Background: Increasing evidence has highlighted the role of ubiquitin-like PHD and RING finger domain-containing protein 1 (UHRF1) in the development of cancers, including hepatocellular carcinoma, pancreatic cancer, and bladder cancer. However, the correlation between UHRF1 and breast cancer remains unclear. The present study aimed to analyze the expression of UHRF1 and its role in the development of invasive ductal breast cancer (IDC) by integrating multilevel expression data and immunohistochemistry analysis.
Methods: The Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were used to gather UHRF1 expression data on IDC. Additionally, immunohistochemistry analysis was used to investigate the correlations between UHRF1 expression and the clinical characteristics of IDC.
Results: The GEO and TCGA databases indicated that UHRF1 was up-regulated in IDC. Consistently, the immunohistochemical specimens showed that the significant overexpression of UHRF1 in IDC, and its expression level showed an increasing trend from ductal carcinomas to IDC. Notably, the increased levels of UHRF1 were closely correlated with estrogen receptor expression, pathological grade, and the prognosis of the disease. In addition, patients with a high UHRF1 expression had a poorer prognosis.
Conclusions: In conclusion, our findings suggested that UHRF1 plays a promoting role in breast tumorigenesis, and the over-expression of UHRF1 could serve as a biomarker for the prognosis in invasive ductal carcinomas in breast cancer.
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http://dx.doi.org/10.21037/tcr.2019.06.19 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
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