AIMC Topic: Antineoplastic Combined Chemotherapy Protocols

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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...
Immune Checkpoint Inhibitors Antineoplastic Combined Chemotherapy Protocols Protein Kinase Inhibitors Infusions, Intra-Arterial Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Humans Retrospective Studies Female Aged Adult 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...
Treatment Outcome Humans Protein Kinase Inhibitors Cyclin-Dependent Kinase 4 Female Benzimidazoles Randomized Controlled Trials as Topic Cyclin-Dependent Kinase 6 Breast Neoplasms Receptors, Estrogen Progression-Free Survival Network Meta-Analysis as Topic Antineoplastic Combined Chemotherapy Protocols Purines Receptor, ErbB-2 Aminopyridines Receptors, Progesterone Aromatase Inhibitors
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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...
Humans Middle Aged Antineoplastic Combined Chemotherapy Protocols Recurrence Lymphoma, Extranodal NK-T-Cell Lymphoma, T-Cell Retrospective Studies Female Aged Adult Male
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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...
Canada Antineoplastic Combined Chemotherapy Protocols Neoplasm Metastasis Female Humans Cetuximab Aged Machine Learning Colorectal Neoplasms Male Middle 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).
Prednisone Rituximab Vincristine Radiomics Lymphoma, Large B-Cell, Diffuse Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Radiopharmaceuticals Positron-Emission Tomography Cyclophosphamide Prognosis Fluorodeoxyglucose F18 Retrospective Studies Female Humans Aged Machine Learning Aged, 80 and over
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Machine Learning Retrospective Studies Female Aged Biomarkers, Tumor Humans Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Mutation Paclitaxel Liquid Biopsy Male Middle Aged Lung Neoplasms Immunotherapy Antineoplastic Combined Chemotherapy Protocols Clinical Trials, Phase III as Topic Bevacizumab
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Enhancing Personalized Chemotherapy for Ovarian Cancer: Integrating Gene Expression Data with Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2025
OBJECTIVE:  Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, often resulting in suboptimal chemotherapy outcomes. This study aimed to leverage machine learning algorithms, gene selection, and gene expression dat...
Follow-Up Studies Algorithms Precision Medicine Ovarian Neoplasms Prognosis Humans Biomarkers, Tumor Female Machine Learning Middle Aged Survival Rate Gene Expression Profiling Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols
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Predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients based on ultrasound longitudinal temporal depth network fusion model.

Breast cancer research : BCR Feb 27, 2025
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breas...
Treatment Outcome Neoadjuvant Therapy Ultrasonography, Mammary Chemotherapy, Adjuvant Breast Neoplasms Middle Aged Deep Learning Ultrasonography Antineoplastic Combined Chemotherapy Protocols Prognosis Humans Female Aged Adult
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Next-generation sequencing based deep learning model for prediction of HER2 status and response to HER2-targeted neoadjuvant chemotherapy.

Journal of cancer research and clinical oncology Feb 9, 2025
INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 (HER2) is closely related to their prognosis and treatment decisions. This study aimed to further improve the accuracy and efficiency of HER2 amplific...
Humans Prognosis Female Adult Breast Neoplasms Biomarkers, Tumor Mutation High-Throughput Nucleotide Sequencing Middle Aged Receptor, ErbB-2 Deep Learning Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors.

BMC gastroenterology Jan 21, 2025
OBJECTIVE: To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarteri...
Aged Adult Radiomics Male Middle Aged Prognosis Retrospective Studies Tomography, X-Ray Computed Female Combined Modality Therapy Chemoembolization, Therapeutic Protein Kinase Inhibitors Tyrosine Kinase Inhibitors Deep Learning Humans Liver Neoplasms Carcinoma, Hepatocellular Immune Checkpoint Inhibitors Antineoplastic Combined Chemotherapy Protocols
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