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pmid:34888227

Epiphycan Predicts Poor Outcomes and Promotes Metastasis in Ovarian Cancer.

Lu Deng · Dandan Wang · Shouzhen Chen · Weiguo Hu · Ru Zhang

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.653782

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Epiphycan Predicts Poor Outcomes and Promotes Metastasis in Ovarian Cancer.
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10.3389/fonc.2021.653782
pmid
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Lu Deng
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Dandan Wang
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Shouzhen Chen
[3]
Weiguo Hu
[4]
Ru Zhang
journal
Frontiers in oncology
year
2021
abstract
The small leucine-rich proteoglycan (SLRP) family is widely expressed in extracellular matrix and aggravates tumor progression. However, epiphycan (EPYC), as a member of the SLRPs family, its biological function in cancer has not been confirmed. Thus, we aimed to clarify the role of EPYC in progression of ovarian cancer (OC), and further analyze the molecular mechanisms implicated in tumorigenesis. Here, we analyzed the differential expression genes of GSE38734, including 4 matched primary OC and metastatic tissues. We obtained OC RNAseqs data from the Cancer Genome Atlas (TCGA) and analyzed the correlation between EPYC expression and OC staging, pathological grading, etc. The expression of EPYC in OC and normal ovarian tissues was compared in Oncomine website. We used siRNAs to interfere the expression of EPYC in ovarian cancer cell line SKOV3. Scratch test, transwell-matrigel chamber, CCK8 assay were used to detect the changes of SKOV3 migration, invasion and proliferation ability after EPYC was interfered. We used R software to make GO and KEGG analysis of related genes of EPYC. We used the Hitpredict website to predict interacting proteins. The results showed that the expression of EPYC in metastatic ovarian cancer was higher than primary ovarian cancer, and that in primary cancer was higher than normal ovaries. After siRNA interferes with EPYC expression, the migration, invasion and proliferation of SKOV3 cells were weakened. EPYC mainly played a role in ECM organization, and involved in PI3K/Akt, focal adhesion signaling pathways. EPYC might interact with PLCG2 and CRK, and be involved in signal transduction.
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cancer was higher than normal ovaries. After siRNA interferes with EPYC expression, the migrati
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