Background: The plasminogen urokinase activation system consists of urokinase plasminogen activator (uPA), its receptor uPAR, and plasminogen activator inhibitor type 1 (PAI-1), which are considered to have a relationship with cancer aggressiveness. Several studies have found correlations between HER2 mRNA and uPAR in disseminated tumor cells (DTCs) in breast cancer patients. They are associated with a more aggressive primary tumor phenotype and recurrence/metastasis.
Objective: This study aims to determine the relationship between the expression of urokinase-type plasminogen activator receptor (uPAR) and human epidermal growth factor receptor type 2 (HER2) with the incidence of distant metastases in breast cancer.
Methods: This study was an observational study using a cross-sectional method and was conducted at Wahidin Sudirohusodo Hospital and the network. Immunohistochemical methods carry out examination of uPAR and HER2 expression from tissues of breast cancer patients. The relationship of uPAR, HER2 expression, and metastasis was tested with the Mann Whitney test.
Results: The study results found that the proportion of patients with metastasis was significantly higher in high uPAR expression compared to low uPAR (77.8% compared to 36.8%). The negative HER2 expression was significantly higher in the low uPAR expression than the high uPAR (78.9% compared to 33.3%). In comparison, the positive HER2 expression was significantly higher in the high uPAR expression than the low uPAR (66.7% compared to 21.1%). In positive HER2 expression, the mean percentage of uPAR expression was significantly higher in metastases than those without metastasis (72.7% compared to 42.1%).
Conclusions: uPAR expression is associated with metastasis in HER2 positive breast cancer.
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http://dx.doi.org/10.3233/BD-219001 | DOI Listing |
Asia Ocean J Nucl Med Biol
January 2025
Nuclear Medicine Unit, National Cancer Institute (NCI), Cairo University, Cairo, Egypt.
Objectives: to investigate the capability of F-fluorodeoxyglucose positron emission tomography/computed tomography ([F]-FDG PET/CT) derived volumetric parameters to predict human epidermal growth factor receptor 2 (HER2) status in breast cancer patients.
Methods: retrospective study enrolled 47 female patients with breast cancer. All patients had pretreatment [F]-FDG PET/CT.
Front Oncol
December 2024
Department of Chemistry, Faculty of Science, University of Colombo, Colombo, Sri Lanka.
Triple-negative breast cancer (TNBC) is a highly aggressive and clinically challenging subtype of breast cancer, lacking the expression of estrogen receptor (ER), progesterone receptor (PR), and HER2/neu. The absence of these receptors limits therapeutic options necessitating the exploration of novel treatment strategies. Epigenetic modifications, which include DNA methylation, histone modifications, and microRNA (miRNA) regulation, play a pivotal role in TNBC pathogenesis and represent promising therapeutic targets.
View Article and Find Full Text PDFBreast J
January 2025
Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, Medical University of South Carolina, 70 President St., Charleston, SC 29425, USA.
Purpose: Breast cancer is a heterogeneous disease. Exploring new prognostic and therapeutic targets in patients with breast cancer is essential. This study investigated the expression of MET, ESR1, and ESR2 genes and their association with clinicopathologic characteristics and clinical outcomes in patients with breast cancer.
View Article and Find Full Text PDFIn Vivo
December 2024
Gyula Petrányi Doctoral School of Clinical Immunology and Allergology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Background/aim: Angiogenesis imaging has been a valuable complement to metabolic imaging with 2-deoxy-2-[F]fluoroglucose (FDG). In our longitudinal study, we investigated the tumour heterogeneity and the relationship between FDG and [Ga]Ga-NODAGA-c(RGDfK) (RGD) accumulation in breast cancer xenografts.
Materials And Methods: Two groups of cell lines, a fast-growing (4T1) and a slow-growing cell line (MDA-MB-HER2+), were inoculated into SCID mice.
Cancer Res Commun
December 2024
Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.
Intratumor heterogeneity (ITH) presents challenges for precision oncology, but methods for its spatial quantification, scalable at population levels, do not exist. Based on previous work showing that admixture of PAM50 subtype can be measured from bulk tissue using transcriptomic data, we trained a deep neural network (DNN) to quantify subtype ITH in Luminal A (LumA) breast cancer from routinely-stained whole slide images. We tested the hypothesis that subtype admixture detected in images was associated with tumor aggressiveness and adverse outcome.
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