Biobehavioral modulation of the exosome transcriptome in ovarian carcinoma.
Cancer
; 124(3): 580-586, 2018 02 01.
Article
em En
| MEDLINE
| ID: mdl-29112229
ABSTRACT
BACKGROUND:
Social factors in the patient macroenvironment have been shown to influence molecular events in the tumor microenvironment and thereby influence cancer progression. However, biomarkers providing a window into the longitudinal effects of biobehavioral factors on tumor biology over time are lacking. Exosome analysis is a novel strategy for in vivo monitoring of dynamic changes in tumor cells. This study examined exosomal profiles from patients with low or high levels of social support for epithelial-mesenchymal transition (EMT) polarization and gene expression related to inflammation and ß-adrenergic signaling.METHODS:
Exosomes were isolated from plasma sampled from a series of 40 women before primary surgical resection of advanced-stage, high-grade ovarian carcinoma. Samples were selected for analysis on the basis of extremes of low and high levels of social support. After exosomal isolation and RNA extraction, a microarray analysis of the transcriptome was performed.RESULTS:
Primary analyses identified significant upregulation of 67 mesenchymal-characteristic gene transcripts and downregulation of 63 epithelial-characteristic transcripts in patients with low social support; this demonstrated increased EMT polarization (P = .0002). Secondary analyses using promoter sequence bioinformatics supported a priori hypotheses linking low social support to 1) increased activity of cyclic adenosine monophosphate response element binding protein (CREB)/activating transcription factor (ATF) family transcription factors that mediate the ß-adrenergic response to catecholamines via the cyclic adenosine monophosphate/protein kinase A signaling pathway (mean fold change for CREB 2.24 ± 0.65; P = .0019; mean fold change for ATF 2.00 ± 0.55; P = .0049) and 2) increased activity of the proinflammatory nuclear factor κB/Rel family of transcription factors (mean fold change 2.10 ± 0.70; P = .0109).CONCLUSIONS:
These findings suggest the possibility of leveraging exosomes as a noninvasive assessment of biobehavioral factors to help to direct personalized treatment approaches. Cancer 2018;124580-6. © 2017 American Cancer Society.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Ovarianas
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Exossomos
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Transcriptoma
Tipo de estudo:
Prognostic_studies
Limite:
Adult
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Female
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Humans
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article