Ovarium Cancer Detection by TEP's and ctDNA

July 14, 2019 updated by: Jurgen M.J. Piek, Gynaecologisch Oncologisch Centrum Zuid

Early Detection of Ovarian Cancer and Treatment Response by Tumor Educated Platelets (TEP's) and Circulating Tumor DNA (ctDNA)

Rationale: Cancer is primarily diagnosed by clinical presentation, imaging and pathological analysis of tissue biopsies, increasingly supported by molecular diagnostics tests. However, late diagnosis and misdiagnosis due to limitations of tissue biopsy acquisition remains a major problem. Therefore, a general blood test to pinpoint cancer early and adequately can be considered the 'Holy Grail', because diagnosis in an earlier stage significantly improves the chance of cure from cancer. Several blood-based sources are currently being evaluated as liquid biopsies, including circulating tumor (ct) DNA and circulating tumor cells, but none of these have been implemented for primary (multiclass) cancer diagnostics. Protein tumor markers have been used for decades in diagnosis and monitoring of treatment response in different cancers. Tumor-educated platelets (TEPs) can function as potential blood-based source for (early) cancer diagnostics. Blood platelets are implicated in hemostasis and wound healing. Platelets have recently emerged as central players and immediate responders in the systemic and local responses to tumor growth. Confrontation of platelets by tumor cells via transfer of tumor-associated molecules ('education') results in the sequestration of these molecules (derived from both tumor and its micro-environment), causing a distinct platelet messenger Ribonucleic acid (mRNA) profile. We have previously shown that platelets acquire glioblastoma and prostate cancer mRNA biomarkers and that glioblastoma TEP mRNA profiles harbour diagnostic potential. Furthermore, circulating tumor desoxyrubonucleic acid (ctDNA) has recently been implicated as biomarker for therapy effectiveness and survival. Objective: develop and evaluate the potential of combination of tumor markers, TEPs and ctDNA as liquid biomarkers for (early) ovarium cancer diagnostics and as markers for therapy response and survival. Study design: investigator-initiated, longitudinal, observational study. Study population: patients suspected of having ovarium cancer and are therefore planned for surgery. Main study parameters/endpoints: The difference in biomarker profile from benign ovarium lesions versus cancerous lesions. Nature and extent of the burden and risks associated with participation, benefit and group relatedness. There is no extra burden/risk for the patients in this study. Three extra vials of blood.

Study Overview

Status

Status

Indicates the current recruitment status or the expanded access status.
Recruiting

Conditions

Conditions

The disease, disorder, syndrome, illness, or injury that is being studied. On ClinicalTrials.gov, conditions may also include other health-related issues, such as lifespan, quality of life, and health risks.

Intervention / Treatment

Intervention / Treatment

A process or action that is the focus of a clinical study. Interventions include drugs, medical devices, procedures, vaccines, and other products that are either investigational or already available. Interventions can also include noninvasive approaches, such as education or modifying diet and exercise.

Detailed Description

Cancer is primarily diagnosed by clinical presentation, radiology, biochemical tests and pathological analysis of tumor tissue, increasingly supported by molecular diagnostic tests. Molecular profiling of tumor tissue samples has emerged as a potential cancer classifying method. In order to overcome limitations of tissue acquisition the use of blood-based liquid biopsies has been suggested. Several blood-based sources are currently being evaluated as liquid biopsies, including plasma DNA and circulating tumor cells. So far, implementation of liquid biopsies for early detection of cancer has been hampered by non-specificity of these sources to pinpoint the nature of the primary tumor. It has been reported that tumor-educated platelets (TEPs) may enable blood-based cancer diagnostics. Platelets are circulating anucleated cell fragments that originate from megakaryocytes in bone marrow, and are traditionally known for their role in hemostasis and initiation of wound healing. More recently, platelets have emerged as central players in the systemic and local responses to tumor growth. Confrontation of platelets with tumor cells via transfer of tumor-associated biomolecules ('education') is an emerging concept and results in the sequestration of such biomolecules. Moreover, external stimuli, such as activation of platelet surface receptors and lipopolysaccharide-mediated platelet activation induce specific splicing of pre-mRNAs in circulating platelets. Platelets may also undergo queue-specific splice events in response to signals released by cancer cells and the tumor microenvironment -such as stromal and immune cells-. The combination of specific splice events in response to external signals and the capacity of platelets to directly ingest (spliced) circulating mRNA can provide TEPs with a highly dynamic mRNA repertoire, with potential applicability to cancer diagnostics. Additionally, the value of other biomarkers that can be derived from a liquid biopsy will be tested in this study. In addition, recently a hallmark paper has shown that combinations of protein tumor markers and ctDNA analysis could discriminate persons with different types of cancer from healthy controls with on average 70% sensitivity (at 99% specificity). In the case of ovarium cancer the sensitivity was 98%. Obvious advantages of liquid biopsy compared to tissue biopsy is the easy accessibility of the material to be obtained and the fact that tumor derived material in blood may cover the cancer heterogeneity where a tissue biopsy is limited to the alterations in the tumor punctured. Therefore, this study investigates the clinical value of longitudinal assessment of liquid biopsy-derived information in diagnosis and monitoring of treatment response in patients suspected of ovarian cancer.

