AIMC Topic: Antineoplastic Combined Chemotherapy Protocols

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In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Scientific reports Jul 31, 2025
Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi), respectively, approved for chronic lymphocytic leukemia (CLL). Ibrutinib has been associated with cardiovascular events, including atrial fibrillatio...
Adenine Benzamides Atrial Fibrillation Piperidines Protein Kinase Inhibitors Agammaglobulinaemia Tyrosine Kinase Humans Antineoplastic Combined Chemotherapy Protocols Hypertension Pyrazines Computer Simulation Leukemia, Lymphocytic, Chronic, B-Cell
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Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.

Science advances Jul 30, 2025
Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effective interdependent doses, durations, and sequences of multidrug administration regimens is a time- and labor-intensive task. Here, we integrated mach...
Drug Synergism Spheroids, Cellular Organoids Machine Learning Neoplasms Humans Cell Line, Tumor Antineoplastic Combined Chemotherapy Protocols
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Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Scientific reports Jul 15, 2025
Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aime...
Humans Machine Learning Prognosis Female Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Neoplasm Recurrence, Local Esophageal Neoplasms Cisplatin Aged Male Middle Aged Polymorphism, Single Nucleotide Fluorouracil Docetaxel Chemotherapy, Adjuvant
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Evaluating cell-free DNA integrity index as a non-invasive biomarker for neoadjuvant chemotherapy in colorectal cancer patients.

BMC cancer Jul 8, 2025
BACKGROUND: Neoadjuvant chemotherapy (NAC) is gaining attention as a treatment for advanced colorectal cancer owing to its potential to improve surgical outcomes and prognosis. However, reliable biomarkers to predict the response to NAC are lacking. ...
Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Cell-Free Nucleic Acids Chemotherapy, Adjuvant Prognosis Retrospective Studies Female Aged Biomarkers, Tumor Male Middle Aged Adult Colorectal Neoplasms Humans Machine Learning
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Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Jun 6, 2025
BACKGROUND: While triplet therapy (HTI), which combines hepatic arterial infusion chemotherapy (HAIC) with tyrosine kinase inhibitors and immune checkpoint inhibitors, is widely used in the treatment of large hepatocellular carcinoma (HCC), there are...
Humans Retrospective Studies Immune Checkpoint Inhibitors Antineoplastic Combined Chemotherapy Protocols Protein Kinase Inhibitors Middle Aged Infusions, Intra-Arterial Female Deep Learning Aged Liver Neoplasms Adult Carcinoma, Hepatocellular Male
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Efficacy and safety of first-line CDK4/6 inhibitors plus AI therapy for patients with HR +/HER2- advanced breast cancer: a network meta-analysis.

BMC cancer May 8, 2025
BACKGROUND: CDK4/6 inhibitors plus aromatase inhibitors (AI) significantly improve the therapeutic effect of initial treatment for HR + /HER2- advanced breast cancer. However, there is a lack of head-to-head randomized controlled trials involving the...
Aminopyridines Aromatase Inhibitors Protein Kinase Inhibitors Benzimidazoles Cyclin-Dependent Kinase 4 Receptors, Estrogen Treatment Outcome Humans Randomized Controlled Trials as Topic Purines Cyclin-Dependent Kinase 6 Female Progression-Free Survival Receptors, Progesterone Network Meta-Analysis as Topic Breast Neoplasms Receptor, ErbB-2 Antineoplastic Combined Chemotherapy Protocols
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Forecasting optimal treatments in relapsed/refractory mature T- and NK-cell lymphomas: A global PETAL Consortium study.

British journal of haematology May 1, 2025
There is no standard of care in relapsed/refractory T-cell/natural killer-cell lymphomas. Patients often cycle through cytotoxic chemotherapy (CC), epigenetic modifiers (EM) or small molecule inhibitors (SMI) empirically. Ideal therapy at each line r...
Lymphoma, Extranodal NK-T-Cell Lymphoma, T-Cell Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Recurrence Female Humans Aged Retrospective Studies Adult
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Circumventing glioblastoma resistance to temozolomide through optimal drug combinations designed by systems pharmacology and machine learning.

British journal of pharmacology Apr 14, 2025
BACKGROUND AND PURPOSE: Glioblastoma (GBM), the most frequent and aggressive brain tumour in adults, is associated with a dismal prognostic despite intensive treatment involving surgery, radiotherapy and temozolomide (TMZ)-based chemotherapy. The ini...
Humans Machine Learning Brain Neoplasms DNA Repair Enzymes Drug Resistance, Neoplasm Tumor Suppressor Proteins Temozolomide Antineoplastic Agents, Alkylating Cell Line, Tumor Antineoplastic Combined Chemotherapy Protocols Glioblastoma DNA Modification Methylases
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Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials.

JCO clinical cancer informatics Apr 11, 2025
PURPOSE: Cetuximab (CET), targeting the epidermal growth factor receptor, is a systemic treatment option for patients with colorectal cancer. One known predictive factor for CET efficacy is the presence of CET-related rash; other putative toxicity fa...
Colorectal Neoplasms Male Middle Aged Canada Cetuximab Antineoplastic Combined Chemotherapy Protocols Neoplasm Metastasis Humans Machine Learning Female Aged
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F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study.

Journal of cancer research and clinical oncology Mar 28, 2025
PURPOSE: To explore the development and validation of automated machine learning (AutoML) models for F-FDG PET imaging-based radiomics signatures to predict treatment response in elderly patients with diffuse large B-cell lymphoma (DLBCL).
Retrospective Studies Fluorodeoxyglucose F18 Female Prednisone Aged Rituximab Antineoplastic Combined Chemotherapy Protocols Aged, 80 and over Vincristine Treatment Outcome Humans Radiomics Radiopharmaceuticals Machine Learning Lymphoma, Large B-Cell, Diffuse Positron-Emission Tomography Prognosis Male Cyclophosphamide Middle Aged
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