apomorphine/bröstcancer

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Apomorphine, dopamine and phenylethylamine reduce the proportion of phosphorylated insulin receptor substrate 1.

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We tested the ability of dopamine, apomorphine, phenylethylamine and pergolide to inhibit the proliferation of fetal calf serum-stimulated human breast cancer (MCF)-7 cells. While the first three compounds were able to block the proliferation of MCF-7 cells, pergolide failed to do so (up to 100

Ginsenoside Rg1 protects dopaminergic neurons in a rat model of Parkinson's disease through the IGF-I receptor signalling pathway.

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OBJECTIVE We have shown that ginsenoside Rg1 is a novel class of potent phytoestrogen and activates insulin-like growth factor-I receptor (IGF-IR) signalling pathway in human breast cancer MCF-7 cells. The present study tested the hypothesis that the neuroprotective actions of Rg1 involved

A psychoneuroendocrine study of brain dopaminergic sensitivity in locally limited or metastatic cancer patients.

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In addition to the occurrence of pain, the evidence of a diminished capacity to feel pleasure is one of the most common cancer-related symptoms. Recent advances in psychoneuroendocrinological knowledge has shown that the perception of pleasure is mainly mediated by the dopaminergic pathways in the

A psychoncological study of lymphocyte subpopulations in relation to pleasure-related neurobiochemistry and sexual and spiritual profile to Rorschach's test in early or advanced cancer patients.

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According to recent advances in psychoneuroimmunology concerning the neurobiochemistry of emotions, the pshychological status of cancer patients should be investigated in relation to the function of the psychoneurodocrine system, in an attempt to put into evidence possible cancer progression-related

Drug Repositioning for Cancer Therapy Based on Large-Scale Drug-Induced Transcriptional Signatures.

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An in silico chemical genomics approach is developed to predict drug repositioning (DR) candidates for three types of cancer: glioblastoma, lung cancer, and breast cancer. It is based on a recent large-scale dataset of ~20,000 drug-induced expression profiles in multiple cancer cell lines, which

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