Publications by authors named "Dovile Zilenaite-Petrulaitiene"
Spatial distributions of CD8 and Ki67 cells in the tumor microenvironment independently predict breast cancer-specific survival in patients with ER+HER2- and triple-negative breast carcinoma.
Dovile Zilenaite-Petrulaitiene Allan Rasmusson Ruta Barbora Valkiuniene Aida Laurinaviciene Linas Petkevicius
PLoS One
November 2024
Article Synopsis
- This study investigates how tumor proliferation and immune response patterns affect survival in breast cancer patients, focusing on ER+HER2- and triple-negative types.
- Using advanced digital image analysis on biopsy samples, researchers quantified specific markers to identify factors that could predict breast cancer-specific survival (BCSS).
- Results showed that certain immune cell densities and tumor growth patterns significantly influenced BCSS, suggesting potential for personalized treatment strategies based on these biomarkers.
Article Synopsis
- The study focused on 41 patients meeting the Milan criteria for liver cancer and found that 43.9% experienced a relapse after surgery.
- Researchers analyzed tissue samples to assess the presence of CD8+ lymphocytes, correlating their density near tumor edges with surgical outcomes.
- Key findings suggest that lower variability in CD8+ density and R1 surgical resection significantly predict shorter relapse-free survival, indicating potential for better preoperative assessments to enhance treatment effectiveness.
Intratumoral heterogeneity of Ki67 proliferation index outperforms conventional immunohistochemistry prognostic factors in estrogen receptor-positive HER2-negative breast cancer.
Dovile Zilenaite-Petrulaitiene Allan Rasmusson Justinas Besusparis Ruta Barbora Valkiuniene Renaldas Augulis
Virchows Arch
January 2024
Article Synopsis
- * This study applied digital image analysis (DIA) to analyze whole slide images from 254 ER-positive HER2-negative BC patients, focusing on the prognostic value of ITH indicators, particularly using Haralick's texture metrics for Ki67.
- * The findings revealed that Ki67 entropy, which assesses the spatial arrangement of tumor cells, is a significant predictor of BC-specific survival, surpassing the traditional proliferation rate evaluations and highlighting the importance of ITH in prognosis.
Introduction: Our previous research demonstrated that CD8+ cell density profiling using a hexagonal grid-based digital image analysis method provides predictors of patient outcomes after liver resection due to hepatocellular carcinoma (HCC). Continuing our study, we have further investigated the applicability of the methodology to patients receiving a liver transplant for HCC.
Methods: The retrospective study enrolled patients with HCC who underwent liver transplantation (LT) at the Vilnius University Hospital Santaros Clinics between 2007 and 2020.
Article Synopsis
- Hepatocellular carcinoma (HCC) frequently develops in patients with chronic liver inflammation, and CD8 lymphocytes play a dual role by both fighting tumors and damaging healthy liver cells.
- The study examined CD8 lymphocyte density at tumor boundaries and surrounding liver tissue using advanced digital image analysis, aiming to assess its prognostic value alongside clinical and surgical data.
- Key findings showed that certain CD8 density patterns and clinical factors were independent predictors of overall survival (OS) and relapse-free survival (RFS), allowing for the development of a combined risk score to categorize patients based on their chances of survival post-surgery.