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Depressive Symptoms and Cortisol Rhythmicity Predict Survival in Patients with Renal Cell Carcinoma: Role of Inflammatory Signaling

Overview of attention for article published in PLOS ONE, August 2012
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Title
Depressive Symptoms and Cortisol Rhythmicity Predict Survival in Patients with Renal Cell Carcinoma: Role of Inflammatory Signaling
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042324
Pubmed ID
Authors

Lorenzo Cohen, Steven W. Cole, Anil K. Sood, Sarah Prinsloo, Clemens Kirschbaum, Jesusa M. G. Arevalo, Nicholas B. Jennings, Shellie Scott, Luis Vence, Qi Wei, Diane Kentor, Laszlo Radvanyi, Nizar Tannir, Eric Jonasch, Pheroze Tamboli, Louis Pisters

Abstract

Evidence has supported the association between psychological factors and cancer biology; however, findings are equivocal on the role of psychosocial factors in cancer progression. This study generates a hypothesis of mechanistic variables by examining the clinical effects of psychosocial factors and cortisol dysregulation in patients with metastatic renal cell carcinoma (RCC) and examines associated activation of transcription control pathways.

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X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 1%
Germany 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 136 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 15%
Student > Ph. D. Student 21 14%
Student > Master 18 12%
Student > Bachelor 13 9%
Student > Doctoral Student 11 8%
Other 33 23%
Unknown 27 19%
Readers by discipline Count As %
Medicine and Dentistry 39 27%
Psychology 27 19%
Agricultural and Biological Sciences 10 7%
Neuroscience 9 6%
Nursing and Health Professions 6 4%
Other 18 12%
Unknown 36 25%