Aminopeptidase-N (CD13) is an important target of tumor vasculature-targeting drugs. The authors investigated its expression by immunohistochemistry with three anti-CD13 monoclonal antibodies (WM15, 3D8, and BF10) in normal and pathological human tissues, including 58 normal, 32 inflammatory, and 149 tumor tissue specimens. The three antibodies stained vessels in most neoplastic tissues, interestingly with different patterns. As a matter of fact, WM15 stained almost all intratumor and peritumor capillaries and only partially large vessels, whereas BF10 and 3D8 reacted with arteries and venules and to a lesser extent with capillaries. These antibodies also stained the stroma in about half of neoplastic tissues. In inflammatory lesions, the three antibodies stained vessels and stroma, whereas in normal tissues, they stained a small percentage of blood vessels. Finally, the three antibodies failed to stain endothelial cells of normal colon, whereas they reacted with activated human umbilical vein endothelial cells and with endothelial cells of colon adenocarcinoma vessels. Overall, WM15 was the most specific antibody for angiogenic tumor vessels, suggesting that it may be a good tool for detecting the CD13 form associated with the tumor vasculature. This finding may be relevant for CD13-mediated vascular targeting therapies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201120PMC
http://dx.doi.org/10.1369/jhc.2010.956644DOI Listing

Publication Analysis

Top Keywords

neoplastic tissues
12
three antibodies
12
antibodies stained
12
endothelial cells
12
stained vessels
8
vessels
7
tissues
5
antibodies
5
stained
5
enhanced expression
4

Similar Publications

Long noncoding RNAs (lncRNAs) are key regulators during gastric cancer (GC) development and may be viable treatment targets. In the present study, we showed that the expression of the long intergenic noncoding RNA 01016 (LINC01016) is significantly higher in GC tissues with lymph node metastasis (LNM) than those without LNM. LINC01016 overexpression predicts a poorer relapse-free survival (RFS) and overall survival (OS).

View Article and Find Full Text PDF

Diagnostic Feasibility of Cardiac PET CT in the Evaluation of Inflammatory, Infectious, and Malignant Heart Disease.

R I Med J (2013)

February 2025

Alpert Medical School of Brown University, Department of Medicine, Division of Cardiology, Rhode Island Hospital.

Cardiac Positron Emission Tomography (PET) is a power- ful imaging tool with diverse applications in the detection and diagnosis of various cardiac conditions, including inflammatory, infectious, and neoplastic processes. Using the radiotracer 18F-fluorodeoxyglucose (18F-FDG), cardiac PET enables the identification of cardiac involvement in diseases such as sarcoidosis and severe infections affecting the heart tissue. Additionally, 18F-FDG PET is valuable in the evaluation of cardiac masses, helping to assess their metabolic activity and potential malignancy.

View Article and Find Full Text PDF

Objective: Endometrial cancer (EC) is a malignant tumor with various histological subtypes and molecular phenotypes. The evaluation of drug resistance is important for cancer treatment. Progesterone resistance is the major challenge in EC.

View Article and Find Full Text PDF

Human natural killer (NK) cells can be sub-divided into two functional subsets but the clinical significance of these CD56 and CD56 NK cells in anti-tumour immunity remains largely unexplored. We determined the relative abundances of gene signatures for CD56 and CD56 NK cells along with 3 stromal and 18 other immune cell types in the patient tumour transcriptomes from the cancer genome atlas bladder cancer dataset (TCGA-BLCA). Using this computational approach, CD56 NK cells were predicted to be the more abundant tumour-infiltrating NK subset which was also associated with improved patient prognosis.

View Article and Find Full Text PDF

Background: Immune cells within tumor tissues play important roles in remodeling the tumor microenvironment, thus affecting tumor progression and the therapeutic response. The current study was designed to identify key markers of plasma cells and explore their role in high-grade serous ovarian cancer (HGSOC).

Methods: We utilized single-cell sequencing data from the Gene Expression Omnibus (GEO) database to identify key immune cell types within HGSOC tissues and to extract related markers via the Seurat package.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!