Prognosis and metabolism with a Golgi apparatus-related genes-based formula in breast cancer

Medicine, Journal Year: 2024, Volume and Issue: 103(33), P. e39177 - e39177

Published: Aug. 16, 2024

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, innate immune response, tumor invasion migration. We aimed to construct a breast cancer (BC) prognosis prediction model based on GA-related genetic information evaluate of patients BC more accurately than existing models stratify for clinical therapy. In this study, Cancer Genome Atlas-breast invasive carcinoma was used training cohort, Molecular Taxonomy Breast International Consortium cohort validation cohort. Using bioinformatics methods, we constructed gene risk score (GRS). GRS divide into high-GRS group low-GRS group, functional analysis, survival mutation landscape metabolic analysis were performed compare 2 groups. Finally, nomogram application. genes mainly related glucose metabolism pathway, main mutations groups TP53 CHD1. rate greater group. high had higher activity glycolysis; pentose phosphate pathway tended be dominant pathways while fatty acid oxidation glutamine catabolism accuracy predicting prognosis. are CDH1. Interestingly, correlated terms expression enrichment. summary, role GRS-related worthy further study.

Language: Английский

Molecular Subtype Identification and Prognosis Stratification Based on Golgi Apparatus-Related Genes in Head and Neck Squamous Cell Carcinoma

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 27, 2023

Abstract Background : Abnormal dynamics of the Golgi apparatus reshape tumor microenvironment and immune landscape, playing a crucial role in prognosis treatment response cancer. This study aims to investigate potential apparatus-related genes (GARGs) heterogeneity head neck squamous cell carcinoma (HNSCC). Methods The transcriptional data corresponding clinical information HNSCC were obtained from public databases. GARGs with differential expression identified, those associated identified through univariate Cox regression analysis. Consensus clustering was used classify into molecular subtypes. Lasso analysis screen construct prognostic risk features for HNSCC, receiver operating characteristic curves evaluate performance model. Differences infiltration, pathological characteristics, compared between different subtypes groups. Results: A total 321 that differentially expressed out which 69 HNSCC. Based on these genes, two showed significant differences prognosis. Additionally, feature consisting 28 constructed assessing could divide high-risk low-risk groups prognosis, ROC curve indicated excellent evaluation performance. related survival outcome, grade, T stage, chemotherapy, other features. Immune response-related pathways significantly activated group better There chemotherapy drug sensitivity therapy groups, being more suitable receiving immunotherapy. Riskscore, N radiotherapy independent factors nomogram, had good applicability. Conclusions: We have are derived GARGs. GARGs-derived risgnature also developed, can be combination assessment

Language: Английский