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Conferences, workshops
Research

On 9 June, Rīga Stradiņš University (RSU) will host a joint workshop, Cancer Research, within the framework of the Latvian–Ukrainian Joint Programme Project Genetic characterization of high-risk human papillomaviruses in Ukraine and Latvia to inform national policy of cervical cancer prevention ( LV_UA/2026/3).

All interested participants are welcome to join the workshop. No prior registration is needed. However, if you plan to join via Zoom, there will be a waiting room. To enter, you will have to identify yourself with your name and surname.Join the seminar on Zoom

Seminārs notiks angļu valodā.

Agenda

11.00–11.10Opening remarks
11.10–11.30Analysis of HPV16 genomes from patients with cervical precancer and cancer followed up in Riga during 2016–2024
Maria Isaguliants, RSU Institute of Microbiology and Virology, Latvia
11.30–11.40Phylogenetic analysis of the high-risk human papilloma virus genomes resolved in the frame of LV-UA project
Sviataslau Sasinovich, RSU Institute of Microbiology and Virology, Latvia
11.40–11.50Parameters of high-risk human papilloma virus infection shaping the severity of disease in cervical precancer and cancer
Austra Breiksa, Pauls Stradiņš Clinical University Hospital, Latvia
11.50–12.00Immunohistochemical analysis of Ki-67 expression in cervical cancer: pathologist scoring versus automated quantification using QuPath
Marija Nazarenko, RSU Institute of Microbiology and Virology, Latvia
12.00–12.20Identification of clinically relevant gene variants in brain tumor tissue by cancer hotspot panel
Elena Kashuba, R. E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, Ukraine
12.20–12.30High risk human papilloma virus genotypes identified in tumoral and peritumoral tissues of patients with cervical cancer
Larysa Kovalevska, R. E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, Ukraine
12.30–12.40The effect of IL-2 on expression of STAT transcription factors in B-cells in B-cell Chronic Lymphocytic Leukemia (CLL)
Sofia Lytvyn, R. E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, Ukraine
12.40–13.00A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients
Mohammadreza Azimi, RSU Institute of Microbiology and Virology, Latvia
13.00–13.15Discussion