Objective The average 5-year survival rate of breast cancer (BC) patients has been significantly prolonged with new therapeutic methods. However, their effects on BC patient long-term survival rates are unclear. Therefore, this study aimed to analyze the specific clinical factors that can affect BC long-term survival. Methods Here, we conducted a retrospective study and analyzed long-term survival using data of 3,240 BC patients from 1977 to 2005 from the Genotype-Tissue Expression (GTEx) database using the Kaplan–Meier method. Results Breast tumor size and stage were negatively correlated with long-term survival, but age showed no significant correlation. Estrogen receptor (ER) and progesterone receptor (PR) expression were each positively correlated with patient survival time, while ERBB2 receptor (HER2) expression was negatively correlated with survival time. Patients with high Nottingham prognostic index (NPI) values did not benefit from available therapies. Furthermore, breast-conserving surgery is more conducive to BC patient long-term survival than mastectomy. Conclusions Early detection and breast-conserving surgery may support long-term survival for BC patients. Elevated expression of ER and PR were both associated with longer patient survival time, while positive expression of HER2 showed the opposite trend. The long-term survival rates of patients with high NPI values can potentially be increased.
Deaths of non-cardiac causes in patients with heart failure (HF) are on the rise, including lung cancer (LC). However, the common mechanisms behind the two diseases need to be further explored. This study aimed to improve understanding on the co-occurrence of LC and HF. In this study, gene expression profiles of HF (GSE57338) and LC (GSE151101) were comprehensively analyzed using the Gene Expression Omnibus database. Functional annotation, protein–protein interaction network, hub gene identification, and co-expression analysis were proceeded when the co-differentially expressed genes in HF and LC were identified. Among 44 common differentially expressed genes, 17 hub genes were identified to be associated with the co-occurrence of LC and HF; the hub genes were verified in 2 other data sets. Nine genes, including ALOX5, FPR1, ADAMTS15, ALOX5AP, ANPEP, SULF1, C1orf162, VSIG4, and LYVE1 were selected after screening. Functional analysis was performed with particular emphasis on extracellular matrix organization and regulation of leukocyte activation. Our findings suggest that disorders of the immune system could cause the co-occurrence of HF and LC. They also suggest that abnormal activation of extracellular matrix organization, inflammatory response, and other immune signaling pathways are essential in disorders of the immune system. The validated genes provide new perspectives on the common underlying pathophysiology of HF and LC, and may aid further investigation in this field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.