Pretherapeutic laboratory findings, extent of metastasis and choice of treatment as prognostic markers in ocular melanoma- a single centre experience

Characterization of Extracellular vesicles isolated from different Liquid biopsies of uveal melanoma patients

Purpose:

Uveal melanoma (UM) is the most common intraocular malignant tumor in adults. Extracellular vesicles (EVs) have been extensively studied as a biomarker to monitor disease in patients. The study of new biomarkers in melanoma patients could prevent metastasis by earlier diagnosis. In this study, we determined the proteomic profile of EVs isolated from aqueous humor (AH), vitreous humor (VH), and plasma from UM patients in comparison with cancer-free control patients.

Methods:

AH, VH and plasma were collected from seven patients with UM after enucleation; AH and plasma were collected from seven cancer-free patients with cataract (CAT; control group). EVs were isolated using the membrane-based affinity binding column method. Nanoparticle tracking analysis (NTA) was performed to determine the size and concentration of EVs. EV markers, CD63 and TSG101, were assessed by immunoblotting, and the EV proteome was characterized by mass spectrometry.

Results:

Mean EV concentration was higher in all analytes of UM patients compared to those in the CAT group. In the UM cohort, the mean concentration of EVs was significantly lower in AH and plasma than in VH. In contrast, the mean size and size distribution of EVs was invariably identical in all analyzed analytes and in both studied groups (UM vs. CAT). Mass spectrometry analyses from the different analytes from UM patients showed the presence of EV markers.

Conclusion:

EVs isolated from AH, VH, and plasma from patients with UM showed consistent profiles and support the use of blood to monitor UM patients as a noninvasive liquid biopsy.

What Do Germans Want to Know About Skin Cancer? A Nationwide Google Search Analysis From 2013 to 2017

Background

Experts worldwide agree that skin cancer is a global health issue, but only a few studies have reported on world populations’ interest in skin cancer. Internet search data can reflect the interest of a population in different topics and thereby identify what the population wants to know.

Objective

Our aim was to assess the interest of the German population in nonmelanoma skin cancer and melanoma.

Methods

Google AdWords Keyword Planner was used to identify search terms related to nonmelanoma skin cancer and melanoma in Germany from November 2013 to October 2017. The identified search terms were assessed descriptively using SPSS version 24.0. In addition, the search terms were qualitatively categorized.

Results

A total of 646 skin cancer-related search terms were identified with 19,849,230 Google searches in the period under review. The search terms with the highest search volume were “skin cancer” (n=2,388,500, 12.03%), “white skin cancer” (n=2,056,900, 10.36%), “basalioma” (n=907,000, 4.57%), and “melanoma” (n=717,800, 3.62%). The most searched localizations of nonmelanoma skin cancer were “nose” (n=93,370, 38.99%) and “face” (n=53,270, 22.24%), and the most searched of melanoma were “nails” (n=46,270, 70.61%) and “eye” (n=10,480, 15.99%). The skin cancer‒related category with the highest search volume was “forms of skin cancer” (n=10,162,540, 23.28%) followed by “skin alterations” (n=4,962,020, 11.36%).

Conclusions

Our study provides insight into terms and fields of interest related to skin cancer relevant to the German population. Furthermore, temporal trends and courses are shown. This information could aid in the development and implementation of effective and sustainable awareness campaigns by developing information sources targeted to the population’s broad interest or by implementing new Internet campaigns.