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Bladder cancer organoids as a functional system to model different disease stages and therapy response

ABSTRACT: Bladder cancer organoids as a functional system to model different disease stages and therapy response

PROVIDER: PRJNA901465 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR22282645_1.fastq.gz	Fastqsanger.gz
	SRR22282645_2.fastq.gz	Fastqsanger.gz
	SRR22282646_1.fastq.gz	Fastqsanger.gz
	SRR22282646_2.fastq.gz	Fastqsanger.gz
	SRR22282647_1.fastq.gz	Fastqsanger.gz

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Bladder cancer organoids as a functional system to model different disease stages and therapy response

Project description:Bladder Cancer (BLCa) inter-patient heterogeneity is the primary cause of treatment failure, suggesting that patients could benefit from a more personalized treatment approach. Patient-derived organoids (PDOs) have been successfully used as a functional model for predicting drug response in different cancers. In our study, we established PDO cultures from different BLCa stages and grades. PDOs preserve the histological and molecular heterogeneity of the parental tumors (PTs), including their multiclonal genetic landscapes, and consistently share key genetic alterations, mirroring tumor evolution in longitudinal sampling. Our drug screening pipeline was implemented using PDOs, testing both standard-of-care and FDA-approved compounds for other tumors. Integrative analysis of drug response profiles with matched PDO genomic analysis was used to determine enrichment thresholds for candidate markers of therapy response and resistance. Finally, by assessing the clinical history of longitudinally sampled cases we were able to assess the disease clonal evolution matched with drug response.

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Bladder Cancer Organoids as a Functional System to Model Different Disease Stages and Therapy Response

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Bladder cancer organoids as a functional system to model different disease stages and therapy response.

Project description:Bladder Cancer (BLCa) inter-patient heterogeneity is the primary cause of treatment failure, suggesting that patients could benefit from a more personalized treatment approach. Patient-derived organoids (PDOs) have been successfully used as a functional model for predicting drug response in different cancers. In our study, we establish PDO cultures from different BLCa stages and grades. PDOs preserve the histological and molecular heterogeneity of the parental tumors, including their multiclonal genetic landscapes, and consistently share key genetic alterations, mirroring tumor evolution in longitudinal sampling. Our drug screening pipeline is implemented using PDOs, testing standard-of-care and FDA-approved compounds for other tumors. Integrative analysis of drug response profiles with matched PDO genomic analysis is used to determine enrichment thresholds for candidate markers of therapy response and resistance. Finally, by assessing the clinical history of longitudinally sampled cases, we can determine whether the disease clonal evolution matched with drug response.

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