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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Best Practice & Rese...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Best Practice & Research Clinical Gastroenterology
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The natural history of adenomas

Authors: Mauro, Risio;

The natural history of adenomas

Abstract

It is well known that adenomas represent the morphologically categorised precursor of the vast majority of colorectal cancers. Only few adenomas actually develop invasive cancer (progressive adenomas), although every adenoma has the capacity of malignant evolution. Most adenomas stabilise their progression or even regress. Easily identifiable but widely ranged pathological features (size, architectural growth, type, grade and gross organisation of dysplasia) are predictive of their natural history in terms of potential of cancerisation and duration of the adenoma-carcinoma sequence. Knowledge of the biological machineries sustaining the progression rates and times could be crucial to refine the natural history assumptions in screening modelling.

Keywords

Adenoma, Cell Transformation, Neoplastic, Phenotype, Carcinoma, Disease Progression, Humans, Neoplasm Invasiveness, Colorectal Neoplasms, Precancerous Conditions

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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
57
Top 10%
Top 10%
Top 10%
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Cancer Research
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