Dataset Information

CSGALNACT2 Restricts Ovarian Cancer Migration and Invasion by Modulating MAPK/ERK Pathway through DUSP1

ABSTRACT: Abstract Purpose Ovarian cancer is one of the leading causes of cancer-related death among women. CSGALNACT2 is a vital Golgi transferase and is related to a variety of human diseases. However, its expression pattern and function in ovarian cancer remain uncertain. Methods The Cancer Genome Atlas and GEPIA databases were used to assess the expression of CSGALNACT2 in ovarian cancer patients. RNA-seq, qRT-PCR, and IHC were used to verify the expression of CSGALNACT2 in ovarian cancer tissues. Then, in vivo and in vitro experiments were conducted to evaluate the role of CSGALNACT2 in the progression of ovarian cancer. RNA-seq and GSEA were used to reveal the potential biological function and oncogenic pathways of CSGALNACT2. Results We demonstrated that the mRNA expression and protein level of CSGALNACT2 were significantly downregulated in ovarian cancer and ovarian cancer metastatic tissues. CSGALNACT2 can significantly inhibit the migration, invasion, and clonogenic growth of ovarian cancer in vitro and is progressively lost during ovarian cancer progression in vivo. CSGALNACT2 suppresses ovarian cancer migration and invasion via DUSP1 modulation of the MAPK/ERK pathway through RNA-seq, KEGG analysis, and Western blotting. Moreover, CSGALNACT2 expression was correlated with immune cell infiltration and had prognostic value in different immune cell-enriched or decreased ovarian cancer. In addition, patients with CSGALNACT2 downregulation are less likely to benefit from immunotherapy. Conclusion As an ovarian cancer suppressor gene, CSGALNACT2 inhibits the development of ovarian cancer, and it might be used as a prognostic biomarker in patients with ovarian cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE246892 | GEO | 2023/12/28

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Ovarian cancer is the fifth most common form of cancer in women in the United States. Among different types of ovarian cancer, epithelial ovarian cancer is the most common and is highly lethal, however, prognostic and predictive markers, which can be used to predict chemoresponse and patient survival, have not been thoroughly explored. One critically important yet often overlooked component to the tumor progression process is the tumor microenvironment. Primarily composed of fibroblasts and extracellular matrix proteins (ECM) as well as endothelial cells and lymphocytic infiltrate, the tumor microenvironment has been shown to directly affect cell growth, migration, and differentiation through secreted proteins, cell-cell interactions and matrix remodeling (Tlsty and Coussens, 2006). The tumor microenvironment has the potential to promote tumor initiation of normal epithelial cells and facilitate progression of malignant cells, thereby, presenting a unique approach to diagnosing, understanding and treating cancer. Using a whole-genome oligonucleotide array platform to perform transcriptome profiling on the fibroblastic stromal component microdissected from a series of advanced stage high-grade serous ovarian adenocarcinomas, we identified a transcriptome signature for the ovarian cancer associated fibroblast (CAF). We further functionally characterized one of the identified genes, MFAP5, and we showed that stromal MFAP5 is a prognostic marker associated with poor patient survival. In addition to that, to investigate the signaling machanism and the effect of MFAP5 treatment on ovarian cancer cells, transcriptome profiling of MFAP5 treated OVCA432 high-grade serous ovarian cancer cells was performed. Further functional studies showed that stromal MFAP5 modulated ovarian cancer cell motility and invasion potential. High grade serous ovarian cancer cell line OVCA432 was used. Total RNA was isolated from control samples and MFAP5 treated cancer cell samples at 48 hours post-treatment. Followed by cDNA synthesis, IVT and biotin labeling, samples were then hybridized onto Affymetrix Human genome U133 plus 2.0 microarrays. For each treatment group, three independent samples were prepared for the microarray experiment.

Dataset Information

CSGALNACT2 Restricts Ovarian Cancer Migration and Invasion by Modulating MAPK/ERK Pathway through DUSP1

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure