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Multimodality molecular imaging of CD105 (Endoglin) expression.

Authors: Yin, Zhang; Yunan, Yang; Hao, Hong; Weibo, Cai;

Multimodality molecular imaging of CD105 (Endoglin) expression.

Abstract

Since most solid tumor growth depends on angiogenesis, non-invasive imaging of tumor angiogenesis can allow for much earlier diagnosis and better prognosis of cancer, as well as more accurate treatment monitoring, which will eventually lead to personalized molecular medicine. CD105, also known as endoglin, is required for endo-thelial cell proliferation. The currently accepted standard method for quantifying tumor angiogenesis is to assess microvessel density based on CD105 staining, which has been shown to be an independent prognostic factor for survival in patients of almost all solid tumor types. In this review, we will summarize the progress to date on multimo-dality molecular imaging of CD105 expression during tumor angiogenesis which includes targeted contrast-enhanced ultrasound, molecular magnetic resonance, near-infrared fluorescence, single-photon emission computed tomography, and positron emission tomography. Although molecular imaging of CD105 expression is surprisingly understudied, non-invasive imaging of CD105 expression has already been achieved with every single molecular imaging modality. In the future, significant research effort should be directed towards non-invasive visualization of CD105 expression, such as quantitative imaging, the use of long-lived isotopes for antibody-based imaging, development of peptide, small molecule, or antibody fragment-based imaging agents, multimodality imaging of CD105 expression with a single agent, the application of nanotechnology, among others.

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    selected citations
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    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).
    44
    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 1%
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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!
44
Top 10%
Top 10%
Top 1%
gold
Related to Research communities
Cancer Research