PD-L1 Expression in Receptor-Negative Breast Cancer Tissue

The obtained data indicated the expediency of using PD-L1 expression indicators for in-depth characterization of the tumor microenvironment of receptor-negative BCa, which will allow for the personalized correction of therapy regimens contributing to the improvement of the patients' quality of life.

Authors

Institutions

Publication Details

Journal
Experimental Oncology
Published
2025-02-20
DOI
https://doi.org/10.15407/exp-oncology.2024.04.324
Citations
3
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
3.14

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PD-L1 Expression in Receptor-Negative Breast Cancer Tissue

Taras Zadvornyi, Oleksandr Mushii, Mykhailo Krotevych, Ye. A LUKIANOV
3 citations
Experimental Oncology
Cancer Immunotherapy and Biomarkers
3.14
article

PD-L1 Expression in Receptor-Negative Breast Cancer Tissue

Taras Zadvornyi, Oleksandr Mushii, Mykhailo Krotevych, Ye. A LUKIANOV
article en
3 citations

Abstract

The obtained data indicated the expediency of using PD-L1 expression indicators for in-depth characterization of the tumor microenvironment of receptor-negative BCa, which will allow for the personalized correction of therapy regimens contributing to the improvement of the patients' quality of life.

Experimental OncologyVol. 46(4)
National Academy of Sciences of Ukraine (UA), R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology (UA), National Cancer Institute (UA)
Ministry of Education and Science of Ukraine
Good health and well-being
Openalex Percentile: Top 9%
Cancer Immunotherapy and Biomarkers
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.