AIMC Topic: Receptors, Progesterone

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The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin.

Breast (Edinburgh, Scotland) May 28, 2021
Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach...
Humans Artificial Intelligence Biomarkers, Tumor Middle Aged Neoplasm Recurrence, Local Receptor, ErbB-2 Receptors, Progesterone Prognosis Retrospective Studies Female Breast Neoplasms
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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

European journal of cancer (Oxford, England : 1990) Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Disease Progression Antineoplastic Combined Chemotherapy Protocols Follow-Up Studies Natural Language Processing Electronic Health Records Female Aged Young Adult Aged, 80 and over Humans Adult Machine Learning Survival Rate Prognosis Breast Neoplasms Retrospective Studies Middle Aged
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A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Scientific reports Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Prognosis Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Machine Learning Adolescent ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Young Adult Adult Breast Neoplasms Middle Aged Carcinoma, Lobular Receptor, ErbB-2 Carcinoma, Ductal, Breast Receptors, Estrogen Receptors, Progesterone
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Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.

IEEE transactions on medical imaging Aug 7, 2019
Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnostics. Determination of the proportion of stained cells (labeling index) should be restricted on malignant epithelial cells, carefully avoiding tumor inf...
Keratins Ki-67 Antigen Female Breast Neoplasms Biomarkers, Tumor Deep Learning Epithelial Cells Image Interpretation, Computer-Assisted Immunohistochemistry Receptors, Estrogen Receptors, Progesterone Humans Algorithms
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Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.

Scientific reports Jun 25, 2019
Electronic health records (EHR) represent a rich resource for conducting observational studies, supporting clinical trials, and more. However, much of the data contains unstructured text, presenting an obstacle to automated extraction. Natural langua...
Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Female Breast Neoplasms Natural Language Processing Datasets as Topic Humans Machine Learning Algorithms Electronic Health Records
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Classifying Breast Cancer Subtypes Using Multiple Kernel Learning Based on Omics Data.

Genes Mar 7, 2019
It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrinsic differences are closely related to clinical diagnosis and designation of treatment plans. With the accumulation of biological and medicine datasets...
DNA Methylation DNA Copy Number Variations Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Machine Learning Humans Female Genomics RNA, Messenger Triple Negative Breast Neoplasms
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Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier.

Breast cancer research : BCR Jan 25, 2019
BACKGROUND: BRCA1-mutated cancers exhibit deficient homologous recombination (HR) DNA repair, resulting in extensive copy number alterations and genome instability. HR deficiency can also arise in tumors without a BRCA1 mutation. Compared with other ...
Support Vector Machine DNA Methylation DNA Copy Number Variations Breast Survival Analysis Aged Datasets as Topic Humans Adult Receptors, Progesterone CpG Islands Female Breast Neoplasms BRCA1 Protein Promoter Regions, Genetic Middle Aged Homologous Recombination Receptors, Estrogen Epigenomics
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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...
Support Vector Machine Receptors, Progesterone Cluster Analysis Protein Interaction Domains and Motifs Area Under Curve Receptors, Androgen Receptors, Estrogen Humans ROC Curve Proteome
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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 Liver Neoplasms Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone
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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.
Receptors, Progesterone Vascular Endothelial Growth Factor C Lymphangiogenesis Receptor, TIE-2 Angiopoietin-2 Iran Neovascularization, Pathologic Receptor, ErbB-2 Receptors, Estrogen Humans Angiopoietin-1 Adult Prognosis Breast Neoplasms Female Biomarkers, Tumor Aged Middle Aged Lymphatic Metastasis
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