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Biobehavioral modulation of the exosome transcriptome in ovarian carcinoma
Cancer, 2018-02, Vol.124 (3), p.580-586
Lutgendorf, Susan K.
Thaker, Premal H.
Arevalo, Jesusa M.
Goodheart, Michael J.
Slavich, George M.
Sood, Anil K.
Cole, Steve W.
2018
Details
Autor(en) / Beteiligte
Lutgendorf, Susan K.
Thaker, Premal H.
Arevalo, Jesusa M.
Goodheart, Michael J.
Slavich, George M.
Sood, Anil K.
Cole, Steve W.
Titel
Biobehavioral modulation of the exosome transcriptome in ovarian carcinoma
Ist Teil von
Cancer, 2018-02, Vol.124 (3), p.580-586
Ort / Verlag
United States: Wiley Subscription Services, Inc
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
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 β‐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 β‐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;124:580‐6. © 2017 American Cancer Society. This study leverages transcriptome profiling of exosomes to investigate relations between the social support level of the patient and his or her tumor biology. Primary analyses have identified significant upregulation of 67 mesenchymal‐characteristic gene transcripts and downregulation of 63 epithelial characteristic transcripts in patients with low levels of social support, and this demonstrates decreased epithelial‐mesenchymal transition polarization in this group.
Sprache
Englisch
Identifikatoren
ISSN: 0008-543X
eISSN: 1097-0142
DOI: 10.1002/cncr.31078
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5780197
Format
–
Schlagworte
Adenosine
,
Adenosine kinase
,
Adenosine monophosphate
,
Adult
,
AMP
,
biobehavioral
,
Bioinformatics
,
Biological effects
,
Biology
,
Biomarkers
,
Cancer
,
Catecholamines
,
Cyclic AMP response element-binding protein
,
Cyclic AMP Response Element-Binding Protein - physiology
,
DNA microarrays
,
Epithelial-Mesenchymal Transition
,
Exosomes
,
Female
,
Gene expression
,
Humans
,
In vivo methods and tests
,
Inflammation
,
Kinases
,
Mesenchyme
,
Middle Aged
,
NF-kappa B - physiology
,
Oncology
,
Ovarian cancer
,
Ovarian carcinoma
,
Ovarian Neoplasms - genetics
,
Ovarian Neoplasms - pathology
,
Patients
,
Polarization
,
Protein folding
,
Protein kinase A
,
Ribonucleic acid
,
RNA
,
Signal transduction
,
Signaling
,
Social factors
,
Social interactions
,
Social Support
,
Surgery
,
Transcription factors
,
Transcriptome
,
Tumor cells
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