ArticleProteomics. Clinical applications2008
Comparative proteomic analysis of low stage and high stage endometrioid ovarian adenocarcinomas.
Article in Proteomics. Clinical applications, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Potential of platinum-resensitization by Wnt signaling modulators as treatment approach for epithelial ovarian cancer.Journal of cancer research and clinical oncology · 2020Article
- Mass spectrometry-based proteomics techniques and their application in ovarian cancer research.Journal of ovarian research · 2018Review
- Phosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer.Cell reports · 2017Article
- Effect of targeted silencing of IL-8 onOncology letters · 2017Article
- Wnt5a Signaling in Normal and Cancer Stem Cells.Stem cells international · 2017Review
- Wnt5a Signaling in Cancer.Cancers · 2016Review
- WNT7A regulates tumor growth and progression in ovarian cancer through the WNT/β-catenin pathway.Molecular cancer research : MCR · 2012Article
- Breast and ovarian cancers: a survey and possible roles for the cell surface heparan sulfate proteoglycans.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2012Review
- MALDI Imaging Mass Spectrometry (MALDI-IMS)-application of spatial proteomics for ovarian cancer classification and diagnosis.International journal of molecular sciences · 2011Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Ovarian cancer, the second most common gynecological malignancy, accounts for 3% of all cancers among women in the United States, and has a high mortality rate, largely because existing therapies for widespread disease are rarely curative. Ovarian endometrioid adenocarcinoma (OEA) accounts for about 20% of the overall incidence of all ovarian cancer. We have used proteomics profiling to characterize low stage (FIGO stage 1 or 2) versus high stage (FIGO stage 3 or 4) human OEAs. In general, the low stage tumors lacked p53 mutations and had frequent CTNNB1, PTEN, and/or PIK3CA mutations. The high stage tumors had mutant p53, were usually high grade, and lacked mutations predicted to deregulate Wnt/β-catenin and PI3K/Pten/Akt signaling. We utilized 2-D liquid-based separation/mass mapping techniques to elucidate molecular weight and pI measurements of the differentially expressed intact proteins. We generated 2-D protein mass maps to facilitate the analysis of protein expression between both the low stage and high stage tumors. These mass maps (over a pI range of 5.6-4.6) revealed that the low stage OEAs demonstrated protein over-expression at the lower pI ranges (pI 4.8-4.6) in comparison to the high stage tumors, which demonstrated protein over-expression in the higher pI ranges (pI 5.4-5.2). These data suggest that both low and high stage OEAs have characteristic pI signatures of abundant protein expression probably reflecting, at least in part, the different signaling pathway defects that characterize each group. In this study, the low stage OEAs were distinguishable from high stage tumors based upon the proteomic profiles. Interestingly, when only high-grade (grade 2 or 3) OEAs were included in the analysis, the tumors still tended to cluster according to stage, suggesting that the altered protein expression was not solely dependent upon tumor cell differentiation. Further, these protein profiles clearly distinguish OEA from other types of ovarian cancer at the protein level.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.