Breast Carcinoma: this chapter outlines the incidence, risk factors, clinical presentation, investigations, treatments and prognosis of cancer at this anatomical site. These features are correlated with the core data that are required to make corresponding histopathology reports of a consistently high ...
Breast Carcinoma: this chapter outlines the incidence, risk factors, clinical presentation, investigations, treatments and prognosis of cancer at this anatomical site. These features are correlated with the core data that are required to make the corresponding histopathology reports of a consistently high...
Molecular subtypes of breast cancer reflect the intertumoral heterogeneity of the disease and are also known to be characterized by distinct tumor ecosystems11. Therefore, we investigated whether ecosystem diversity of breast cancer subtypes differed in terms of the contribution of epithelial or TME cell...
Section 2 outlines how to classify breast cancer from a medical perspective. Algorithms and methodologies generally utilized in ML studies for BC are covered in depth in Section 3. Section 4 contains details on current and previous ML studies for BC screening, pathology and predictive analysis. ...
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and leads to the poorest patient outcomes despite surgery and chemotherapy treatment. Exploring new molecular mechanisms of TNBC that could lead to the development of novel
Breast cancer (BrC) stands as the most prevalent cancer affecting women globally, comprising 24.5% of all female cancer diagnoses and contributing to 15.0% of total cancer-related fatalities. The timely detection and precise categorization of breast cancer play pivotal roles in enhancing patient progno...
Here, combining flow cytometry, immunohistochemistry and RNA-sequencing on breast cancer samples, we identify four Cancer-Associated Fibroblast (CAF) subpopulations in metastatic lymph nodes (LN). Two myofibroblastic subsets, CAF-S1 and CAF-S4, accumulate in LN and correlate with cancer cell invasion...
No significant progress in curing or controlling inflammatory breast cancer was made until the last decade, when investigators, noting the futility of local therapies, applied systemic therapies with some significant improvement in survival. This article outlines the epidemiology, clinical signs, ...
In addition to histological features, a representative breast cancer model should include the most significant biological markers of breast cancer, namely ER, progesterone receptor (PR), and HER2, which are commonly used in breast cancer pathology to help physicians understand the tumor's malignancy ...
The rapid development of deep learning, a family of machine learning techniques, has spurred much interest in its application to medical imaging problems. Here, we develop a deep learning algorithm that can accurately detect breast cancer on screening mammograms using an “end-to-end” training app...