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Biomarkers of pituitary neoplasms.

Authors: Aydin, Sav; Fabio, Rotondo; Luis V, Syro; Bernd W, Scheithauer; Kalman, Kovacs;

Biomarkers of pituitary neoplasms.

Abstract

In a wide spectrum of tumors, cell proliferation, vascularity, apoptosis, cell adhesion, and cell-cycle progression may indicate tumor progression. In this review article, the literature regarding apoptotic markers and p53, as well as cyclooxygenase-2, galectin-3, and pituitary tumor-transforming factor, proliferative markers, angiogenesis, including vascular endothelial growth factor and its receptor, pituitary tumor-transforming gene, microarrays, stem cells, and microenvironment and tumor heterogeneity are presented. Only a particular group of selected biomarkers show promise in differentiating pituitary tumors which will behave in an aggressive manner. Therefore, the most common and promising biomarkers and terms were analyzed, proposing the need for uniform design and application of methods and standardized criteria for the interpretation of results. The new spectrum of biomarkers may shed light upon the pathogenetic mechanisms and also may serve as standardized diagnostic tool for daily pathologic practice.

Related Organizations
Keywords

Biomarkers, Tumor, Humans, Pituitary Neoplasms

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    influence
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Average
Top 10%
Top 10%
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