MassIVE MSV000092953

Complete Public PXD045646

Proteomic analysis of PROSER2 overexpressing cells

Description

Pancreatic Ductal Adenocarcinoma (PDAC) is diagnosed at an advanced stage in around 70% of patients and has a dismal 5-year survival rate of less than 11%. This dismal prognosis arises not only due to the absence of diagnostic markers and molecular targets but also due to its aggressive metastatic characteristics. In this research, we took a departure from conventional proteomic studies to identify new molecular targets for pancreatic cancer. We chose uPE1 from an extensive pancreatic cancer proteomic research database and focused our investigation on Proline and Serine Rich 2 (PROSER2), a protein that ranked high in both the cell membrane and cytoplasm. While PROSER2 has been reported to be associated with tumor progression, its exact function remained unclear. In our study using cell lines and patient-derived cells, PROSER2 exhibited a higher expression pattern primarily in cells derived from primary tumors compared to those from metastatic tissues. Overexpression of PROSER2 significantly reduced the metastatic ability of cancer cells, whereas its suppression had the opposite effect. Through proteomic analysis, we discovered that PROSER2 interacts with STK25 and PDCD10, proteins associated with cancer metastatic signaling, and this interaction was confirmed in PROSER2-overexpressing MIAPACA-2 cells. Immunocytochemistry in patient-derived xenograft (PDOX) cells further verified the co-localization of endogenous PROSER2 with STK25 and PDCD10 in the cell membrane and cytoplasm. Taken together, this study is the first to describe the novel role of PROSER2 in antagonizing invasion and proliferation. [doi:10.25345/C5FJ29P9V] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Cholangiocarcinoma, Human Proteome Project, LC-MS/MS

Contact

Principal Investigators:
(in alphabetical order)
Heeyoun Hwang, Korea Basic Science Institute, Rep of Korea
Submitting User: yangyj
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Experimental Design
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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