Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Chemoresistance to standard neoadjuvant treatment commonly occurs in locally advanced breast cancer, particularly in the luminal subtype, which is hormone receptor-positive and represents the most common subtype of breast cancer associated with the worst outcomes. Identifying the genes associated with chemoresistance is crucial for understanding the underlying mechanisms and discovering effective treatments. In this study, we aimed to identify genes linked to neoadjuvant chemotherapy resistance in 62 retrospectively included patients with luminal breast cancer. Whole RNA sequencing of 12 patient biopsies revealed 269 differentially expressed genes in chemoresistant patients. We further validated eight highly correlated genes associated with resistance. Among these, solute carrier family 12 member 1 () and glutamate ionotropic AMPA type subunit 4 (), both implicated in ion transport, showed the strongest association with chemoresistance. Notably, expression was downregulated, while protein levels of glutamate receptor 4 (GLUR4), encoded by , were elevated in patients with a worse prognosis. Our results suggest a potential link between gene expression and GLUR4 protein levels with chemoresistance in luminal breast cancer. In particular, GLUR4 protein could serve as a potential target for drug intervention to overcome chemoresistance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670992PMC
http://dx.doi.org/10.3390/ijms242216104DOI Listing

Publication Analysis

Top Keywords

breast cancer
20
chemoresistance luminal
8
locally advanced
8
advanced breast
8
genes associated
8
luminal breast
8
protein levels
8
glur4 protein
8
chemoresistance
6
breast
5

Similar Publications

Berberine (BBR) is an isoquinoline alkaloid with a variety of biological activities, including anti-microbial and anti-tumoral activities. However, the cellular targets of BBR and the roles of BBR in the radiosensitivity of breast cancer cells are not well defined. In this study, we investigated the effects of BBR on the radiosensitivity of BT549 triple-negative breast cancer cells.

View Article and Find Full Text PDF

Mendelian Randomization Study: The Impact of Gut Microbiota on Survival in HR+ Breast Cancer Patients Under Different Treatment Regimens Through the Modulation of Immune Cell Phenotypes.

Clin Breast Cancer

August 2025

Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, School of Pharmacy, Fujian Medical University, Fuzhou, China. Electronic address:

Background: Emerging evidence suggests that the gut microbiota (GM) may influence the progression of breast cancer by modulating immune responses. Given the vast diversity of GM and immune cell phenotypes, this study aimed to utilize the most advanced and comprehensive data to explore the causal relationships among the GM, immune cell phenotypes, and survival rates in hormone receptor-positive (HR+) breast cancer patients under different treatment regimens.

Methods: We investigated the causal relationships between the GM, immune cell phenotypes, and survival rates in HR+ breast cancer patients treated with 11 distinct therapeutic strategies using Mendelian randomization.

View Article and Find Full Text PDF

[Development of an AI-based Positioning Technical Assistance System for Mammography].

Nihon Hoshasen Gijutsu Gakkai Zasshi

September 2025

Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science.

Purpose: We aimed to develop an AI-based system to score the positioning in mammography (MG), with the goal of establishing a foundation for future technical support.

Methods: Using 800 mediolateral oblique (MLO) images, we developed an AI model (Mask Generation Model) for automatic extraction of three regions: the pectoralis major muscle, the mammary gland region, and the nipple. Using this model, we extracted three regions from 1544 MLO images and generated mask images.

View Article and Find Full Text PDF

Background: Breast-conserving surgery (BCS) is the primary surgical approach for patients with breast cancer. The accurate determination of surgical margins during BCS is critical for patient prognosis; however, time constraints and limitations in current pathological techniques often prevent pathologists from performing this assessment intraoperatively. The inability to reliably assess margins during surgery can lead to incomplete tumor removal and the need for additional surgeries.

View Article and Find Full Text PDF