Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue

The findings of this study showed the application of this new flow cytometry method could potentially be used to standardize Ki67 assessments in breast cancer.

Authors

Institutions

Publication Details

Journal
BMC Biology
Published
2024-08-26
DOI
https://doi.org/10.1186/s12915-024-01980-4
Citations
2
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.57

Funders

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

Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue

Masafumi Shimoda, Masatoshi Nakatsuji, Masahiko Tsujimoto, Hideki Ishihara et al.
2 citations
BMC Biology
Breast Cancer Treatment Studies
0.57
article

Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue

Masafumi Shimoda, Masatoshi Nakatsuji, Masahiko Tsujimoto, Hideki Ishihara, Kenzo Shimazu, Hiromi Tsuji, Yuji Sugama, Natsuki Sato
article en
2 citations

Abstract

The findings of this study showed the application of this new flow cytometry method could potentially be used to standardize Ki67 assessments in breast cancer.

BMC BiologyVol. 22(1)
National Institute of Biomedical Innovation, Health and Nutrition (JP), Osaka Police Hospital (JP), Nitto Boseki (Japan) (JP), Hamari Chemicals (Japan) (JP), Osaka University of Pharmaceutical Sciences (JP), The University of Osaka (JP)
Japan Agency for Medical Research and Development
Good health and well-being
Openalex Percentile: Top 32%
Breast Cancer Treatment Studies
0.57
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.