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Prognostic Signature for Pancreatic Cancer: Are We Close?

Authors: Jen Jen, Yeh;

Prognostic Signature for Pancreatic Cancer: Are We Close?

Abstract

Pancreatic cancer is a deadly disease with an annual incidence rate nearly equal to its mortality rate. Incremental improvement in outcome has been seen in the last 25 years, illustrating the critical need for novel approaches and intensive research investment. Expression profiling of pancreatic cancers has led to an explosion of informative gene-expression changes and the identification of new diagnostic and prognostic markers. However, the search for genes that are of functional significance in these large datasets continues to be much more challenging. One approach to focusing on genes or pathways that are likely to be more biologically relevant is to study those that are of prognostic significance. This review will therefore focus on the advantages of a prognostic gene signature for pancreatic cancer, the advances that have been made thus far, the approaches used and the challenges that remain.

Keywords

Pancreatic Neoplasms, Gene Expression Profiling, Biomarkers, Tumor, Humans, Prognosis, Carcinoma, Pancreatic Ductal

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
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!
12
Average
Average
Top 10%
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