Novel diagnostic and prognostic factors for the advanced melanoma based on the glycosylation-related changes studied by biophysical profiling methods

Melanoma is a life-threatening disease due to the early onset of metastasis and frequent resistance to the applied treatment. For now, no single histological, immunohistochemical or serological biomarker was able to provide a precise predictive value for the aggressive behavior in melanoma patients. Thus, the search for quantifying methods allowing a simultaneous diagnosis and prognosis of melanoma patients is highly desirable. By investigating specific molecular interactions with some biosensor-based techniques, one can determine novel prognostic factors for this tumor. In our previous study, we have shown the possibility of a qualitative in vitro distinguishing the commercially available melanoma cells at different progression stages based on the measurements of the lectin Concanavalin A interacting with surface glycans present on cells. Here, we present the results of the quantitative diagnostic and prognostic study of both commercial and patient-derived melanoma cells based on the evaluation of two novel factors: lectin affinity and glycan viscoelastic index obtained from the quartz crystal microbalance with dissipation monitoring (QCM-D) measurements. Two approaches to the QCM-D measurements were applied, the first uses the ability of melanoma cells to grow as a monolayer of cells on the sensor (cell-based sensors), and the second shortens the time of the analysis (suspension cell based-sensors). The results were confirmed by the complementary label-free (atomic force microscopy, AFM; and surface plasmon resonance, SPR) and labeling (lectin-ELISA; and microscale thermophoresis, MST) techniques. This new approach provides additional quantitative diagnosis and a personalized prognosis which can be done simultaneously to the traditional histopathological analysis.

Publication year: 2022
Authors: Sobiepanek A. a * .Kowalska P. D ab, Szota M. c , Grzywa T.M. def ., Nowak J g, Włodarski P.K. d, Galus R. h, Jachimska B. c, Kobiela T. a**

a  – Faculty of Chemistry, Warsaw University of Technology, Warsaw, Poland

b – Polish Stem Cell Bank, Warsaw, Poland

c –  Jerzy Haber Institute of Catalysis and Surface Chemistry Polish Academy of Sciences, Krakow, Poland

d  – Department of Methodology, Centre for Preclinical Research, Medical University of Warsaw, Poland

e  – Department of Immunology, Medical University of Warsaw, Warsaw, Poland

f –  Doctoral School, Medical University of Warsaw, Warsaw, Poland

g – Department of Physical Biochemistry, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland

h – Department of Histology and Embryology, Medical University of Warsaw, Warsaw, Poland

Published in: Biosensors and Bioelectronics, 203, 114046


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