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World Journal of Surgical Oncology
Published in: World Journal of Surgical Oncology 1/2019

Open Access 01-12-2019 | Metastasis | Research

Over-expression of Nav1.6 channels is associated with lymph node metastases in colorectal cancer

Authors: Shuiquan Lin, Yangbo Lv, Jianguang Xu, Xinglong Mao, Zhenhong Chen, Wuguang Lu

Published in: World Journal of Surgical Oncology | Issue 1/2019

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Abstract

Background and objectives

Lymph node metastasis is a key factor in predicting and determining the prognosis of patients with colorectal cancer (CRC). Sodium channels are highly expressed in a variety of tumors and are closely related to tumor development, metastasis, and invasion. We investigated the relationship between the expressions of different subtypes of Nav channels and lymph node metastasis of CRC.

Methods

Real-time PCR (RT-qPCR) was carried out to measure the expressions of different sodium channel subtypes, chemokine receptors (CCR2, CCR4, CCR7), and lymphocyte infiltration-related biomarkers (CD3e, CD8a, IL-2RA) in CRC tissues from 97 patients. The expressions of Nav1.5 and Nav1.6 in surgically isolated lymph nodes were detected by immunohistochemistry. Correlation analysis between expressions of different genes and lymph node metastasis was performed by two-tailed t test.

Results

Nav1.1 and Nav1.6 were highly expressed in CRC tissues and positively correlated with CRC lymph node metastasis. Nav1.6 was also highly expressed in metastatic lymph nodes. Further analysis showed that the high expression of Nav1.6 was closely related to the one of CCR2\CCR4 in tumor lymph node metastasis.

Conclusions

These results suggested that Nav1.6 might be a novel marker for CRC lymph node metastasis.
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Metadata
Title
Over-expression of Nav1.6 channels is associated with lymph node metastases in colorectal cancer
Authors
Shuiquan Lin
Yangbo Lv
Jianguang Xu
Xinglong Mao
Zhenhong Chen
Wuguang Lu
Publication date
01-12-2019
Publisher
BioMed Central
Published in
World Journal of Surgical Oncology / Issue 1/2019
Electronic ISSN: 1477-7819
DOI
https://doi.org/10.1186/s12957-019-1715-4

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