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KOPŘIVOVÁ, H. POŘÍZKA, P. KISS, K. BUDAY, J. BRUNNBAUER, L. KAŠKA, M. LIMBECK, A. KAISER, J.
Original Title
Correlative study of cutaneous cancers using LIBS and LA-ICP-MS
Type
abstract
Language
English
Original Abstract
The skin is the largest organ of the human body, which protects against external influences. These adverse environmental influences can cause various skin diseases such as cancer. There are two types of skin cancer. The first is a benign tumor, which is usually not dangerous to humans. The second type is a malignant tumor, which can metastasize and be very life-threatening in some instances. Skin cancer is one of the most common cancers, so frequent prevention is crucial. According to the researchers, cancer infected tissues change the shape of the cells and their chemical composition. These changes in elemental composition can be observed using LIBS or LA-ICP-MS, where imaging of biotic elements (Ca, Mg, P, C, Zn, S, Cu, and Fe) provides information about the distribution of soft tissue elements and, consequently, the location of cancerous tissue. This paper deals with a correlative study using LIBS and LA-ICP-MS in a sample of healthy human skin, four samples of malignant tumors (squamous cell carcinoma, malignant melanoma, basal cell carcinoma, and epithelioid angiosarcoma), and one sample of a benignant tumor (pigment nevus). Analysis was performed using both techniques for all these samples, and spatial distributions of biogenic elements were constructed. This work aims to show the potential of new analytical methods, which could be used for the possible diagnosis of cancer as a correlative method to classical histology.
Keywords
soft tissues, cancer tissues, bioimaging, LIBS, LA-ICP-MS
Authors
KOPŘIVOVÁ, H.; POŘÍZKA, P.; KISS, K.; BUDAY, J.; BRUNNBAUER, L.; KAŠKA, M.; LIMBECK, A.; KAISER, J.
Released
6. 9. 2022
BibTex
@misc{BUT180322, author="Hana {Kopřivová} and Pavel {Pořízka} and Kateřina {Kiss} and Jakub {Buday} and Lukas {Brunnbauer} and Milan {Kaška} and Andreas {Limbeck} and Jozef {Kaiser}", title="Correlative study of cutaneous cancers using LIBS and LA-ICP-MS", year="2022", note="abstract" }