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British Journal of Cancer
Article
License: CC BY NC SA
Data sources: UnpayWall
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PubMed Central
Other literature type . 2008
License: CC BY
Data sources: PubMed Central
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British Journal of Cancer
Article . 2008 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Expression of SDF-1α and nuclear CXCR4 predicts lymph node metastasis in colorectal cancer

Authors: Yoshitake, N; Fukui, H; Yamagishi, H; Sekikawa, A; Fujii, S; Tomita, S; Ichikawa, K; +3 Authors

Expression of SDF-1α and nuclear CXCR4 predicts lymph node metastasis in colorectal cancer

Abstract

Although stromal cell-derived factor (SDF)-1 alpha and its receptor CXCR4 are experimentally suggested to be involved in tumorigenicity, the clinicopathological significance of their expression in human disease is not fully understood. We examined SDF-1 alpha and CXCR4 expression in colorectal cancers (CRCs) and their related lymph nodes (LNs), and investigated its relationship to clinicopathological features. Specimens of 60 primary CRCs and 27 related LNs were examined immunohistochemically for not only positivity but also immunostaining patterns for SDF-1 alpha and CXCR4. The relationships between clinicopathological features and SDF-1 alpha or CXCR4 expression were then analysed. Stromal cell-derived factor-1 alpha and CXCR4 expression were significantly associated with LN metastasis, tumour stage, and survival of CRC patients. Twenty-nine of 47 CXCR4-positive CRCs (61.7%) showed clear CXCR4 immunoreactivity in the nucleus and a weak signal in the cytoplasm (nuclear type), whereas others showed no nuclear immunoreactivity but a diffuse signal in the cytoplasm and at the plasma membrane (cytomembrane type). Colorectal cancer patients with nuclear CXCR4 expression showed significantly more frequent LN metastasis than did those with cytomembrane expression. Colorectal cancer patients with nuclear CXCR4 expression in the primary lesion frequently had cytomembrane CXCR4-positive tumours in their LNs. In conclusion, expression of SDF-1 alpha and nuclear CXCR4 predicts LN metastasis in CRCs.

Related Organizations
Keywords

Adult, Aged, 80 and over, Male, Receptors, CXCR4, Blotting, Western, Middle Aged, Immunohistochemistry, Survival Analysis, Chemokine CXCL12, Gene Expression Regulation, Neoplastic, Lymphatic Metastasis, Multivariate Analysis, Biomarkers, Tumor, Humans, Female, Lymph Nodes, Colorectal Neoplasms, Molecular Diagnostics, Aged, Neoplasm Staging, Proportional Hazards Models

  • BIP!
    Impact byBIP!
    citations
    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).
    128
    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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citations
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!
128
Top 10%
Top 10%
Top 1%
Green
hybrid
Related to Research communities
Cancer Research