Data · dataset · 2025
Dose Response Test of Patient - derived Cancer Organoids to Irradiation
Listed in Teesside University Research Data Repository
Our research hypothesis was that patient-derived rectal cancer organoids would exhibit dose-dependent radiosensitivity to X-ray irradiation (0–16 Gy) and that image-based analysis would more accurately reflect this sensitivity than the CCK8 assay.
Description
The dataset includes two key files: radiation survival.pzf (image-based survival counts of organoids) and radiation cck8.pzf (CCK8 assay absorbance values measured via microplate reader, with 3 biological replicates per dose/time point).
The data shows organoids displayed tumor-like heterogeneity and a clear dose-dependent decrease in survival (e.g., 16 Gy reduced survival to ~15% of controls via imaging), while the CCK8 assay failed to accurately capture this response; a notable finding is that image-based analysis generated representative survival curves (with a linear slope, shoulder region, and subsequent straightening), confirming its reliability for assessing organoid radiosensitivity.
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This data can be interpreted as validating rectal cancer organoids as a viable model for radiosensitivity research and image-based analysis as the optimal assessment method. To use it, researchers can apply tools like Excel or GraphPad Prism for replicating survival curve analyses or secondary research (e.g., exploring sub-group differences in organoid sensitivity), with all experiments repeated and outliers excluded via Grubbs’ test to ensure reproducibility.
Links
Where it is published
- DOI doi.org/10.17632/sm83ff497n.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/sm83ff497n.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:imaging | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |