Dysregulated miRNA Expression and Androgen Receptor Loss in Racially Distinct Triple-Negative Breast Cancer.

Androgen receptor (AR)-negative triple-negative breast cancer (TNBC), often termed quadruple-negative breast cancer (QNBC), disproportionately impacts women of African descent, leading to poorer overall survival (OS). MiRNAs regulate the expression of gene drivers involved in critical signaling pathways in TNBC, such as the gene, and their expression varies across races and breast cancer subtypes. This study investigates whether differentially expressed miRNAs influence AR transcription, potentially contributing to the observed disparities between African American (AA) and European American (EA) QNBC patients.

Association of neighborhood social vulnerability with ovarian cancer survival.

Objective: Social determinants of health (SDOH) impact cancer outcomes. The CDC Social Vulnerability Index (SVI) integrates scores for four neighborhood-based SDOH domains (socioeconomic status, household characteristics, minority status, and housing type/transportation) to assess neighborhood social vulnerability (NSV). While NSV has been associated with overall cancer mortality and lung, breast, colon, and endometrial cancer-specific mortality, the relationship between NSV as defined by the SVI and ovarian cancer outcomes remains unknown.

Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer.

Background: Ki67 index (KI) and mitotic index (MI) are proliferation markers with established prognostic value in breast carcinomas. While KI is evaluated immunohistochemically and reported as a percentage, MI is determined visually and reflects total mitotic cells in 10 high-power fields. Our objective was to integrate KI and MI into a novel metric; the cell cycle traverse rate (CCTR).

Dynamic role of medium- and high-tech industries and environmental policy stringency in environmental sustainability: fresh insights from Dynamic Seemingly Unrelated Regression (DSUR) analysis.

Since the last two decades, carbon neutrality has become a primary target of all economies. Governmental environmental policies stand as the most potent tools in the arsenal when it comes to tempering the effects of climate change. Fostering the adoption of green energy sources and embracing energy efficiency principles may assume an essential role in upholding the standard of ecological integrity.

MammOnc-DB, an integrative breast cancer data analysis platform for target discovery.

Breast cancer (BCa) is one of the most common malignancies among women worldwide. It is a complex disease that is characterized by morphological and molecular heterogeneity. In the early stages of the disease, most BCa cases are treatable, particularly hormone receptor-positive and HER2-positive tumors.