AIMC Topic: Cell Line, Tumor

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In vitro cytotoxic, antioxidant, antibacterial and antifungal activity of Saussurea heteromalla indigenous to Pakistan.

Pakistan journal of pharmaceutical sciences Nov 1, 2019
Medicinal plants are proven to reveal vast promising potential providing novel drug candidates to combat health-related problems. The aim of current study is to discover new drug compounds with anti-anticancer, antioxidant, antibacterial and antifung...
Cell Line, Tumor Mice Bacteria Antioxidants Plant Extracts Candida albicans Cell Line Antifungal Agents Humans Pakistan Anti-Bacterial Agents Plants, Medicinal Animals HeLa Cells Microbial Sensitivity Tests NIH 3T3 Cells
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Effects of Jiazhu decoction in combination with cyclophosphamide on breast cancer in mice.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Oct 1, 2019
OBJECTIVE: To investigate the therapeutic effects of Jiazhu decoction (JZD) in combination with cyclophosphamide (CTX) on the growth of breast cancer in mice and to explore the possible molecular mechanisms of action.
Cyclin D1 Cyclophosphamide Genes, myc beta Catenin Breast Neoplasms Animals Antineoplastic Agents Cell Proliferation Drugs, Chinese Herbal Cell Line, Tumor Drug Interactions Mice Xenograft Model Antitumor Assays RNA, Messenger Gene Expression Regulation, Neoplastic
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DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies.

Nucleic acids research May 7, 2019
Although rapid progress has been made in computational approaches for prioritizing cancer driver genes, research is far from achieving the ultimate goal of discovering a complete catalog of genes truly associated with cancer. Driver gene lists predic...
Neoplasms Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Humans Machine Learning Software Datasets as Topic Monte Carlo Method Cell Cycle Proteins Atlases as Topic Oncogenes Nuclear Proteins Cell Movement Neoplasm Proteins Mutation
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A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche.

Lab on a chip Mar 27, 2019
Brain metastases are the most lethal complication of advanced cancer; therefore, it is critical to identify when a tumor has the potential to metastasize to the brain. There are currently no interventions that shed light on the potential of primary t...
Cell Separation Humans Artificial Intelligence Phenotype Brain Neoplasms Cell Line, Tumor
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[Down-regulated PTTG1 expression promotes the senescence of human prostate cancer LNCaP-AI].

Zhonghua nan ke xue = National journal of andrology Mar 1, 2019
OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transforming gene 1 (PTTG1) on the senescence of human castration-resistant prostate cancer LNCaP-AI cells.
RNA, Small Interfering Prostatic Neoplasms, Castration-Resistant Securin beta-Galactosidase Humans Male Cell Line, Tumor Cell Proliferation
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[Effects of long non-coding RNA RP1-90L14.1 on the biological behaviors of cancer prostate LNCaP cells and its regulating mechanisms].

Zhonghua nan ke xue = National journal of andrology Mar 1, 2019
OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migration and invasion of prostate cancer LNCaP cells and the expressions of GRIN2A and BACE2.
Receptors, N-Methyl-D-Aspartate Prostatic Neoplasms Transfection Amyloid Precursor Protein Secretases Aspartic Acid Endopeptidases Humans Male Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Cell Movement Neoplasm Invasiveness RNA, Long Noncoding
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PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Cancer is a complex collection of diseases that are to some degree unique to each patient. Precision oncology aims to identify the best drug treatment regime using molecular data on tumor samples. While omics-level data is becoming more widely availa...
Humans Machine Learning Software Information Storage and Retrieval Patient-Specific Modeling Pharmacogenomic Variants Cell Line, Tumor Computational Biology Supervised Machine Learning Drug Resistance, Neoplasm Databases, Factual Precision Medicine Neoplasms Antineoplastic Agents
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Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Integrative biology : quantitative biosciences from nano to macro Dec 19, 2018
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...
Neoplasms Deep Learning Cell Line, Tumor Single-Cell Analysis Female Reproducibility of Results Breast Neoplasms Animals Neoplasm Metastasis Lab-On-A-Chip Devices Mice Cell Movement Epithelial-Mesenchymal Transition Models, Biological Humans Neural Networks, Computer Algorithms Decision Support Techniques
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[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology Dec 1, 2018
Objective To investigate the effects of Astragalus polysaccharide (APS) combined with cisplatin (DDP) on the pathological morphology of recurrent tumor and the expression of metastasis-related proteins CD44, CD62P and osteopontin (OPN) following Lewi...
Mice, Inbred C57BL P-Selectin Neoplasm Recurrence, Local Polysaccharides Cisplatin Astragalus Plant Carcinoma, Lewis Lung Hyaluronan Receptors Osteopontin Random Allocation Animals Cell Line, Tumor Lung Neoplasms Mice
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Learning with multiple pairwise kernels for drug bioactivity prediction.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Many inference problems in bioinformatics, including drug bioactivity prediction, can be formulated as pairwise learning problems, in which one is interested in making predictions for pairs of objects, e.g. drugs and their targets. Kernel...
Signal Transduction Treatment Outcome Support Vector Machine Protein Kinases Drug Discovery Antineoplastic Agents Cell Line, Tumor Computational Biology Humans Software Neoplasms
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