Study Type

Study Type

Describes the nature of a clinical study. Study types include interventional studies (also called clinical trials), observational studies (including patient registries), and expanded access.
Observational

Enrollment (Anticipated)

Enrollment

The number of participants in a clinical study. The "anticipated" enrollment is the target number of participants that the researchers need for the study.
500

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

The name and contact information for the person who can answer enrollment questions for a clinical study. Each location where the study is being conducted may also have a specific contact, who may be better able to answer those questions.

Study Contact Backup

Study Locations

  • Netherlands
    • Brabant
      • Eindhoven, Brabant, Netherlands, 5623EJ
    • Noord Holland
      • Amsterdam, Noord Holland, Netherlands, 1066 CX
        • Recruiting
        • Netherlands Cancer Institute
        • Contact:
          • Christianne Lok, MD; PhD
      • Leiden, Noord Holland, Netherlands, 2333 ZA
        • Recruiting
        • Leiden University Medical Center
        • Contact:
          • Cor D de Kroon, MD, PhD

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

Eligibility Criteria

The key requirements that people who want to participate in a clinical study must meet or the characteristics they must have. Eligibility criteria consist of both inclusion criteria (which are required for a person to participate in the study) and exclusion criteria (which prevent a person from participating). Types of eligibility criteria include whether a study accepts healthy volunteers, has age or age group requirements, or is limited by sex.

Ages Eligible for Study

18 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

all women presenting with an ovarian tumor of unknown nature

Description

Inclusion Criteria:

  • Suspicion of ovarian cancer.

Exclusion Criteria:

  • Previous intraabdominal malignancies in the history

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort

Group / Cohort

A group or subgroup of participants in an observational study that is assessed for biomedical or health outcomes.
Intervention / Treatment

Intervention / Treatment

A process or action that is the focus of a clinical study. Interventions include drugs, medical devices, procedures, vaccines, and other products that are either investigational or already available. Interventions can also include noninvasive approaches, such as education or modifying diet and exercise.
ovarian tumor benign
all pathological proven benign ovarian tumors
Diagnostic test: TEP
Tumor Educated Platelets
Diagnostic test: ctDNA
circulating tumor DNA
ovarian tumor borderline
all pathological proven borderline ovarian tumors
Diagnostic test: TEP
Tumor Educated Platelets
Diagnostic test: ctDNA
circulating tumor DNA
ovarian tumor malignant
all pathological proven malignant ovarian tumors
Diagnostic test: TEP
Tumor Educated Platelets
Diagnostic test: ctDNA
circulating tumor DNA

What is the study measuring?

