AIMC Topic: Neoplasm Proteins

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Synergistic drug combinations and machine learning for drug repurposing in chordoma.

Scientific reports Jul 31, 2020
Chordoma is a devastating rare cancer that affects one in a million people. With a mean-survival of just 6 years and no approved medicines, the primary treatments are surgery and radiation. In order to speed new medicines to chordoma patients, a drug...
Humans Machine Learning Cell Line, Tumor Piperazines Pyrimidines Benzamides Morpholines Chordoma Antineoplastic Combined Chemotherapy Protocols Neoplasm Proteins Pyridines Drug Repositioning
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Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 11, 2020
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the brain contain a vast amount of structural and functional information that can be analyzed by machine learning algorithms and radiomics for the use o...
Humans Sensitivity and Specificity Brain Neoplasms Deep Learning Imaging Genomics Neuroimaging Radiosurgery Promoter Regions, Genetic Radiation Oncology Isocitrate Dehydrogenase Neoplasm Grading Neoplasm Recurrence, Local Progression-Free Survival DNA Modification Methylases DNA Repair Enzymes Positron-Emission Tomography Tumor Suppressor Proteins Image Processing, Computer-Assisted DNA Methylation Radiotherapy Planning, Computer-Assisted Computational Biology Diagnosis, Differential Glioma Neoplasm Proteins Magnetic Resonance Imaging Glioblastoma
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Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression.

Scientific reports Feb 17, 2020
Welding generates and releases fumes that are hazardous to human health. Welding fumes (WFs) are a complex mix of metallic oxides, fluorides and silicates that can cause or exacerbate health problems in exposed individuals. In particular, WF inhalati...
Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Neoplasm Proteins Humans Machine Learning Welding Metabolic Networks and Pathways Inhalation Exposure Gases Air Pollutants, Occupational
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Evaluation of colorectal cancer subtypes and cell lines using deep learning.

Life science alliance Dec 2, 2019
Colorectal cancer (CRC) is a common cancer with a high mortality rate and a rising incidence rate in the developed world. Molecular profiling techniques have been used to better understand the variability between tumors and disease models such as cel...
Mutation Models, Biological Machine Learning Colorectal Neoplasms Biomarkers, Tumor Gene Expression Profiling Sequence Analysis, DNA DNA Copy Number Variations Neoplasm Proteins Deep Learning Cell Line, Tumor Humans
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Identifying Cancer-Specific circRNA-RBP Binding Sites Based on Deep Learning.

Molecules (Basel, Switzerland) Nov 7, 2019
Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in human diseases and biological processes. Recent studies have reported that circRNAs could function as RNA binding protein (RBP) sponges, meanwhile RBPs...
Sequence Analysis, Protein RNA, Neoplasm RNA, Circular RNA-Binding Proteins Humans Databases, Protein Neoplasms Neoplasm Proteins Deep Learning Binding Sites
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System-level responses to cisplatin in pro-apoptotic stages of breast cancer MCF-7 cell line.

Computational biology and chemistry Nov 2, 2019
Cisplatin ceases cell division and induces apoptosis in cancer cell lines. It is well established that cisplatin alters the expression of many genes involved in several cellular processes and pathways including transcription, p53 signaling pathway, a...
Humans Software Apoptosis Neoplasm Proteins Drug Screening Assays, Antitumor MCF-7 Cells Protein Interaction Maps Female Cisplatin Gene Regulatory Networks Breast Neoplasms Gene Ontology Gene Expression Regulation, Neoplastic Drug Discovery Cell Proliferation Antineoplastic Agents
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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Neoplasm Proteins Humans Keratins, Type II Deoxycytidine Gemcitabine Female Survival Rate Fluorouracil Middle Aged Leucovorin Machine Learning Irinotecan Sensitivity and Specificity Antineoplastic Combined Chemotherapy Protocols Carcinoma, Pancreatic Ductal Male Adult Disease-Free Survival Keratins, Hair-Specific Retrospective Studies Oxaliplatin Pancreatic Neoplasms
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Screening of disorders associated with osteosarcoma by integrated network analysis.

Bioscience reports May 21, 2019
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. However, research on the pathogenesis and treatment of osteosarcoma is still insufficient. In the present study, based on gene-phenotype correlation networ...
Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic Osteosarcoma Gene Ontology Bone Neoplasms Neoplasm Proteins Humans
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Multilayer network analysis of miRNA and protein expression profiles in breast cancer patients.

PloS one Apr 4, 2019
MiRNAs and proteins play important roles in different stages of breast tumor development and serve as biomarkers for the early diagnosis of breast cancer. A new algorithm that combines machine learning algorithms and multilayer complex network analys...
MicroRNAs Humans Neoplasm Proteins Machine Learning RNA, Neoplasm Female Breast Neoplasms Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic
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Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches.

Journal of integrative bioinformatics Dec 22, 2018
The advance of high-throughput RNA-Sequencing techniques enables researchers to analyze the complete gene activity in particular cells. From the insights of such analyses, researchers can identify disease-specific expression profiles, thus understand...
Pattern Recognition, Automated Computational Biology Gene Expression Regulation, Neoplastic Humans Neoplasm Proteins Algorithms Knowledge Bases Neoplasms Gene Expression Profiling
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