AIMC Topic: 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
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.

PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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...

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
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...

[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
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...

Learning with multiple pairwise kernels for drug bioactivity prediction.

Bioinformatics (Oxford, England)
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...

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.

Bioinformatics (Oxford, England)
MOTIVATION: While drug combination therapies are a well-established concept in cancer treatment, identifying novel synergistic combinations is challenging due to the size of combinatorial space. However, computational approaches have emerged as a tim...

Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas.

Cell reports
Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these "hidden responders" may reveal responsive molecular states. We describe and evaluate a mach...

Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.

Toxicological sciences : an official journal of the Society of Toxicology
The in vitro MultiFlow DNA Damage assay multiplexes p53, γH2AX, phospho-histone H3, and polyploidization biomarkers into 1 flow cytometric analysis (Bryce, S. M., Bernacki, D. T., Bemis, J. C., and Dertinger, S. D. (2016). Genotoxic mode of action pr...

[Apple polyphenol inhibited the proliferation and migration of breast cancer cell MDA-MB-231 mediated by UHRF1].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: To investigate the effects of apple polyphenol on cell proliferation and migration of breast cancer cell line MDA-MB-231, and explore the potential mechanism.