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

Computational biomarkers, representing spatial properties of the tumor proliferation and immune cell infiltrates, provided independent prognostic information beyond conventional IHC markers in BC. Integrating Ki67-entropy and CD8-immunogradient indicators into prognostic models can improve patient stratification with regard to BCSS.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2024-11-22
DOI
https://doi.org/10.1371/journal.pone.0314364
Citations
5
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.41

Funders

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

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

Allan G. Rasmusson, Ruta Barbora Valkiuniene, Dovile Zilenaite-Petrulaitiene, Linas Petkevičius et al.
5 citations
PLoS ONE
Cancer Immunotherapy and Biomarkers
1.41
article

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

Allan G. Rasmusson, Ruta Barbora Valkiuniene, Dovile Zilenaite-Petrulaitiene, Linas Petkevičius, Arvydas Laurinavičius, Aida Laurinavičienė
article en
5 citations

Abstract

Computational biomarkers, representing spatial properties of the tumor proliferation and immune cell infiltrates, provided independent prognostic information beyond conventional IHC markers in BC. Integrating Ki67-entropy and CD8-immunogradient indicators into prognostic models can improve patient stratification with regard to BCSS.

PLoS ONEVol. 19(11)
Vilnius University (LT)
Lietuvos Mokslo Taryba
Good health and well-being
Openalex Percentile: Top 15%
Cancer Immunotherapy and Biomarkers
1.41
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.

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 — Allan G. Rasmusson, Ruta Barbora Valkiuniene, et al. · PLoS ONE (2024) | TGRS Research Map | TGRS