Searching across hundreds of databases
This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.
This study aims to identify and analyze the risk factors associated with Cervical Lymph Node Metastasis (CNM) in Papillary Thyroid Carcinoma (PTC) patients.
Background & aims: VEGFR-3 has been shown of great significance in lymph node metastasis and some malignancies, however, its expression in tumors and impact on outcome of intrahepatic cholangiocarcinoma (iCCA) remains unknown. The aim of this study was to assess the role of VEGFR-3 positive tumors for prognosis of iCCA and tumor-associated lymphangiogenesis. Methods: Clinicopathological features, prognostic factors and survival rate were analyzed to evaluate the influence of VEGFR-3 positive expression on prognosis of iCCA. In addition, tumor-associated lymphangiogenesis quantified as micro-lymphatic vessel density (MLVD) was assessed to explore the correlation between VEGFR-3 expression and lymph node metastasis for iCCA. Results: Patients with VEGFR-3 positive tumors had increased lymph node metastasis (p=0.025) and were more likely to suffer from tumor recurrence compared with VEGFR-3 negative tumors (p<0.001). VEGFR-3 expression in tumors was identified as an independent prognostic factor for both overall and recurrence-free survival in surgical resected patients with iCCA. In addition, higher MLVD was significantly associated with VEGFR-3 positive expression in tumors (p<0.001), which facilitate lymph node metastasis and significantly worse survival rates. Conclusions: Our study reveals that VEGFR-3 positive expression in tumors represents an independent prognostic factor for both overall and recurrence-free survival in hepatic resected patients with iCCA. VEGFR-3 positive tumors favor lymph node metastasis, tumor recurrence and worse outcomes through tumor-associated lymphangiogenesis.
Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter your papers by.
From here we'll present any options for the literature, such as exporting your current results.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Year:
Count:
The SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
scicrunch.org
