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Tumor-induced VEGF-C overexpression in retroperitoneal lymph nodes in VX2 carcinoma-bearing rabbits

Overview of attention for article published in Drug Design, Development and Therapy, November 2015
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Title
Tumor-induced VEGF-C overexpression in retroperitoneal lymph nodes in VX2 carcinoma-bearing rabbits
Published in
Drug Design, Development and Therapy, November 2015
DOI 10.2147/dddt.s89810
Pubmed ID
Authors

Yong-Wen Huang, Yun Zhou, Chun-Yan Lan, Yin Wang, Yan-Ling Feng, Rong-Zhen Luo, Ji-Hong Liu

Abstract

To establish the retroperitoneal lymph node (RLN) metastasis model of cervical carcinoma in rabbits and evaluate the relationship of vascular endothelial growth factor-C (VEGF-C) expression and the lymph node status. Forty-eight rabbits were injected with VX2 cells or RPMI solution at muscular mucosae of the myometrium 0.5 cm away from the cervix. Animals were treated with or without cis-diamminedichloroplatinum(II) (cisplatin: DDP) and sacrificed on days 15, 21, and 27 post-VX2 or RPMI injections. Tumor mass and RLNs were examined histopathologically. Quantitative real-time PCR was used to examine the changes in VEGF-C mRNA expression. Levels of VEGF-C protein expression in tissues were determined using immunohistochemistry staining. Development of VX2 cervical carcinoma and the RLNs metastasis was confirmed with pathological examination. Significantly increased tumor volume was observed on days 15, 21, and 27 postinjection (P<0.05). The enlargement of RLNs was found on day 21. Expression of VEGF-C was significantly upregulated in peripheral white blood cells, tumor mass, and RLNs in an association with cancer progression. DDP resulted in a suppression of VEGF-C expression, whereas the influences on tumor mass and lymphatic metastasis were insignificant. Elevated VEGF-C expressions in peripheral white blood cells and RLNs are associated with tumor progression and lymphatic metastasis. DDP treatment inhibits VEGF-C expression and fails to protect against metastatic cervical cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 17%
Student > Bachelor 2 17%
Unspecified 1 8%
Lecturer > Senior Lecturer 1 8%
Professor 1 8%
Other 2 17%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 5 42%
Biochemistry, Genetics and Molecular Biology 2 17%
Unspecified 1 8%
Engineering 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2015.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from Drug Design, Development and Therapy
#1,416
of 2,254 outputs
Outputs of similar age
#216,306
of 295,288 outputs
Outputs of similar age from Drug Design, Development and Therapy
#68
of 101 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.