ArticleMolecular & cellular proteomics : MCP2013
Proteomic analysis of temporally stimulated ovarian cancer cells for biomarker discovery.
Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Ubiquitination degradation of GATA4 by CUL4B promotes ovarian cancer metastasis by inducing lysosomal acidification.Genome biology · 2026Article
- Article
- Mass Spectrometric Analysis of Clomiphene Citrate-induced Changes in the Secretome Profile of PAX8-positive Human Fallopian Tube Secretory Epithelial Cells and Identification of Biomarkers Relevant to Reproduction and Pregnancy.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Comparative analysis of protein expression between oesophageal adenocarcinoma and normal adjacent tissue.PloS one · 2025Article
- Research on the effect of LAMP1 in the development and progression of ccRCC and its potential mechanism with LC3C-mediated autophagy.Frontiers in immunology · 2024Article
- Proteins differentially expressed during limonene biotransformation by Penicillium digitatum DSM 62840 were examined using iTRAQ labeling coupled with 2D-LC-MS/MS.Journal of industrial microbiology & biotechnology · 2016Article
- Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways.Scientific reports · 2016Article
- The metabolic regulation of sporulation and parasporal crystal formation in Bacillus thuringiensis revealed by transcriptomics and proteomics.Molecular & cellular proteomics : MCP · 2013Article
- Multi-parameter systematic strategies for predictive, preventive and personalised medicine in cancer.The EPMA journal · 2013Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
While ovarian cancer remains the most lethal gynecological malignancy in the United States, there are no biomarkers available that are able to predict therapeutic responses to ovarian malignancies. One major hurdle in the identification of useful biomarkers has been the ability to obtain enough ovarian cancer cells from primary tissues diagnosed in the early stages of serous carcinomas, the most deadly subtype of ovarian tumor. In order to detect ovarian cancer in a state of hyperproliferation, we analyzed the implications of molecular signaling cascades in the ovarian cancer cell line OVCAR3 in a temporal manner, using a mass-spectrometry-based proteomics approach. OVCAR3 cells were treated with EGF(1), and the time course of cell progression was monitored based on Akt phosphorylation and growth dynamics. EGF-stimulated Akt phosphorylation was detected at 12 h post-treatment, but an effect on proliferation was not observed until 48 h post-exposure. Growth-stimulated cellular lysates were analyzed for protein profiles between treatment groups and across time points using iTRAQ labeling and mass spectrometry. The protein response to EGF treatment was identified via iTRAQ analysis in EGF-stimulated lysates relative to vehicle-treated specimens across the treatment time course. Validation studies were performed on one of the differentially regulated proteins, lysosomal-associated membrane protein 1 (LAMP-1), in human tissue lysates and ovarian tumor tissue sections. Further, tissue microarray analysis was performed to demarcate LAMP-1 expression across different stages of epithelial ovarian cancers. These data support the use of this approach for the efficient identification of tissue-based markers in tumor development related to specific signaling pathways. LAMP-1 is a promising biomarker for studies of the progression of EGF-stimulated ovarian cancers and might be useful in predicting treatment responses involving tyrosine kinase inhibitors or EGF receptor monoclonal antibodies.
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