AIMC Topic: Antineoplastic Agents, Hormonal

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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer.

Breast cancer research : BCR Jan 12, 2025
Recent evidence indicates that endocrine resistance in estrogen receptor-positive (ER+) breast cancer is closely correlated with phenotypic characteristics of epithelial-to-mesenchymal transition (EMT). Nonetheless, identifying tumor tissues with a m...
Hematoxylin Drug Resistance, Neoplasm Receptors, Estrogen Antineoplastic Agents, Hormonal Eosine Yellowish-(YS) Humans Algorithms Phenotype Biomarkers, Tumor Deep Learning Epithelial-Mesenchymal Transition Female Breast Neoplasms
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Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.

Scientific reports Jan 6, 2025
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial les...
Humans Machine Learning Retrospective Studies Female Nomograms Endometrium Antineoplastic Agents, Hormonal Tamoxifen Premenopause Risk Factors Adult Breast Neoplasms Middle Aged
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Implementing AI in breast imaging: challenges to turn the gadget into gain.

European radiology Sep 4, 2023
Artificial Intelligence Diagnostic Imaging Breast Antineoplastic Agents, Hormonal Humans
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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 ...
Netherlands Tamoxifen Age of Onset Receptors, Estrogen Aromatase Inhibitors Breast Neoplasms Humans Antineoplastic Agents, Hormonal Kaplan-Meier Estimate Middle Aged Receptor, ErbB-2 Chemotherapy, Adjuvant Female Cohort Studies Proportional Hazards Models Aged Disease-Free Survival Adult
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Cognitive sequelae of endocrine therapy in women treated for breast cancer: a meta-analysis.

Breast cancer research and treatment Dec 20, 2017
PURPOSE: Evidence suggests anti-estrogen endocrine therapy (ET) is associated with adverse cognitive effects; however, findings are based on small samples and vary in the cognitive abilities affected. We conducted a meta-analysis to quantitatively sy...
Cross-Sectional Studies Cognition Cognition Disorders Aromatase Inhibitors Humans Female Breast Neoplasms Antineoplastic Agents, Hormonal Neuropsychological Tests Memory Verbal Learning
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Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Cancer medicine Nov 23, 2017
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor-related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm ...
Genomics Genetic Predisposition to Disease Polymorphism, Single Nucleotide Neoplasm Staging Antineoplastic Agents, Hormonal Germ-Line Mutation Aromatase Inhibitors Arthralgia Female Breast Neoplasms Middle Aged Humans Case-Control Studies Machine Learning Prognosis
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Effect of Long-Term Hormonal Therapy (vs Short-Term Hormonal Therapy): A Secondary Analysis of Intermediate-Risk Prostate Cancer Patients Treated on NRG Oncology RTOG 9202.

International journal of radiation oncology, biology, physics Nov 8, 2016
PURPOSE: NRG Oncology RTOG 9202 was a randomized trial testing long-term adjuvant androgen deprivation (LTAD) versus initial androgen deprivation only (STAD) with external beam radiation therapy (RT) in mostly high-risk and some intermediate-risk pro...
Androgen Antagonists Combined Modality Therapy Disease-Free Survival Radiotherapy, Conformal Kaplan-Meier Estimate Antineoplastic Agents, Hormonal Drug Administration Schedule Risk Adenocarcinoma Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading Male Middle Aged Time Factors Humans Treatment Outcome Retrospective Studies Aged Aged, 80 and over Survival Rate
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Neoadjuvant endocrine treatment in early breast cancer: An overlooked alternative?

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Nov 23, 2015
During the last decade neoadjuvant endocrine therapy (NET) has moved from being reserved for elderly and frail non-chemotherapy candidates to a primary systemic modality in selected patients with hormone sensitive breast cancer. Neoadjuvant hormonal ...
Humans Mastectomy, Segmental Age Factors Magnetic Resonance Imaging Early Detection of Cancer Neoplasm Invasiveness Receptor, ErbB-2 Adult Randomized Controlled Trials as Topic Middle Aged Prognosis Aromatase Inhibitors Breast Neoplasms Neoplasm Staging Treatment Outcome Female Antineoplastic Agents, Hormonal Neoadjuvant Therapy Risk Factors Aged
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Evaluation of machine learning algorithms and computational structural validation of CYP2D6 in predicting the therapeutic response to tamoxifen in breast cancer.

European review for medical and pharmacological sciences Dec 1, 2024
OBJECTIVE: CYP2D6 plays a critical role in metabolizing tamoxifen into its active metabolite, endoxifen, which is crucial for its therapeutic effect in estrogen receptor-positive breast cancer. Single nucleotide polymorphisms (SNPs) in the CYP2D6 gen...
Humans Cytochrome P-450 CYP2D6 Middle Aged Polymorphism, Single Nucleotide Machine Learning Antineoplastic Agents, Hormonal Tamoxifen Algorithms Female Breast Neoplasms
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Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution.

Clinical and translational science Jan 1, 2018
Precision medicine is at the forefront of biomedical research. Cancer registries provide rich perspectives and electronic health records (EHRs) are commonly utilized to gather additional clinical data elements needed for translational research. Howev...
Breast Neoplasms Gene Expression Regulation, Neoplastic Natural Language Processing Receptor, ErbB-2 Phenotype Precision Medicine Electronic Health Records Female Receptors, Estrogen Antineoplastic Agents, Hormonal Receptors, Progesterone Humans
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