Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 2 versions
addClaim

Depicting CREB-Dependent Transcriptome in MCPyV+ and MCPyV- Merkel Cell Carcinoma Cells

Authors: Basdas, Rumeysa;

Depicting CREB-Dependent Transcriptome in MCPyV+ and MCPyV- Merkel Cell Carcinoma Cells

Abstract

Merkel Cell Carcinoma (MCC) is a highly malignant neuroendocrine tumor with an increasing incidence and the highest mortality rate amongst skin cancers (30%). They are usually diagnosed at advanced stages and still lack precise markers for diagnosis. MCC has two main etiologies: polyomavirus-positive (MCPyV+) and -negative (MCPyV-). MCPyV+ harbour integrated copies of viral DNA and low mutational index (MI 10), with a UV-mutational signature (60% C>T and 5% CC>TT). Treatments are based on surgery with adjuvant radiotherapy or chemotherapy, but MCCs still lack targeted therapies. Importantly, MCCs show up to 70% of ORR to immune-checkpoint inhibitors, independently of the tumor etiology. CREB is a transcription factor activated by AC-cAMP-PKA. In MCC, CREB is highly deregulated and constitutes a malignant mechanism shared between MCPyV+ and MCPyV- tumors (HR=6 in both). Here, CREB-mediated transcriptome analysis has been performed using forskolin (a natural AC activator) under normal or deficient CREB activities in MCPyV+ (using a pharmacological CREB inhibitor) and in MCPyV- cells (CREB knocked-down). Data show specific transcriptomes in response to forskolin under normal and impaired CREB contexts. Furthermore, we show and analyze genes commonly CREB-regulated, between MCPyV+ and MCPyV- cellular backgrounds and provide independent validation. These CREB-target genes could help to explain the malignant mechanisms driving MCCs from any etiology, and could lead to set-up specific molecular approaches for the diagnosis, develop novel targeted therapies or predict responses to immunotherapy.

Máster en Biología Molecular y Biomedicina

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 82
  • 82
    views
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
82
Green
Related to Research communities
Cancer Research