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Prognostic Alternative Splicing Signatures in Esophageal Carcinoma

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Review 01 Jun 2021 South Africa English Publisher:Informa UK LimitedJournal:Cancer Management and Research, volume Volume 13, pages 4,509-4,527 (eissn: 1179-1322, Copyright policy )
Authors: Zodwa Dlamini; Rodney Hull; Sikhumbuzo Z Mbatha; Mohammed Alaouna; You-Lin Qiao; Herbert Yu; Aristotelis Chatziioannou;

doi: 10.2147/cmar.s305464

pmid: 34113176

pmc: PMC8186946

handle: 2263/81754

Prognostic Alternative Splicing Signatures in Esophageal Carcinoma

Abstract

Alternative splicing (AS) is a method of increasing the number of proteins that the genome is capable of coding for, by altering the pre-mRNA during its maturation. This process provides the ability of a broad range of proteins to arise from a single gene. AS events are known to occur in up to 94% of human genes. Cumulative data have shown that aberrant AS functionality is a major factor in human diseases. This review focuses on the contribution made by aberrant AS functionality in the development and progression of esophageal cancer. The changes in the pattern of expression of alternately spliced isoforms in esophageal cancer can be used as diagnostic or prognostic biomarkers. Additionally, these can be used as targets for the development of new treatments for esophageal cancer.

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South Africa
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Keywords

Esophageal squamous cell carcinoma, Splice variants, Cancer Management and Research, Therapeutic targets, Review, Adenocarcinoma, Cell surface receptors, Biomarkers, Alternative splicing

  • BIP!
    Impact byBIP!
    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).
    		 4
    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).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
4
Top 10%
Average
Average
Green
gold
Related to Research communities
Knowmad Institut
Cancer Research