AIMC Topic: Receptors, Estrogen

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Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

BMC cancer May 30, 2018
BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision of whether or not to use chemotherapy. Howev...
Supervised Machine Learning Cell Nucleus Receptors, Estrogen Genetic Testing Breast Models, Biological Breast Neoplasms Middle Aged ROC Curve Image Processing, Computer-Assisted Staining and Labeling Predictive Value of Tests Principal Component Analysis Neoplasm Staging Risk Factors Aged Young Adult Adult Humans Prognosis Female
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Optimal adjuvant endocrine treatment of ER+/HER2+ breast cancer patients by age at diagnosis: A population-based cohort study.

European journal of cancer (Oxford, England : 1990) Dec 21, 2017
BACKGROUND: Prior randomised controlled trials on adjuvant hormonal therapy included HER2 patients; however, a differential effect of aromatase inhibitors (AIs) versus tamoxifen (TAM) may have been missed in ER+/HER2+ patients that comprise 7-15% of ...
Disease-Free Survival Netherlands Age of Onset Receptor, ErbB-2 Proportional Hazards Models Antineoplastic Agents, Hormonal Aromatase Inhibitors Adult Humans Chemotherapy, Adjuvant Kaplan-Meier Estimate Female Breast Neoplasms Tamoxifen Receptors, Estrogen Aged Middle Aged Cohort Studies
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Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

Journal of proteome research Nov 27, 2017
Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it re...
Breast Neoplasms Metabolomics Area Under Curve Receptors, Estrogen Humans Machine Learning Female
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MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.

Journal of microscopy Mar 20, 2017
Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time-consumption and inter-/intraobserver variability are major hindrances for evaluating the r...
Breast Neoplasms Biomarkers, Tumor Image Processing, Computer-Assisted Immunohistochemistry Machine Learning Automation, Laboratory Female Receptors, Estrogen Humans Neural Networks, Computer
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A ternary classification using machine learning methods of distinct estrogen receptor activities within a large collection of environmental chemicals.

The Science of the total environment Dec 20, 2016
Endocrine-disrupting chemicals (EDCs), which can threaten ecological safety and be harmful to human beings, have been cause for wide concern. There is a high demand for efficient methodologies for evaluating potential EDCs in the environment. Herein ...
Humans Machine Learning Support Vector Machine Discriminant Analysis Endocrine Disruptors Receptors, Estrogen
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Neural-Network Scoring Functions Identify Structurally Novel Estrogen-Receptor Ligands.

Journal of chemical information and modeling Sep 4, 2015
The magnitude of the investment required to bring a drug to the market hinders medical progress, requiring hundreds of millions of dollars and years of research and development. Any innovation that improves the efficiency of the drug-discovery proces...
Models, Biological Ligands Molecular Conformation Receptors, Estrogen Drug Discovery Humans Protein Binding Neural Networks, Computer Estradiol Databases, Factual Computer Simulation
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Efficient prediction of progesterone receptor interactome using a support vector machine model.

International journal of molecular sciences Mar 3, 2015
Protein-protein interaction (PPI) is essential for almost all cellular processes and identification of PPI is a crucial task for biomedical researchers. So far, most computational studies of PPI are intended for pair-wise prediction. Theoretically, p...
Receptors, Androgen Receptors, Estrogen Receptors, Progesterone Protein Interaction Domains and Motifs Proteome Support Vector Machine Cluster Analysis Area Under Curve Humans ROC Curve
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Advances in research on receptor heterogeneity in breast cancer liver metastasis.

Bioscience trends May 9, 2025
Breast cancer liver metastasis (BCLM) presents a critical challenge in breast cancer treatment and has substantial epidemiological and clinical significance. Receptor status is pivotal in managing both primary breast cancer and its liver metastases. ...
Humans Prognosis Female Breast Neoplasms Tumor Microenvironment Receptors, Progesterone Liver Neoplasms Receptor, ErbB-2 Receptors, Estrogen
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Hormone Receptor-Dependent Correlations Between Angiopoietins and VEGF-C in Primary Breast Cancer: Insights Into Lymphangiogenic Biomarkers.

Cancer reports (Hoboken, N.J.) May 1, 2025
BACKGROUND: Biomarkers of angiogenesis and lymphangiogenesis have been explored in cancer prognostic models; however, their potential role in assessing local tumor invasiveness remains poorly understood.
Neovascularization, Pathologic Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Vascular Endothelial Growth Factor C Lymphangiogenesis Receptor, TIE-2 Biomarkers, Tumor Angiopoietin-2 Angiopoietin-1 Middle Aged Aged Lymphatic Metastasis Adult Iran Breast Neoplasms Humans Prognosis Female
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Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Mar 1, 2023
Image analysis assistance with artificial intelligence (AI) has become one of the great promises over recent years in pathology, with many scientific studies being published each year. Nonetheless, and perhaps surprisingly, only few image AI systems ...
Humans Estrogens Receptors, Estrogen Receptors, Progesterone Ki-67 Antigen Artificial Intelligence Female Reproducibility of Results Breast Neoplasms
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