Endocrine therapies are the primary systemic intervention for patients with estrogen receptor-positive (ER(+)) breast cancer. However, a significant proportion of initially responsive ER(+) tumors develop resistance, with relapses occurring in up to 50% of patients. Lack of reliable predictive biomarkers remains an unfilled need for enhanced clinical management of this disease. In this study, we address this need in identifying a novel estrogen-regulated gene called SHON (secreted hominoid-specific oncogene). Enforced expression of SHON in breast cancer cells increased their proliferation, survival, migration, and invasion in vitro. Furthermore, SHON enhanced the oncogenicity of these cells in xenograft models of human breast cancer and was also sufficient to oncogenically transform MCF10A human mammary epithelial cells. Conversely, SHON attenuation mediated by RNA interference- or antibody-based methods reduced the oncogenicity of breast cancer cells. Mechanistic investigations indicated that the oncogenic transforming properties of SHON were mediated by BCL-2 and NF-κB. In primary clinical specimens, SHON was immunohistochemically detected in 62% of breast cancers, in which its expression was positively correlated with ER expression. In this setting, SHON expression predicted a favorable response to endocrine therapy in high-risk patients with ER(+) breast cancer. Taken together, our findings identify SHON as a novel human oncogene with predictive utility in ER(+) breast cancer, perhaps offering a simple biomarker to predict the therapeutic efficacy of antiestrogen therapy in patients with breast cancer.
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http://dx.doi.org/10.1158/0008-5472.CAN-13-0982 | DOI Listing |
Biomed Phys Eng Express
January 2025
School of Engineering and Computing, University of the West of Scotland, University of the West of Scotland - Paisley Campus, Paisley PA1 2BE, UK, City, Paisley, PA1 2BE, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Cancer grade classification is a challenging task identified from the cell structure of healthy and abnormal tissues. The partitioner learns about the malignant cell through the grading and plans the treatment strategy accordingly. A major portion of researchers used DL models for grade classification.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
New College of Florida, Sarasota, FL, United States.
Background: Bangladesh and West Bengal, India, are 2 densely populated South Asian neighboring regions with many socioeconomic and cultural similarities. In dealing with breast cancer (BC)-related issues, statistics show that people from these regions are having similar problems and fates. According to the Global Cancer Statistics 2020 and 2012 reports, for BC (particularly female BC), the age-standardized incidence rate is approximately 22 to 25 per 100,000 people, and the age-standardized mortality rate is approximately 11 to 13 per 100,000 for these areas.
View Article and Find Full Text PDFInt J Radiat Biol
January 2025
Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
Purpose: Breast cancer ranks as the most prevalent cancer in women, characterized by heightened fatty acid synthesis and glycolytic activity. Fatty acid synthase (FASN) is prominently expressed in breast cancer cells, regulating fatty acid synthesis, thereby enhancing tumor growth and migration, and leading to radioresistance. This study aims to investigate how FASN inhibition affects cell proliferation, migration, and radioresistance in breast cancer, as well as the mechanisms involved.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Triple negative breast cancers often contain higher numbers of tumour-infiltrating lymphocytes compared with other breast cancer subtypes, with their number correlating with prolonged survival. Since little is known about tumour-infiltrating lymphocyte trafficking in triple negative breast cancers, we investigated the relationship between tumour-infiltrating lymphocytes and the vascular compartment to better understand the immune tumour microenvironment in this aggressive cancer type. We aimed to identify mechanisms and signaling pathways responsible for immune cell trafficking in triple negative breast cancers, specifically of basal type, that could potentially be manipulated to change such tumours from immune "cold" to "hot" thereby increasing the likelihood of successful immunotherapy in this challenging patient population.
View Article and Find Full Text PDFPLoS One
January 2025
Biology Department, Faculty of Science, Islamic University of Madinah, Madinah, Saudi Arabia.
This study presents a novel approach to modeling breast cancer dynamics, one of the most significant health threats to women worldwide. Utilizing a piecewise mathematical framework, we incorporate both deterministic and stochastic elements of cancer progression. The model is divided into three distinct phases: (1) initial growth, characterized by a constant-order Caputo proportional operator (CPC), (2) intermediate growth, modeled by a variable-order CPC, and (3) advanced stages, capturing stochastic fluctuations in cancer cell populations using a stochastic operator.
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