Triple-negative breast cancer (TNBC) represents a highly aggressive form of breast cancer with limited treatment options. Proinflammatory cytokines such as TNFα can facilitate tumor progression and metastasis. However, the mechanistic aspects of inflammation mediated TNBC progression remain unclear. Using ChIP-seq, we demonstrate that the cistrome for the AP-1 transcription factor c-Jun is comprised of 13,800 binding regions in TNFα-stimulated TNBC cells. In addition, we show that c-Jun regulates nearly a third of the TNFα-regulated transcriptome. Interestingly, high expression level of the c-Jun-regulated pro-invasion gene program is associated with poor clinical outcome in TNBCs. We further demonstrate that c-Jun drives TNFα-mediated increase of malignant characteristics of TNBC cells by transcriptional regulation of Ninj1. As exemplified by the CXC chemokine genes clustered on chromosome 4, we demonstrate that NF-κB might be a pioneer factor required for the regulation of TNFα-inducible inflammatory genes, whereas c-Jun has little effect. Together, our results uncover AP-1 as an important determinant for inflammation-induced cancer progression, rather than inflammatory response.
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http://dx.doi.org/10.1074/jbc.M115.702571 | DOI Listing |
Breast Cancer Res
January 2025
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Background: CDK4/6 inhibitors have significantly improved the survival of patients with HR-positive/HER2-negative breast cancer, becoming a first-line treatment option. However, the development of resistance to these inhibitors is inevitable. To address this challenge, novel strategies are required to overcome resistance, necessitating a deeper understanding of its mechanisms.
View Article and Find Full Text PDFBMC Cancer
January 2025
Faculty of Medicine, University of Cologne and Institute for Health Economics and Clinical Epidemiology, University Hospital Cologne, Cologne, Germany.
Background: Patients who actively engage in their medical decision-making processes can experience better health outcomes. This exploratory study aimed to identify predictors of preferred and actual roles in decision-making in healthy women with BRCA1/2 pathogenic variants (PVs).
Methods: Women with BRCA1/2 PVs without a history of breast and/or ovarian cancer were recruited in six centres across Germany.
Radiol Med
January 2025
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Purpose: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Material And Methods: Primary tumor and the most significant lymph node metastasis were manually segmented in baseline [F]FDG PET/CT of 52 newly diagnosed BC patients. Clinical parameters, NAC and conventional semiquantitative PET parameters were collected.
Ann Surg Oncol
January 2025
Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Atypical ductal hyperplasia (ADH) is a benign proliferative breast lesion. Surgical excision of ADH is often recommended to rule out underlying malignant disease.
Objective: The aim of this study was to evaluate the trends in ADH upgrade rates over time and identify the impact of magnetic resonance imaging (MRI) use on upgrade rates.
Curr Oncol Rep
January 2025
Melbourne School of Health Sciences, The University of Melbourne, The Royal Women's Hospital, Melbourne; Mercy Hospital for Women, Melbourne, VIC, Australia.
Purpose Of Review: Breast malignancy is the most common cancer in females. Symptoms of pelvic floor disorders and sexual dysfunction secondary to systemic cancer treatment may occur. Non-surgical, non-pharmaceutical conservative therapies, namely pelvic floor muscle (PFM) and education-based therapies, could be beneficial to reduce these symptoms in this population.
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