Nuclear receptor NR1H3 is a key regulator of macrophage function and lipid homeostasis. Here, we aimed to visualize the prognostic value and immunological characterization of NR1H3 in breast cancer. The expression pattern and prognostic value of NR1H3 were analyzed via multiple databases, including TIMER2, GEPIA2 and Kaplan-Meier Plotter. TISIDB, TIMER2 and immunohistochemical analysis were used to investigate the correlation between NR1H3 expression and immune infiltration. GO enrichment analysis, KEGG analysis, Reactome analysis, ConsensusPathDB and GeneMANIA were used to visualize the functional enrichment of NR1H3 and signaling pathways related to NR1H3. We demonstrated that the expression of NR1H3 was significantly lower in breast cancer compared with adjacent normal tissues. Kaplan-Meier survival curves showed shorter overall survival in basal breast cancer patients with low NR1H3 expression, and poorer prognosis of relapse-free survival in breast cancer patients with low NR1H3 expression. NR1H3 was mainly expressed in immune cells, and its expression was closely related with infiltrating levels of tumor-infiltrating immune cells in breast cancer. Additionally, univariate and multivariate analysis indicated that the expression of NR1H3 and the level of macrophage infiltration were independent prognostic factors for breast cancer. Gene interaction network analysis showed the function of NR1H3 involved in regulating of innate immune response and macrophage activation. Moreover, NR1H3 may function as a predictor of chemoresponsiveness in breast cancer. These findings suggest that NR1H3 serves as a prognostic biomarker and contributes to the regulation of macrophage activation in breast cancer.
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http://dx.doi.org/10.3389/fgene.2022.1067826 | DOI Listing |
Arch Pathol Lab Med
January 2025
From the Divisions of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas (Gan, Y Ding, Wu, Zhang, Meng, QQ Ding, Han).
Objective.—: To report the isolation and significance of C kroppenstedtii, features of patients with GLM, pathologic findings and mechanism, bacteriologic workup, and optimal treatment.
Design.
Med J Aust
January 2025
Sydney School of Public Health, the University of Sydney, Sydney, NSW.
Objectives: To assess the impact of the transition from film to digital mammography in the Australian national breast cancer screening program.
Study Design: Retrospective linked population health data analysis (New South Wales Central Cancer Registry, BreastScreen NSW); interrupted time series analysis.
Setting: New South Wales, 2002-2016.
Ann Surg Oncol
January 2025
Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Nearly 25% of opioid-related deaths are from prescribed opioids, and the exacerbation of the opioid epidemic by the coronavirus disease 2019 (COVID-19) pandemic underscores the urgent need to address superfluous prescribing. Therefore, we sought to align local opioid prescribing practices with national guidelines in postoperative non-metastatic breast cancer patients.
Methods: A single-institution analysis included non-metastatic breast surgery patients treated between April 2020 and July 2021.
Ann Surg Oncol
January 2025
Department of Plastic and Reconstructive Surgery, The Ohio State University, Columbus, OH, USA.
Breast Cancer Res
January 2025
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
Recent evidence indicates that endocrine resistance in estrogen receptor-positive (ER+) breast cancer is closely correlated with phenotypic characteristics of epithelial-to-mesenchymal transition (EMT). Nonetheless, identifying tumor tissues with a mesenchymal phenotype remains challenging in clinical practice. In this study, we validated the correlation between EMT status and resistance to endocrine therapy in ER+ breast cancer from a transcriptomic perspective.
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