Publication details

PAKLITAXELOM SPÔSOBENÁ NEUROPATIA – GLYKOPROTEOMICKÝ PRÍSTUP K PREDIKTÍVNYM BIOMARKEROM U KARCINÓMU PRSNÍKA

Title in English PACLITAXEL-INDUCED NEUROPATHY - A GLYCOPROTEOMIC APPROACH TO PREDICTION BIOMARKERS IN BREAST CANCER
Authors

URMINSKÝ A. HENYCHOVÁ L. HALÁMKOVÁ Jana HENEK T.

Year of publication 2023
Type Conference abstract
MU Faculty or unit

Faculty of Medicine

Citation
Description Paclitaxel is an effective chemotherapeutic drug that is used extensively in the treatment of breast cancer. However, its clinical use is associated with serious side peripheral neuropathy. This side effect, which affects more than half of treated patients, can significantly interfere with their quality of life and is manifested by pain, tingling or numbness in both the upper and lower limbs. With very severe side effects, treatment tends to be discontinued, worsening the prognosis for the patient. There is currently no tool to predict the likelihood of developing neuropathy caused by paclitaxel, and there are no drugs capable of treating or suppressing neuropathy. This limitation prevents doctors in clinical practice from tailoring treatment plans, which may have a negative impact on treatment efficacy and patients' quality of life. In this study, we investigate the glycoproteomic analysis of blood serum in patients before paclitaxel treatment who subsequently developed neuropathy (n = 21) or did not (n = 11). Glycoproteomics is concerned with monitoring changes in glycosylation of proteins, and glycosylation can affect several functions of proteins such as their stability, solubility or their a? nity when interacting with other proteins. We hypothesize that certain combinations of protein glycosylation could indicate an increased risk of paclitaxel-induced peripheral neuropathy and thus be used as potential biomarkers. After characterizing the glycoproteome, we plan to use machine learning techniques to determine whether there is a špeci? cká combination of these glycoproteophores that could serve as the basis of a predictive model for paclitaxel-induced neuropathy.
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