Primary Outcome Measures

Primary Outcome Measures

In a clinical study's protocol, the planned outcome measure that is the most important for evaluating the effect of an intervention/treatment. Most clinical studies have one primary outcome measure, but some have more than one.
Outcome Measure
Measure Description
Time Frame
accuracy of TEP's to determine the nature of an ovarian tumor
Time Frame: 1 month
Prior to operation blood will be drawn of patients with an ovarian tumor. TEP's will be analysed as described before.
1 month
accuracy of ctDNA to determine the nature of an ovarian tumor
Time Frame: 1 month
Prior to operation blood will be drawn of patients with an ovarian tumor. CtDNA will be analysed as described before.
1 month
accuracy of ctDNA to predict treatment response in ovarian cancer
Time Frame: 1 month
Prior to debulking operation and pre and post chemotherapy ctDNA will be analysed in blood from patients with ovarian cancer as described before.
1 month

Collaborators and Investigators

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

Sponsor

Sponsor

The organization or person who initiates the study and who has authority and control over the study.
Gynaecologisch Oncologisch Centrum Zuid

Collaborators

Collaborators

An organization other than the sponsor that provides support for a clinical study. This support may include activities related to funding, design, implementation, data analysis, or reporting.
Catharina Ziekenhuis Eindhoven
Amsterdam UMC, location VUmc
The Netherlands Cancer Institute
Leiden University Medical Center

Investigators

Investigators

A researcher involved in a clinical study. Related terms include site principal investigator, site sub-investigator, study chair, study director, and study principal investigator.
  • Principal Investigator: Thomas Wurdinger, PhD, Amsterdam UMC loc VUmc

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 (Actual)

Study Start

The actual date on which the first participant was enrolled in a clinical study. The "anticipated" study start date is the date that the researchers think will be the study start date.
July 1, 2019

Primary Completion (Anticipated)

Primary Completion

The date on which the last participant in a clinical study was examined or received an intervention to collect final data for the primary outcome measure. Whether the clinical study ended according to the protocol or was terminated does not affect this date. For clinical studies with more than one primary outcome measure with different completion dates, this term refers to the date on which data collection is completed for all the primary outcome measures. The "anticipated" primary completion date is the date that the researchers think will be the primary completion date for the study.
July 1, 2023

Study Completion (Anticipated)

Study Completion

The date on which the last participant in a clinical study was examined or received an intervention/treatment to collect final data for the primary outcome measures, secondary outcome measures, and adverse events (that is, the last participant's last visit). The "anticipated" study completion date is the date that the researchers think will be the study completion date.
December 1, 2023

Study Registration Dates

First Submitted

First Submitted

The date on which the study sponsor or investigator first submitted a study record to ClinicalTrials.gov. There is typically a delay of a few days between the first submitted date and the record's availability on ClinicalTrials.gov (the first posted date).
July 9, 2019

First Submitted That Met QC Criteria

First Submitted That Met QC Criteria

The date on which the study sponsor or investigator first submits a study record that is consistent with National Library of Medicine (NLM) quality control (QC) review criteria. The sponsor or investigator may need to revise and submit a study record one or more times before NLM's QC review criteria are met. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
July 14, 2019

First Posted (Actual)

First Posted

The date on which the study record was first available on ClinicalTrials.gov after National Library of Medicine (NLM) quality control (QC) review has concluded. There is typically a delay of a few days between the date the study sponsor or investigator submitted the study record and the first posted date.
July 17, 2019

Study Record Updates

Last Update Posted (Actual)

Last Update Posted

The most recent date on which changes to a study record were made available on ClinicalTrials.gov. There may be a delay between when the changes were submitted to ClinicalTrials.gov by the study's sponsor or investigator (the last update submitted date) and the last update posted date.
July 17, 2019

Last Update Submitted That Met QC Criteria

Last Update Submitted That Met QC Criteria

The most recent date on which the study sponsor or investigator submitted changes to a study record that are consistent with National Library of Medicine (NLM) quality control (QC) review criteria. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
July 14, 2019

Last Verified

Last Verified

The most recent date on which the study sponsor or investigator confirmed the information about a clinical study on ClinicalTrials.gov as accurate and current. If a study with a recruitment status of recruiting; not yet recruiting; or active, not recruiting has not been confirmed within the past 2 years, the study's recruitment status is shown as unknown.
July 1, 2019

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

Other Study ID Numbers

Identifiers or ID numbers other than the NCT number that are assigned to a clinical study by the study's sponsor, funders, or others. These numbers may include unique identifiers from other trial registries and National Institutes of Health grant numbers.
  • NL68037.100.18

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

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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