AIMC Topic: Drug Resistance, Neoplasm

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Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 27, 2020
PURPOSE: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the colorectal cancer landscape. We developed and validated an assay that is applicable on formalin-fixed, paraffin-embedded (FFPE) samples of colorectal cance...
Humans Prognosis Female Reproducibility of Results Gene Expression Profiling Colorectal Neoplasms Transcriptome Gene Expression Regulation, Neoplastic Support Vector Machine Drug Resistance, Neoplasm Biomarkers, Tumor Male Middle Aged Risk Assessment Antineoplastic Agents
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Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks.

Nature communications Sep 1, 2020
Deep learning with Convolutional Neural Networks has shown great promise in image-based classification and enhancement but is often unsuitable for predictive modeling using features without spatial correlations. We present a feature representation ap...
High-Throughput Nucleotide Sequencing Datasets as Topic Drug Resistance, Neoplasm Oligonucleotide Array Sequence Analysis Cell Line, Tumor Neoplasms Humans Antineoplastic Agents Biomarkers, Tumor Image Processing, Computer-Assisted Gene Expression Profiling Cell Proliferation Deep Learning Drug Screening Assays, Antitumor Bayes Theorem
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Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.

Frontiers in immunology Aug 25, 2020
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
Predictive Value of Tests Carcinoma Drug Resistance, Neoplasm Urothelium Risk Assessment Gene Expression Profiling Transcriptome Time Factors Immune Checkpoint Inhibitors Clinical Decision-Making Humans B7-H1 Antigen Female Machine Learning Nomograms Risk Factors Decision Support Techniques Treatment Outcome Biomarkers, Tumor Antibodies, Monoclonal, Humanized Male Urinary Bladder Neoplasms
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The emerging roles of artificial intelligence in cancer drug development and precision therapy.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie May 20, 2020
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...
Precision Medicine Clinical Decision-Making Animals Neoplasms Antineoplastic Agents Humans Artificial Intelligence Drug Resistance, Neoplasm Molecular Targeted Therapy Radiotherapy, Computer-Assisted Immunotherapy Antigens, Neoplasm Signal Transduction Drug Development
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Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells.

International journal of molecular sciences Apr 30, 2020
It is known that single or isolated tumor cells enter cancer patients' circulatory systems. These circulating tumor cells (CTCs) are thought to be an effective tool for diagnosing cancer malignancy. However, handling CTC samples and evaluating CTC se...
Neoplasms Antineoplastic Agents Deep Learning Cell Line, Tumor Humans Neural Networks, Computer Single-Cell Analysis Machine Learning Drug Resistance, Neoplasm Cells, Cultured Precision Medicine
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RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance.

Scientific reports Feb 5, 2020
Cancer is one of the most difficult diseases to treat owing to the drug resistance of tumour cells. Recent studies have revealed that drug responses are closely associated with genomic alterations in cancer cells. Numerous state-of-the-art machine le...
Cell Line, Tumor Genomics Computational Biology Drug Repositioning Gene Expression Computer Simulation Precision Medicine Neoplasms Antineoplastic Agents Genetic Markers Drug Resistance, Neoplasm Humans Neural Networks, Computer Machine Learning
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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...
Tumor Suppressor Protein p53 Cancer Vaccines DNA Mutational Analysis Mutation Prognosis Models, Genetic Tumor Suppressor Proteins DNA Repair Enzymes Genetic Heterogeneity Tumor Microenvironment Antineoplastic Combined Chemotherapy Protocols Humans Drug Resistance, Neoplasm Chemoradiotherapy, Adjuvant Brain Neoplasms Glioblastoma Microtubules Machine Learning Clonal Evolution Immune Checkpoint Inhibitors Brain DNA Modification Methylases Computational Biology Precision Medicine
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The Use of Transdermal Estrogen in Castrate-resistant, Steroid-refractory Prostate Cancer.

Clinical genitourinary cancer Oct 10, 2019
BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer. Corticosteroids and estrogens are also useful agents in castration-resistant prostate cancer (CRPC). However, oral estrogens are associated with thr...
Humans Administration, Cutaneous Quality of Life Prognosis Estrogens Aged Aged, 80 and over Follow-Up Studies Male Drug Resistance, Neoplasm Middle Aged Prostatic Neoplasms, Castration-Resistant Steroids
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Network as a Biomarker: A Novel Network-Based Sparse Bayesian Machine for Pathway-Driven Drug Response Prediction.

Genes Aug 9, 2019
With the advances in different biological networks including gene regulation, gene co-expression, protein-protein interaction networks, and advanced approaches for network reconstruction, analysis, and interpretation, it is possible to discover relia...
Humans Machine Learning Cell Line, Tumor Gene Regulatory Networks Drug Resistance, Neoplasm Bayes Theorem
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Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Cancer gene therapy May 29, 2019
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature white blood cells from the bone marrow. Therapy resistance resulting from the persistence of leukemia stem cells (LSCs) are found in numerous patient...
Feasibility Studies Datasets as Topic Drug Resistance, Neoplasm Monte Carlo Method Gene Expression Profiling Computational Biology Models, Genetic Support Vector Machine Neoplastic Stem Cells Humans Biomarkers, Tumor Leukemia, Myeloid, Acute
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