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Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.
BMC Med Imaging
January 2025
Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.
View Article and Find Full Text PDFComplex rearrangements fuel ER and HER2 breast tumours.
Nature
January 2025
Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA.
Breast cancer is a highly heterogeneous disease whose prognosis and treatment as defined by the expression of three receptors-oestrogen receptor (ER), progesterone receptor and human epidermal growth factor receptor 2 (HER2; encoded by ERBB2)-is insufficient to capture the full spectrum of clinical outcomes and therapeutic vulnerabilities. Previously, we demonstrated that transcriptional and genomic profiles define eleven integrative subtypes with distinct clinical outcomes, including four ER subtypes with increased risk of relapse decades after diagnosis. Here, to determine whether these subtypes reflect distinct evolutionary histories, interactions with the immune system and pathway dependencies, we established a meta-cohort of 1,828 breast tumours spanning pre-invasive, primary invasive and metastatic disease with whole-genome and transcriptome sequencing.
View Article and Find Full Text PDFPredicting cell morphological responses to perturbations using generative modeling.
Nat Commun
January 2025
Department of Computational Health, Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.
Advancements in high-throughput screenings enable the exploration of rich phenotypic readouts through high-content microscopy, expediting the development of phenotype-based drug discovery. However, analyzing large and complex high-content imaging screenings remains challenging due to incomplete sampling of perturbations and the presence of technical variations between experiments. To tackle these shortcomings, we present IMage Perturbation Autoencoder (IMPA), a generative style-transfer model predicting morphological changes of perturbations across genetic and chemical interventions.
View Article and Find Full Text PDFThe Diverse Roles of Long Non-Coding RNA HOTTIP in Breast and Gynecological Cancer Progression.
Curr Mol Med
January 2025
Department of Laboratory, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Long non-coding RNAs (lncRNAs) play vital roles in the development and progression of various tumors through multiple mechanisms. Among these, HOTTIP (HOXA transcript at the distal tip) stands out as an intriguing candidate with diverse functions in several malignancies, including breast cancer and gynecologic cancers such as ovarian, cervical, and endometrial cancers, which are significant global health concerns. HOTTIP interacts with key signaling pathways associated with these cancers, including Wnt/β-catenin, PI3K/AKT, and MEK/ERK pathways, enhancing their activation and downstream effects.
View Article and Find Full Text PDFMonitoring of the Local Extracellular Environment Using Chiral Gold Nanoparticles.
J Am Chem Soc
January 2025
CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián 20014, Spain.
In three-dimensional (3D)-printed tissue models, sensitive, noninvasive techniques are required to detect changes in hydrogel structure caused by cellular remodeling. We demonstrate herein that circular dichroism (CD) spectroscopy provides a reliable method for detecting hydrogel structural variations. We probe directly the plasmonic optical activity of chiral gold nanorods (c-AuNRs) embedded within the hydrogel matrix, in response to variations in the local environment.
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