Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Macroautophagy/autophagy is an evolutionarily conserved cellular stress response mechanism. Autophagy induction in the tumor microenvironment (stroma) has been shown to support tumor metabolism. However, cancer cell-derived secreted factors that initiate communication with surrounding cells and stimulate autophagy in the tumor microenvironment are not fully documented. We identified CTF1/CT-1 (cardiotrophin 1) as an activator of autophagy in fibroblasts and breast cancer-derived carcinoma-associated fibroblasts (CAFs). We showed that CTF1 stimulated phosphorylation and nuclear translocation of STAT3, initiating transcriptional activation of key autophagy proteins. Additionally, following CTF1 treatment, AMPK and ULK1 activation was observed. We provided evidence that autophagy was important for CTF1-dependent ACTA2/α-SMA accumulation, stress fiber formation and fibroblast activation. Moreover, promotion of breast cancer cell migration and invasion by activated fibroblasts depended on CTF1 and autophagy. Analysis of the expression levels of CTF1 in patient-derived breast cancer samples led us to establish a correlation between CTF1 expression and autophagy in the tumor stroma. In line with our data on cancer migration and invasion, higher levels of CTF1 expression in breast tumors was significantly associated with lymph node metastasis in patients. Therefore, CTF1 is an important mediator of tumor-stroma interactions, fibroblast activation and cancer metastasis, and autophagy plays a key role in all these cancer-related events. ACTA2/α-SMA: actin, alpha 2, smooth muscle CAFs: cancer- or carcinoma-associated fibroblasts CNT Ab.: control antibody CNTF: ciliary neurotrophic factor CTF1: cardiotrophin 1 CTF1 Neut. Ab.: CTF1-specific neutralizing antibody GFP-LC3 MEF: GFP-fused to MAP1LC3 protein transgenic MEF LIF: leukemia inhibitory factor IL6: interleukin 6 MEFs: mouse embryonic fibroblasts MEF-WT: wild-type MEFs OSM: oncostatin M TGFB/TGFβ: transforming growth factor beta.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809961PMC
http://dx.doi.org/10.1080/15548627.2022.2090693DOI Listing

Publication Analysis

Top Keywords

breast cancer
12
migration invasion
12
ctf1
9
ctf1 cardiotrophin
8
cancer cell
8
cell migration
8
autophagy
8
tumor microenvironment
8
autophagy tumor
8
carcinoma-associated fibroblasts
8

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