This study aimed to determine the prognostic value and microenvironmental crosstalk of exosome-related signatures in human epidermal growth factor receptor 2 positive breast cancer (HER2 BC). Transcriptome sequencing and clinicopathological data were downloaded from the Cancer Genome Atlas. The 10X single cell sequencing dataset was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus. Exosomes-Related Genes were extracted from the ExoCarta and Gene Set Enrichment Analysis databases. FGF9, SF3B4, and EPCAM were found and deemed the most accurate predictive signatures. Patients with HER2 BC were subtyped into three groupings by exosome prognostic gene (EPGs). The expression of SF3B4 was positively linked with the infiltration of macrophages, neutrophils, and CD4 T cells. The expression characteristics of EPGs were associated with the biological process of "response to xenobiotic stimuli." Interactions were relatively high between malignant epithelial cells and fibroblasts, endothelial cells, monocytes, and macrophages. Malignant epithelial cells interact more with fibroblasts and endothelial cells. The migration inhibitory factor pathway was the primary outgoing signaling pattern, while the C-C motif chemokine ligand pathway was the primary incoming signaling pattern for communication between malignant epithelial cells and macrophages. This study described the role of exosome signatures in the prognosis and microenvironment of HER2 BC and provided a basis for future research.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11282918PMC
http://dx.doi.org/10.1515/biol-2022-0899DOI Listing

Publication Analysis

Top Keywords

malignant epithelial
12
epithelial cells
12
prognostic microenvironmental
8
microenvironmental crosstalk
8
crosstalk exosome-related
8
exosome-related signatures
8
signatures human
8
human epidermal
8
epidermal growth
8
growth factor
8

Similar Publications

Pancreatic cancer is an aggressive tumor, which is often associated with a poor clinical prognosis and resistance to conventional chemotherapy. Therefore, there is a need to identify new therapeutic markers for pancreatic cancer. Although KIN17 is a highly expressed DNA‑ and RNA‑binding protein in a number of types of human cancer, its role in pancreatic cancer development, especially in relation to progression, is currently unknown.

View Article and Find Full Text PDF

Background: Ovarian tumors are the most prevalent neoplasms worldwide, affecting women of all ages. According to Globocan's 2022 projections, by 2050, the number of women diagnosed with ovarian cancer worldwide will increase by over 55% to 503,448. The number of women dying from ovarian cancer is projected to increase to 350,956 each year, an increase of almost 70% from 2022.

View Article and Find Full Text PDF

Background: The most common malignant type of kidney cancer is clear cell renal cell carcinoma (ccRCC). The expression levels of hyaluronan-mediated motility receptor (HMMR) in many tumor types are significantly elevated. HMMR is closely associated with tumor-related progression, treatment resistance, and poor prognosis, and has yet to be fully investigated in terms of its expression patterns and molecular mechanisms of action in ccRCC.

View Article and Find Full Text PDF

Background: Bone marrow mesenchymal stem cells (BMSCs) are a crucial component of the tumor microenvironment (TME), with hypoxic conditions promoting their migration to tumors. Exosomes play a vital role in cell-to-cell communication within the TME. Hypoxic TME have a great impact on the release, uptake and biofunctions of exosomes.

View Article and Find Full Text PDF

Prostate cancer (PCa) is one of the most common cancers in men worldwide. Autophagy-related genes (ARGs) may play an important role in various biological processes of PCa. The aim of this study was to identify and evaluate autophagy-related features to predict clinical outcomes in patients with PCa.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!