Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Recent evidence indicates that a dysregulated host metabolism influences treatment outcomes in patients with breast cancer. We investigated the association of computed tomography (CT)-derived body composition indices with therapeutic responses in patients with hormone receptor-positive, HER2-negative advanced breast cancer (ABC) on endocrine plus CDK4/6 inhibitor (CDK4/6i) treatment.

Methods: The study involved a retrospective cohort of patients with ABC at the Yonsei Cancer Center who received CDK4/6i and aromatase inhibitors as first-line therapy between January 2017 and October 2020. Body composition parameters were estimated from the non-enhanced CT images of the third lumbar spine by commercialized deep learning software. Patients with low skeletal muscle radiodensity (SMD) were defined as patients with SMD of low tertile (≤ 28.7 Hounsfield Units). The primary outcome was progression-free survival (PFS).

Results: Among the 247 female participants (median age, 53 years; mean body mass index [BMI], 23.7 kg/m), 45.7% had disease progression or death during a median follow-up of 36.4 months. After adjusting for age and visceral metastasis, SMD was the only independent predictor among body composition parameters for worse PFS (adjusted hazard ratio [HR] = 1.20 per standard deviation decrement, 95% CI: 1.01-1.42, p = 0.041), whereas BMI, muscle area, and fat area were not. Participants with low SMD had a higher risk of progression than those without (PFS, 27.2 vs. 51.1 months, p = 0.009; adjusted HR 1.84, 95% CI: 1.22-2.76, p = 0.003). Strong associations between low SMD and poor PFS were observed in groups with pre-menopause status (HR, 3.04 vs. 1.19 in post-menopause; 95% CI: 1.54-5.99, p for interaction < 0.05) and without visceral metastases (HR, 2.95 vs. 1.19 in with visceral metastases; 95% CI: 1.59-5.49, p for interaction < 0.05).

Conclusions: CT-defined low SMD predicts poor treatment outcomes in patients with ABC undergoing first-line treatment with aromatase inhibitors and CDK4/6i.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670169PMC
http://dx.doi.org/10.1002/jcsm.13666DOI Listing

Publication Analysis

Top Keywords

breast cancer
12
body composition
12
low skeletal
8
skeletal muscle
8
muscle radiodensity
8
aromatase inhibitors
8
advanced breast
8
composition parameters
8
low smd
8
low
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