Heat Shock Proteins in Urine as Cancer Biomarkersстатья
Статья опубликована в высокорейтинговом журнале
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Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 17 ноября 2021 г.
Аннотация:Heat shock proteins (HSPs) are a large family of molecular chaperones, which haveshown to be implicated in various hallmarks of cancer such as resistance to apoptosis,invasion, angiogenesis, induction of immune tolerance, and metastasis. Several studiesreported aberrant expression of HSPs in liquid biopsies of cancer patients and this hasopened new perspectives on the use of HSPs as biomarkers of cancer. However, nospecific diagnostic, predictive, or prognostic HSP chaperone-based urine biomarker hasbeen yet discovered. On the other hand, divergent expression of HSPs has also beenobserved in other pathologies, including neurodegenerative and cardiovascular diseases,suggesting that new approaches should be employed for the discovery of cancer-specificHSP biomarkers. In this study, we propose a new strategy in identifying cancer-specificHSP-based biomarkers, where HSP networks in urine can be used to predict cancer.By analyzing HSPs present in urine, we could predict cancer with approximately 90%precision by machine learning approach. We aim to show that coupling the machinelearning approach and the understanding of how HSPs operate, including their functionalcycles, collaboration with and within networks, is effective in defining patients with cancer,which may provide the basis for future discoveries of novel HSP-based biomarkersof cancer.