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

    Journal: Biosens. Bioelectron., Volume 203, MAY 1

    Authors: Sobiepanek, Anna; Kowalska, Patrycja D.; Szota, Magdalena; Grzywa, Tomasz M.; Nowak, Jakub; Wlodarski, Pawel K.; Galus, Ryszard; Jachimska, Barbara; Kobiela, Tomasz

    Organizations: National Science Center (Poland) PRELUDIUM 14 project [2017/27/N/ST4/01389]; BIOTECHMED-1 project - Warsaw University of Technology under the program Excellence Initiative: Research University (IDUB); NCN ETIUDA 6 [2018/28/T/ST4/00511]

    Keywords: Melanoma; Theranostics; Quartz crystal microbalance with dissipation; monitoring; Surface plasmon resonance; Microscale thermophoresis; Lectin-carbohydrate interaction

    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.
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