AIMC Topic: Antineoplastic Combined Chemotherapy Protocols

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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...
Female Aged Biomarkers, Tumor Male Middle Aged Humans Machine Learning Retrospective Studies Mutation Paclitaxel Liquid Biopsy Clinical Trials, Phase III as Topic Bevacizumab Lung Neoplasms Immunotherapy Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic
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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...
Ovarian Neoplasms Prognosis Humans Female Machine Learning Survival Rate Middle Aged Algorithms Biomarkers, Tumor Gene Expression Profiling Precision Medicine Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Follow-Up Studies
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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...
Ultrasonography Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Neoadjuvant Therapy Ultrasonography, Mammary Adult Breast Neoplasms Middle Aged Deep Learning Chemotherapy, Adjuvant Humans Prognosis Female Aged
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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...
Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Humans Prognosis Female Receptor, ErbB-2 Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Mutation High-Throughput Nucleotide Sequencing
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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...
Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Immune Checkpoint Inhibitors Antineoplastic Combined Chemotherapy Protocols Combined Modality Therapy Chemoembolization, Therapeutic Protein Kinase Inhibitors Female Aged Adult Radiomics Male Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Tyrosine Kinase Inhibitors
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Artificial Intelligence-Powered Human Epidermal Growth Factor Receptor 2 and Tumor Microenvironment Analysis in Human Epidermal Growth Factor Receptor 2-Amplified Metastatic Colorectal Cancer: Exploratory Analysis of Phase II TRIUMPH Trial.

JCO precision oncology Jan 17, 2025
PURPOSE: Human epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in treating -amplified metastatic colorectal cancer (mCRC). Identifying optimal biomarkers for treatment decisions remains challenging. This study explores...
Antineoplastic Combined Chemotherapy Protocols Antibodies, Monoclonal, Humanized Neoplasm Metastasis Receptor, ErbB-2 Trastuzumab Aged Humans Colorectal Neoplasms Artificial Intelligence Tumor Microenvironment Female Male Middle Aged
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First-line combination therapy of immunotherapy plus anti-angiogenic drug for thoracic SMARCA4-deficient undifferentiated tumors in AIDS: a case report and review of the literature.

Frontiers in immunology Jan 9, 2025
BACKGROUND: Thoracic SMARCA4-deficient undifferentiated tumors (SMARCA4-UT) exhibit a notably aggressive phenotype, which is associated with poor patient survival outcomes. These tumors are generally resistant to conventional cytotoxic chemotherapy, ...
Antineoplastic Combined Chemotherapy Protocols Immunotherapy Humans Acquired Immunodeficiency Syndrome DNA Helicases Thoracic Neoplasms Nuclear Proteins Transcription Factors Angiogenesis Inhibitors Aged Male Lung Neoplasms
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Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report.

Frontiers in immunology Jan 8, 2025
Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by histological features resembling hepatocellular carcinoma. Surgical intervention remains the preferred treatment modality for eligible patients. However...
Oxonic Acid Tegafur Drug Combinations Humans Neoadjuvant Therapy Stomach Neoplasms Adenocarcinoma Male Antibodies, Monoclonal, Humanized Middle Aged Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Oxaliplatin
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Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.

Lung cancer (Amsterdam, Netherlands) Jan 2, 2025
OBJECTIVES: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through...
Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Neoplasm Staging Small Cell Lung Carcinoma Middle Aged Humans Gene Expression Profiling Machine Learning Transcriptome Prospective Studies Lung Neoplasms Female Prognosis Immunotherapy Aged Biomarkers, Tumor Male
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma.

CPT: pharmacometrics & systems pharmacology Dec 25, 2024
We employed a mechanistic learning approach, integrating on-treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post-progression survival (PPS)-the duration from the time of document...
Humans Machine Learning Female Antineoplastic Combined Chemotherapy Protocols Aged Treatment Outcome Male Squamous Cell Carcinoma of Head and Neck Middle Aged Head and Neck Neoplasms Cetuximab
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