AIMC Topic: Cancer Vaccines

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Combination Strategies for Immune-Checkpoint Blockade and Response Prediction by Artificial Intelligence.

International journal of molecular sciences Apr 19, 2020
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in advanced cancer patient subgroups. However, the majority of patients...
Molecular Targeted Therapy T-Lymphocyte Subsets Cancer Vaccines Humans Treatment Outcome Neoplasms Biomarkers, Tumor Artificial Intelligence Antineoplastic Agents, Immunological Immune Checkpoint Inhibitors Animals Combined Modality Therapy Immunotherapy
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pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

Cancer immunology research Jan 6, 2020
Identification of neoantigens is a critical step in predicting response to checkpoint blockade therapy and design of personalized cancer vaccines. This is a cross-disciplinary challenge, involving genomics, proteomics, immunology, and computational a...
Humans Neural Networks, Computer Mutation Data Mining Computational Biology Artificial Intelligence Immunotherapy Software Cancer Vaccines Algorithms Antigens, Neoplasm Neoplasms
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High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets.

Cancer immunology research Dec 23, 2019
Computational prediction of binding between neoantigen peptides and major histocompatibility complex (MHC) proteins can be used to predict patient response to cancer immunotherapy. Current neoantigen predictors focus on estimation of MHC binding aff...
Algorithms Neoplasms Protein Binding Computational Biology Cancer Vaccines Humans Neural Networks, Computer Artificial Intelligence Software Data Mining Mutation, Missense Histocompatibility Antigens Class II Antigens, Neoplasm CD8-Positive T-Lymphocytes Predictive Value of Tests Histocompatibility Antigens Class I
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Novel approaches for glioblastoma treatment: Focus on tumor heterogeneity, treatment resistance, and computational tools.

Cancer reports (Hoboken, N.J.) Nov 11, 2019
BACKGROUND: Glioblastoma (GBM) is a highly aggressive primary brain tumor. Currently, the suggested line of action is the surgical resection followed by radiotherapy and treatment with the adjuvant temozolomide, a DNA alkylating agent. However, the a...
Microtubules Tumor Suppressor Protein p53 Tumor Suppressor Proteins DNA Modification Methylases Computational Biology Prognosis Genetic Heterogeneity Humans DNA Mutational Analysis Cancer Vaccines Tumor Microenvironment Chemoradiotherapy, Adjuvant Machine Learning DNA Repair Enzymes Models, Genetic Brain Neoplasms Clonal Evolution Brain Antineoplastic Combined Chemotherapy Protocols Drug Resistance, Neoplasm Immune Checkpoint Inhibitors Glioblastoma Precision Medicine Mutation
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Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes.

Cancer immunology research Sep 12, 2019
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility complex (MHC) binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity usi...
Computational Biology Cancer Vaccines Antigens, Neoplasm Mice, Inbred BALB C Histocompatibility Antigens Class I Histocompatibility Antigens Class II T-Lymphocytes, Cytotoxic Mice, Inbred C57BL Peptide Fragments Humans Male Neoplasms Epitopes, T-Lymphocyte Mice Machine Learning Algorithms Female Animals
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and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry May 23, 2017
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-s...
Antigens, Neoplasm Vaccines, Synthetic Membrane Proteins Neoplasm Proteins Epitopes HLA-A2 Antigen Protein Stability Mice, Knockout Peptide Fragments Reproducibility of Results Animals Computational Biology Cancer Vaccines Humans Artificial Intelligence Cells, Cultured Melanoma Models, Immunological Protein Refolding Expert Systems T-Lymphocytes, Cytotoxic Oligopeptides Immunogenicity, Vaccine Mice, Transgenic
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Extracellular vesicles as nature's nano carriers in cancer therapy: Insights toward preclinical studies and clinical applications.

Pharmacological research Jul 1, 2025
Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential for cancer therapy. However, there are several challenges and difficulties that limit their application in clinical settings. This review, which integr...
Humans Antineoplastic Agents Extracellular Vesicles Cancer Vaccines Tumor Microenvironment Nanoparticles Drug Delivery Systems Animals Neoplasms Drug Carriers
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An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

Cancer reports (Hoboken, N.J.) Dec 1, 2024
BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (PGHS) is an essential enzyme in the synthesis of prostaglandins, and its activation has been linked to many malignancies, including colorectal cancer.
Humans Machine Learning Male Vaccine Development Prostatic Neoplasms Molecular Dynamics Simulation Epitopes, B-Lymphocyte Vaccines, Subunit Epitopes, T-Lymphocyte Molecular Docking Simulation Computational Biology Cancer Vaccines
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New tools for MHC research from machine learning and predictive algorithms to the tumour immunopeptidome.

Immunology Jul 1, 2018
At a time when immunology seeks to progress ever more rapidly from characterization of a microbial or tumour antigen to the immune correlates that may define protective T-cell immunity, there is a need for robust tools to enable accurate predictions ...
Research T-Lymphocytes Humans Neoplasms Machine Learning Immunotherapy, Adoptive Epitopes, T-Lymphocyte Peptides Major Histocompatibility Complex Cancer Vaccines
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