AIMC Topic: Neoplasm Proteins

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Higher Serum Endocan Level Is Associated with Alzheimer Disease.

Dementia and geriatric cognitive disorders Jan 26, 2018
BACKGROUND: The novel molecule endocan, which is released by endothelium and is regulated by proangiogenic and proinflammatory cytokines, may have a role in the pathophysiology of Alzheimer disease (AD). The aim of this study was to evaluate the rela...
Neoplasm Proteins Geriatric Assessment Reference Values Aged, 80 and over Alzheimer Disease Humans Neuropsychological Tests Male Biomarkers Cognitive Dysfunction Female ROC Curve Aged Proteoglycans
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PSCA rs1045531 Polymorphism and the Risk of Prostate Cancer in a Chinese Population Undergoing Prostate Biopsy.

Technology in cancer research & treatment Nov 14, 2017
BACKGROUND AND PURPOSE: This study explored the association between a single-nucleotide polymorphism of prostate stem cell antigen and prostate cancer in Chinese patients undergoing prostate biopsy.
Neoplasm Proteins Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading Prostate Genetic Predisposition to Disease Polymorphism, Single Nucleotide Humans Biopsy Genotype Risk Factors GPI-Linked Proteins Genetic Association Studies Aged Antigens, Neoplasm Male Middle Aged
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Finding disagreement pathway signatures and constructing an ensemble model for cancer classification.

Scientific reports Aug 30, 2017
Cancer classification based on molecular level is a relatively routine research procedure with advances in high-throughput molecular profiling techniques. However, the number of genes typically far exceeds the number of the sample size in gene expres...
Humans Neoplasms Antineoplastic Agents Gene Expression Profiling Datasets as Topic Oligonucleotide Array Sequence Analysis Taxoids Atlases as Topic Anthracyclines Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Support Vector Machine Neoplasm Proteins
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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...
T-Lymphocytes, Cytotoxic Oligopeptides Immunogenicity, Vaccine Mice, Transgenic Models, Immunological Protein Refolding Antigens, Neoplasm Vaccines, Synthetic Membrane Proteins Melanoma Neoplasm Proteins Humans Reproducibility of Results Mice, Knockout Artificial Intelligence Animals Cells, Cultured Peptide Fragments Computational Biology Epitopes Cancer Vaccines HLA-A2 Antigen Protein Stability Expert Systems
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Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

Scientific reports Feb 24, 2017
The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide associ...
Aged Biomarkers, Tumor Male Middle Aged Genome-Wide Association Study Humans Machine Learning Prognosis Prostatic Neoplasms Prostate Rectum Hemorrhage Erectile Dysfunction Cohort Studies Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Proteins Radiation Tolerance Gamma Rays
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Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.

Nucleus (Austin, Tex.) Mar 10, 2016
A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm ...
RNA, Ribosomal RNA, Neoplasm Cell Nucleolus Nuclear Envelope Membrane Proteins Nuclear Proteins Humans Neoplasm Proteins Machine Learning Microtubule-Associated Proteins Algorithms Female Breast Neoplasms Cell Line, Tumor
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Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

BMC bioinformatics Jan 11, 2016
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and research into NSCLC has been accumulating steadily over several years. Drug repositioning is the current trend in the pharmaceutical industry for ident...
Drug Repositioning Microarray Analysis Machine Learning Algorithms Drug Discovery Antineoplastic Agents Lung Neoplasms Gene Expression Regulation, Neoplastic Signal Transduction Models, Theoretical Carcinoma, Non-Small-Cell Lung Neoplasm Proteins Humans
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canSAR: an updated cancer research and drug discovery knowledgebase.

Nucleic acids research Dec 15, 2015
canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational research and drug discovery. canSAR integrates genomic, protein, pharmacological, drug and chemical da...
Neoplasm Proteins Gene Expression Knowledge Bases Clinical Trials as Topic Animals Neoplasms Drug Discovery Antineoplastic Agents Cell Line, Tumor Humans
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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.

IEEE/ACM transactions on computational biology and bioinformatics Sep 14, 2015
Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up t...
Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Neoplasms Genetic Predisposition to Disease Databases, Genetic Neoplasm Proteins Genetic Markers Data Mining Pattern Recognition, Automated Genes, Neoplasm
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Tissue Fixation Isotope Labeling GTPase-Activating Proteins Neprilysin Lymphoma, Large B-Cell, Diffuse Phosphoprotein Phosphatases Cell Line, Tumor Tissue Embedding Gene Expression Regulation, Neoplastic Signal Transduction Proteomics Neoplasm Proteins Proteome Humans Principal Component Analysis Machine Learning Formaldehyde Biomarkers, Tumor Apoptosis Regulatory Proteins
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