Dose response test of patient-derived cancer organoids to irradiation

Cancer organoids were easy to use for the research of radiobiology of cancer. Image-based analysis is more accurate than cell viability (tested by cell counting kit-8) for studying cancer radiosensitivity via organoids.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-10-27
DOI
https://doi.org/10.3389/fonc.2025.1677172
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Dose response test of patient-derived cancer organoids to irradiation

Hualong Liu, Canfeng Lin, Haina Yu, Ye Yao et al.
Frontiers in Oncology
Advanced Radiotherapy Techniques
article

Dose response test of patient-derived cancer organoids to irradiation

Hualong Liu, Canfeng Lin, Haina Yu, Ye Yao, Jing Li, Weizhen Liu, Fan Chen, Lifeng Chen
article en

Abstract

Cancer organoids were easy to use for the research of radiobiology of cancer. Image-based analysis is more accurate than cell viability (tested by cell counting kit-8) for studying cancer radiosensitivity via organoids.

Frontiers in OncologyVol. 15
Fujian Medical University (CN), Sun Yat-sen University (CN), Changsha Medical University (CN), Wuhan Union Hospital (CN), Shanghai Sixth People's Hospital (CN), Sun Yat-sen University Cancer Center (CN), Wuzhou Red Cross Hospital (CN), Union Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 59%
Advanced Radiotherapy Techniques
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.