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Spots Global Cancer Trial Database for Using QPOP to Predict Treatment for Sarcomas and Melanomas

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Trial Identification

Brief Title: Using QPOP to Predict Treatment for Sarcomas and Melanomas

Official Title: Q-SAM (Using QPOP to Predict Treatment for Sarcomas and Melanomas)

Study ID: NCT04986748

Conditions

Sarcoma
Melanoma

Interventions

Study Description

Brief Summary: This is a multi-cohort proof of concept study involving patients with sarcomas or melanomas. Patient models, both two- and three-dimensional, will be derived from tumour samples. These will then be used to evaluate drug sensitivities ex vivo. Enrolled patients will undergo resections or biopsies as part of standard-of-care, which will be used to generate patient models. Patients will receive standard-of-care systemic treatment. Patient models will also be subjected up to a 14-drug screening panel. The majority of drugs in the respective drug panels has been shown to have activity in the respective cancers and would be used in the standard-of-care setting by treating physicians.

Detailed Description: Hypothesis: Ex vivo drug testing on patient-derived models using QPOP can identify drug sensitivities and combinations which may have clinical efficacy against sarcomas and melanomas. Specific aim 1: To derive patient models, both two- and three-dimensional, of sarcomas and melanomas Specific aim 2: To perform ex vivo drug testing on patient models of sarcoma and melanoma using QPOP Specific aim 3: To assess the efficacy of phenotype directed therapy using QPOP to assign treatment after progression on standard-of-care treatment in sarcoma and melanoma

Eligibility

Minimum Age: 21 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

National Cancer Centre Singapore, Singapore, , Singapore

Contact Details

Name: Valerie Shiwen Yang, BSc, MB BChir, PhD

Affiliation: National Cancer Centre, Singapore

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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