| Title |
NanoVelcro-captured CTC number concomitant with enhanced serum levels of MMP7 and MMP9 enables accurate prediction of metastasis and poor prognosis in patients with lung adenocarcinoma
|
|---|---|
| Published in |
International Journal of Nanomedicine, August 2017
|
| DOI | 10.2147/ijn.s144033 |
| Pubmed ID | |
| Authors |
Yu Sun, Yangshan Chen, Shuhua Li, Yiyan Lei, Di Xu, Neng Jiang, Yang Zhang, Jessica Cao, Zunfu Ke |
| Abstract |
Lung adenocarcinoma (LADC) is among the most malignant cancers that frequently develops micrometastases even in early stages of the disease. Circulating tumor cell (CTC) number, matrix metalloproteinase (MMP) 7, and MMP9 show great prospects as predictive biomarkers in many tumors. However, the interactions between these biomarkers and the molecular basis of their roles in the metastasis and prognosis of LADC remain unclear. The present study revealed that an elevated CTC count and overexpression of MMP7 and MMP9 correlate with metastasis and clinical progression in LADC patients (n=143). Furthermore, MMP7 and MMP9 upregulation facilitates LADC cell migration in vitro and enhances serum CTC levels in a xenograft mouse model. More importantly, receiver operating characteristic (ROC) curves and Kaplan-Meier analysis confirmed more accurate prediction of metastasis and overall survival (OS) with a combination panel of CTC, MMP7, and MMP9. Taken together, our data show, for the first time, the involvement of MMP7 and MMP9 in the release of CTCs into the peripheral blood, and our data reveal that CTC count and expression of MMP7 and MMP9 can be used together as an effective clinical prediction panel for LADC metastasis and prognosis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| Student > Master | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 33% |
| Agricultural and Biological Sciences | 2 | 17% |
| Veterinary Science and Veterinary Medicine | 1 | 8% |
| Unknown | 5 | 42% |
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 01 September 2017.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#2,965
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Outputs of similar age
#238,879
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Outputs of similar age from International Journal of Nanomedicine
#72
of 99 outputs
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