breast cancer (NTNBC).
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address:
In the past few years, three protein molecules-USP53, NPY2R, and DCTN1-AS1-have garnered significant attention in scientific research due to their potential implications in tumor development. Mass spectrometry and proteomics techniques were used to analyze the three-dimensional structure of these protein molecules and predict their active sites and functional domains. The effects of USP53, NPY2R and DCTN1-AS1 on biological behavior of tumor cells were studied by constructing gene knockout and overexpression cell models.
View Article and Find Full Text PDFJ Infect Public Health
January 2025
Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Department of Community and Family Medicine, School of Medicine, Iran University of Medical Sciences, Shahid Hemmat Highway, P.O Box: 14665-354, Tehran 1449614535, Iran.
Background: During the COVID-19 pandemic, hospitals were overwhelmed with infected patients, leading to a disruption in the delivery of services. Patients with cancer, including breast cancer, rely on timely treatment, as delays can reduce survival rates. In this study, we investigated delays in treatment and the factors contributing to delays in chemotherapy and radiotherapy for these patients.
View Article and Find Full Text PDFBiomaterials
January 2025
Center for AIE Research, Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, China; School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Guangdong, 518172, China. Electronic address:
Multimodal phototheranostics on the basis of single molecular species shows inexhaustible and vigorous vitality, particularly those emit fluorescence in the second near-infrared window (NIR-II), the construction of such exceptional molecules nonetheless retains formidably challenging. In view of the undiversified molecular skeletons and insufficient phototheranostic outputs of previously reported NIR-II fluorophores, herein, electron acceptor engineering based on heteroatom-inserted rigid-planar pyrazinoquinoxaline was manipulated to fabricate aggregation-induced emission (AIE)-featured NIR-II counterparts with donor-acceptor-donor (D-A-D) architecture. Systematical investigations substantiated that one of those synthesized AIE molecules, namely 4TPQ, incorporating a fused thiophene acceptor, synchronously exhibited high molar absorptivity (ε), NIR-II emission, typical AIE tendency, significant reactive oxygen species (ROS) generation, and high photothermal conversion efficiency.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!