Purpose: The objective of this study was to evaluate breast carcinomas for the expression of cyclooxygenase-2 (Cox-2) using a tissue microarray (TMA) and to determine its clinical and prognostic relevance.
Methods: We analyzed Cox-2 expression in 600 samples from 200 breast carcinomas immunohistochemically performing TMA technology and semiquantitative analysis. Results were correlated with various clinicopathological variables and follow-up data. Expression of estrogen receptor, progesterone receptor, Ki-67, and Her-2/neu-oncogene was analyzed and correlated with Cox-2 status.
Results: We observed a moderate or strong cytoplasmic staining for Cox-2 in 78 (40.6%) of breast carcinomas. Increased Cox-2 expression corresponded to higher pT stage ( P=0.038), amplification of Her-2/neu ( P=0.032), lymphovascular invasion ( P=0.006), a high MIB-1 labeling index (LI) ( P<0.001), and histological grading ( P=0.013). We also observed an inverse relationship between strong Cox-2 expression and estrogen and progesterone receptor content of tumors ( P=0.037 and P=0.010). However, we could not demonstrate a significant association between Cox-2 staining and overall survival or disease free survival time.
Conclusions: These results suggest that Cox-2 expression is significantly associated with less differentiated and more aggressive breast carcinomas and might therefore be a useful prognostic indicator as well as a target for therapy.
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http://dx.doi.org/10.1007/s00432-003-0459-1 | DOI Listing |
Front Med (Lausanne)
December 2024
Department of Ultrasound, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Contrast-enhanced ultrasound (CEUS) shows potential for the differential diagnosis of breast lesions in general, but its effectiveness remains unclear for the differential diagnosis of lesions highly suspicious for breast cancers.
Objective: This study aimed to evaluate the diagnostic value of CEUS in differentiating pathological subtypes of suspicious breast lesions defined as category 4 of US-BI-RADS.
Methods: The dataset of 150 breast lesions was prospectively collected from 150 patients who underwent routine ultrasound and CEUS examination and were highly suspected of having breast cancers.
J Intern Med
January 2025
Department of Oncology, Aarhus University Hospital/Aarhus University, Aarhus, Denmark.
Background: This systematic review and meta-analysis assesses the association between metabolic syndrome and breast cancer (BC) outcomes in BC survivors.
Methods: Systematic searches were carried out in PubMed and Embase using variations of the search terms: breast neoplasms (population), metabolic syndrome (exposure), and survival (outcome). Metabolic syndrome was characterized according to the American Heart Association, which includes the presence of three out of five abnormal findings among the risk factors: high blood pressure, high triglycerides, low high-density lipoprotein, high fasting glucose, and central obesity.
PLoS One
January 2025
Michael Sayegh Faculty of Pharmacy, Aqaba University of Technology, Aqaba, Jordan.
Breast cancer remains a significant challenge in oncology, highlighting the need for alternative therapeutic strategies that target necroptosis to overcome resistance to conventional therapies. Recent investigations into natural compounds have identified 8,12-dimethoxysanguinarine (SG-A) from Eomecon chionantha as a potential necroptosis inducer. This study presents the first computational exploration of SG-A interactions with key necroptotic proteins-RIPK1, RIPK3, and MLKL-through molecular docking, molecular dynamics (MD), density functional theory (DFT), and molecular electrostatic potential (MEP) analyses.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.
Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A high value clinical application is the grading of Lymph Node Metastasis (LNM) which is used for breast cancer staging and guides treatment decisions. A challenge of implementing AI tools widely for LNM classification is domain shift, where Out-of-Distribution (OOD) data has a different distribution than the In-Distribution (ID) data used to train the model, resulting in a drop in performance in OOD data.
View Article and Find Full Text PDFActa Oncol
January 2025
Cancer Survivorship, Danish Cancer Institute, Copenhagen, Denmark; Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Denmark; Institute of Clinical Medicine, Faculty of Health, Copenhagen University, Copenhagen, Denmark.
Background And Purpose: We previously demonstrated positive effects on quality of life and mental health following breast cancer when comparing a nurse-led follow-up program without scheduled visits (MyHealth) to regular follow-up. This study aims to examine whether MyHealth also positively impacts self-reported work ability.
Patients/material And Methods: A total of 288 patients, potentially active on the labour market, were randomized to MyHealth or control follow-up after primary treatment for early-stage breast cancer (2017-2019).
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