Patient-derived Xenograft (PDX) Modeling to Test Drug Response for High-grade Osteosarcoma

November 29, 2017 updated by: GUO WEI, Peking University People's Hospital

Patient-derived Xenograft (PDX) Modeling to Test Drug Response for High-grade Osterosarcoma

By obtaining clinical specimens from participants with high-grade bone and soft tissue sarcomas to establish and profile as freshly implanted tumors in mice, the aim of this study is to identify agents with predicted activity in the host patient while also potentially providing them with individualized cancer treatment options

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Patient-derived xenografts (PDX) are increasingly used as tools for drug development in pre-clinical settings, and have been shown to recapitulate the histology and behavior of the cancers from which they are derived. Although, they have been commonly used productively as pre-clinical disease models to study disease biology and drug response, they have not been used prospectively to inform clinical management. PDX have been employed to inform clinical decision-making in small studies, which have shown high concordance between individual PDX and patient responses to therapy. While encouraging, the role of this approach in bone and soft tissue sarcomas and in the context of genomic drug matching strategies remains undefined. This has created an opportunity to evaluate the utility of PDX as clinical predictors to direct the use of chemo- and targeted therapies in combination with comprehensive genomic and epigenetic analysis for patients with bone and soft tissue sarcomas.

Study Type

Observational

Enrollment (Anticipated)

20

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with high-grade osteosarcoma referred to, or being treated at Peking University People's Hostpital.

Description

Inclusion Criteria:

  1. Age >18 years;
  2. Diagnosis confirmed histologically and reviewed centrally;
  3. Prior treatment (completed >4 weeks before trial entry) consisted of standard high-grade osteosarcoma chemotherapy agents including doxorubicin, cisplatin, high-dose methotrexate, and ifosfamide; metastatic relapsed and unresectable progressive disease (PD);
  4. Eastern Cooperative Oncology Group performance status 0-1 with a life expectancy >3 months;
  5. Adequate renal, hepatic, and hemopoietic function;
  6. Normal or controlled blood pressure;
  7. Surgery and/or radiotherapy completion at least 1 month before enrollment.

Exclusion Criteria:

  1. Central nervous system metastasis;
  2. Have had other kinds of malignant tumors at the same time;
  3. Cardiac insufficiency or arrhythmia;
  4. Uncontrolled complications, such as diabetes mellitus and so on;
  5. Coagulation disorders;
  6. Urine protein≥ ++;
  7. Pleural or peritoneal effusion that needs to be handled by surgical treatment;
  8. Combined with other infections or wounds.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Osteosarcoma
Osteosarcoma patients with metastatic relapsed or unresectable progressive disease (total n= up to 20) following resection of the primary lesion and adjuvant chemotherapy.
Molecular profiling of host tumour sample and PDX will be performed and analyzed by an expert panel. In vitro drug testing using organoid culture generation may also be performed if sufficient fresh tissue is available. Matched treatment recommendation based on profiling and in vivo PDX drug testing results will be made, if available.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Measure of drug sensitive PDX to a panel of drugs as a predictor of clinical response in matched host
Time Frame: up to 2 years
Sensitivity measured by tumor growth inhibition (>80%) or objective tumor response (regression) as per Response Evaluation Criteria In Solid Tumors (RECIST) criteria.
up to 2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Wei Guo, MD, PhD, Peking University People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

February 1, 2018

Primary Completion (Anticipated)

January 31, 2020

Study Completion (Anticipated)

January 31, 2025

Study Registration Dates

First Submitted

November 25, 2017

First Submitted That Met QC Criteria

November 29, 2017

First Posted (Actual)

November 30, 2017

Study Record Updates

Last Update Posted (Actual)

November 30, 2017

Last Update Submitted That Met QC Criteria

November 29, 2017

Last Verified

November 1, 2017

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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