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Using QPOP to Predict Treatment for Sarcomas and Melanomas

N

National Cancer Centre, Singapore

Status

Enrolling

Conditions

Sarcoma
Melanoma

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

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.

Full 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

Enrollment

100 estimated patients

Sex

All

Ages

21 to 99 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Diagnosis of sarcoma or melanoma
  • At least 1 tumour lesion amenable to fresh biopsy or resection
  • Signed informed consent from patient or legal representative
  • Able to comply with study-related procedures

Exclusion criteria

  • There are no specific exclusion criteria if patients meet the inclusion criteria

Trial contacts and locations

1

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Central trial contact

Valerie Shiwen Yang, BSc, MB BChir, PhD

Data sourced from clinicaltrials.gov

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