Data · dataset · 2025
Impact of treatment history on drug resistance of metastatic colorectal cancer organoids
Listed in IISH Dataverse
Description
Background
Treatment of metastatic colorectal cancer (mCRC) is impeded by the development of drug resistance. To increase treatment efficacy, we need to understand how exposure to earlier chemotherapy changes tumor cell genotype, phenotype, and resistance mechanisms.
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Methods
We selected 35 patient-derived metastatic lesion organoids (PDOs) from 18 pretreated and 17 chemonaive mCRC patients. We investigated transcriptomic and genomic changes related to acquired drug resistance, by combining drug sensitivity assessments with RNA and whole genome sequencing. Results PDOs from pretreated patients exhibited significantly higher tumor mutational load, more structural variants, and more deep deletions in driver genes at common fragile sites.
Chemotherapy-related mutational signatures SBS17A, SBS17B and DBS5 were observed in PDOs from pretreated patients and the magnitude of these signatures correlated with previous exposure to 5-FU and oxaliplatin. PDOs derived from oxaliplatin-resistant patients captured the acquired resistance and did not show specific genomic alterations, but upregulation of resistance-associated genes ZNF300 and TGM2, along with enrichment of genes in the Hedgehog signaling pathway.
In contrast, acquired resistance to 5-FU and irinotecan was only captured partially in PDOs. Acquired intrinsic resistance to irinotecan in pretreated PDOs correlated with specific genomic alterations: SBS17A and deep deletions in genes located at common fragile sites. These deletions were associated with a distinct gene expression profile with enrichment of BIRC3 and FBXO44.
We identified 103 genes whose expression levels correlated with chemotherapy resistance in PDO drug screens. While oxaliplatin resistance correlated with gene expression in both primary and acquired resistant PDOs, correlations for SN-38 and 5-FU resistance were only observed in acquired resistant PDOs. Conclusion PDOs capture how chemotherapy induces accumulation of genomic mutations and phenotypic changes, which are related to exposure level and resistance.
Acquired oxaliplatin resistance is maintained in PDOs through static tumor cell-intrinsic properties. In contrast, acquired resistance to irinotecan and 5-FU are only partially captured in PDOs, suggesting a larger role for dynamic, transient cell states or tumor cell extrinsic factors. This study sheds light on the tumor biology of heavily pretreated patients and the value of pretreated models in unraveling resistance mechanisms
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FQWAR8P ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/qwar8p ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FQWAR… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Cancer 75% · Genome sequencing 75% · Oncology and carcinogenesis 69% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/QWAR8P | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:genome-sequencing | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |