Results 81 to 90 of about 196,475 (280)

Towards Personalized Prostate Cancer Therapy Using Delta-Reachability Analysis [PDF]

open access: yes, 2014
Recent clinical studies suggest that the efficacy of hormone therapy for prostate cancer depends on the characteristics of individual patients. In this paper, we develop a computational framework for identifying patient-specific androgen ablation therapy schedules for postponing the potential cancer relapse.
arxiv   +1 more source

Increased accuracy of ligand sensing by receptor diffusion on cell surface [PDF]

open access: yesPhysical Review E 82, 041902 (2010), 2010
The physical limit with which a cell senses external ligand concentration corresponds to the perfect absorber, where all ligand particles are absorbed and overcounting of same ligand particles does not occur. Here we analyze how the lateral diffusion of receptors on the cell membrane affects the accuracy of sensing ligand concentration.
arxiv   +1 more source

No effects of androgen receptor gene CAG and GGC repeat polymorphisms on digit ratio (2D:4D): Meta-analysis [PDF]

open access: yesarXiv, 2013
Objectives: A series of meta-analyses assessed whether differentially efficacious variants (CAG and GGC repeat-length polymorphisms) of the human androgen receptor gene are associated with digit ratio (2D:4D), a widely investigated putative pointer to prenatal androgen action.
arxiv  

The androgen/androgen receptor axis in prostate cancer [PDF]

open access: yesCurrent Opinion in Oncology, 2012
The review highlights recently discovered mechanisms that sustain castration-resistant prostate cancer (CRPC) growth and describes advances in CRPC therapeutics.Recent reports have shed new light on the molecular processes underlying CRPC survival during androgen deprivation therapy (ADT).
Peter S. Nelson, Eric G. Bluemn
openaire   +3 more sources

Signalling pathways and gene expression profiles in prostate cancer [PDF]

open access: yes, 2011
In general, cancer, encompassing prostate cancer (PCa), is a disease that utilises signalling pathways to progress through the uncontrolled proliferation of cancerous cells. Although the mechanisms of how the cells evade intrinsic or extrinsic signals of
Edwards, J.   +2 more
core   +2 more sources

The Androgen Receptor in Breast Cancer

open access: yesFrontiers in Endocrinology, 2018
Breast cancer (BC) is a hormone-related tumor. Despite the progress in BC therapy, this disease still remains the most common cancer amongst women around the world. This is likely due to the amazing BC heterogeneity. Accumulating evidence suggests a role for androgen signaling in BC.
Giovannelli, Pia   +5 more
openaire   +4 more sources

Steroid Receptors and Vertebrate Evolution [PDF]

open access: yesarXiv, 2019
Considering that life on earth evolved about 3.7 billion years ago, vertebrates are young, appearing in the fossil record during the Cambrian explosion about 542 to 515 million years ago. Results from sequence analyses of genomes from bacteria, yeast, plants, invertebrates and vertebrates indicate that receptors for adrenal steroids (aldosterone ...
arxiv  

Effect of dihydrotestosterone on the expression of mucin 1 and the activity of Wnt signaling in mouse corneal epithelial cells [PDF]

open access: yesInternational Journal of Ophthalmology, 2016
AIM: To explore the effects of the androgen dihydrotestosterone on the expression of mucin 1 (MUC1) and the activity of Wnt signaling in mouse corneal epithelial cells.
Li Qin   +4 more
doaj   +1 more source

Amplification of the androgen receptor may not explain the development of androgen-independent prostate cancer [PDF]

open access: yes, 2001
Objective To examine the role of androgen receptor (AR) gene amplification and aneusomy of the X chromosome in the development of antiandrogen-resistant prostate cancer.
Bartlett, J.M.S.   +5 more
core   +1 more source

PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction [PDF]

open access: yesarXiv, 2018
In silico drug-target interaction (DTI) prediction is an important and challenging problem in biomedical research with a huge potential benefit to the pharmaceutical industry and patients. Most existing methods for DTI prediction including deep learning models generally have binary endpoints, which could be an oversimplification of the problem, and ...
arxiv  

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