ArticleBritish journal of cancer2013
Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers.
Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Article
- Influence of Aldehyde Dehydrogenase Inhibition on Stemness of Endometrial Cancer Stem Cells.Cancers · 2024Article
- STK4 protein expression pattern follows different trends in endometrioid and serous endometrial adenocarcinoma upon tumor progression.Scientific reports · 2022Article
- Two Cases of Endometrial Cancer in Twin Sisters with Myotonic Dystrophy.Case reports in obstetrics and gynecology · 2016Article
- PKN1 modulates TGFβ and EGF signaling in HEC-1-A endometrial cancer cell line.OncoTargets and therapy · 2014Article
- Upregulation of PKN1 as a Prognosis Biomarker for Endometrial Cancer.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe individual features of tumours are often disregarded in cohort studies. As these features may represent a source for individualised cancer treatment, it is important to develop a novel approach for their assessment.
methodsWe used proteomics, systems biology, and immunohistochemistry to explore protein expression in human endometrial tumours, to identify deregulated regulatory mechanisms, and to validate observed changes in protein expression using tissue microarrays.
resultsCompared with the evaluation of common tumour features, the evaluation of individual tumour features gave a more comprehensive and detailed overview of the regulatory processes in endometrial tumours. Systemic analysis of the individual proteome profiles showed that endometrial tumours employed different proteins to regulate similar functions. Comparison of our data with publicly available data sets of molecular profiling of human endometrial tumours confirmed that individual tumour features are not simply irrelevant individual variations, but are indeed important in endometrial tumorigenesis. Validation through tissue microarray investigation of MST1 and PKN1 proteins confirmed the usefulness of this approach, and suggested that MST1 and PKN1 may be considered as predictive biomarkers of endometrial cancer.
conclusionWe show that individualised profiling of endometrial tumours may deliver better insights into a tumour's physiology, thereby giving a better prediction of tumour development. Individual tumour features may also be used to tailor cancer treatment.
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