Simona Borilova

Dr. Simona Borilova

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 March 2023 in Cancers
Verified
Journal Article
Open access
PDF file
PGPeter Grell
Peter Grell
SBSimona Borilova
Simona Borilova
PFPavel Fabian
Pavel Fabian
ISIveta Selingerova
Iveta Selingerova
DNDavid Novak
David Novak
RVRostislav Vyzula
Rostislav Vyzula
Immune checkpoint inhibitors (ICI) are the main therapy currently used in advanced malignant melanoma (MM) and non-small cell lung cancer (NSCLC). Despite the wide variety of uses, the possibility of predicting ICI efficacy in these tumor types is scarce. The aim of our study was to find new predictive biomarkers for ICI treatment. We analyzed, by immunohistochemistry, various cell subsets, including CD3+, CD8+, CD68+, CD20+, and FoxP3+ cells, and molecules such as LAG-3, IDO1, and TGFβ. Comprehensive genomic profiles were analyzed. We evaluated 46 patients with advanced MM (31) and NSCLC (15) treated with ICI monotherapy. When analyzing the malignant melanoma group, shorter median progression-free survival (PFS) was found in tumors positive for nuclear FoxP3 in tumor-infiltrating lymphocytes (TILs) (p = 0.048, HR 3.04) and for CD68 expression (p = 0.034, HR 3.2). Longer PFS was achieved in patients with tumors with PD-L1 TPS ≥ 1 (p = 0.005, HR 0.26). In the NSCLC group, only FoxP3 positivity was associated with shorter PFS and OS. We found that FoxP3 negativity was linked with a better response to ICI in both histological groups.

24 February 2023 in Journal of Thoracic Oncology
Verified
Journal Article
Closed access
SBSimona Borilova
Simona Borilova
LDLadislav Dusek
Ladislav Dusek
LJLenka Jakubikova
Lenka Jakubikova
PTPavel Turcani
Pavel Turcani
RMRadoslav Matej
Radoslav Matej
MSMarek Svoboda
Marek Svoboda

18 January 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
PGPeter Grell
Peter Grell
SBSimona Borilova
Simona Borilova
PFPavel Fabian
Pavel Fabian
ISIveta Selingerova
Iveta Selingerova
DNDavid Novak
David Novak
RVRostislav Vyzula
Rostislav Vyzula
Immune checkpoint inhibitors (ICI) are currently use in a wide range of tumors, but only 20-40% of patients achieve clinical benefit. Aim of our study was to find predictive biomarkers of ICI treatment. We analyzed by immunohistochemistry various cell subsets, including CD3+ cells, CD8+ cells, CD68+ cells, CD20+ cells, FoxP3+ cells, and molecules as LAG-3, IDO1, TGfβ. Comprehensive genomic profiles were analyzed. Correlation of various biomarkers with efficacy of ICI treatment in patients with advanced solid tumors was evaluated. We evaluated 56 patients treated with ICI monotherapy. Longer median progression-free survival (PFS) was found in tumors negative for nuclear FoxP3 (P = 0.002, HR 0.14) and in TMB-high tumors (P = 0.024, HR 0.38). Longer overall survival (OS) was found in patient with intraepithelial CD8 negativity (P = 0.045, HR 0.47). In malignant melanoma CD68 negativity, FoxP3 negativity and PDL TPS ≥ 1 was associated with longer PFS. In NSCLC FoxP3 was associated with longer PFS and OS. We found that absence of expression of several biomarkers such as CD68 and FoxP3 is associated with better survival. TMB-high and PD-L1 expression not universally but in certain disease could predict response.