Multi-Centre, Retrospective, Open Label Study, to Validate ML-PrediCare by Patients With Melanoma Under 1st and 2nd Lines of Immunotherapy

NCT ID: NCT02581228

Last Updated: 2016-09-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-10-31

Study Completion Date

2018-11-30

Brief Summary

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This is a retrospective, open label study to establish and validate a prediction technology for advanced melanoma patients under the 1st, 2nd and later treatment lines, with the immunotherapeutic drugs Ipilimumab, Pembrolizumab \& Nivolumab, in order to predict response rate and disease progression

Detailed Description

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The aim of this project is to develop a technology application (termed ML-PrediCare), which is meant to be a predictive stand-alone software device, to support clinicians' decision-making, by predicting the individual patient's response to immunotherapy treatments, e.g., in terms of time-to-progression (TTP).

In Stage I of the study, data will be collected for establishing a training set and assess the predictive potential of the modelling technology for the response of melanoma patients to immunotherapy. In Stage II of the study, data will be collected in order to establish a validation set and test the predictive power of the modelling technology in an independent set of patients diagnosed with melanoma.

Conditions

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Melanoma

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Training Set

The objective of the Training stage is to assess the predictive potential of ML-PrediCare for melanoma patients' response to Ipilimumab, Pembrolizumab and Nivolumab.

ML-PrediCare

Intervention Type DEVICE

Validation Set

The objective of the Validation stage is to test the predictive power of ML -PrediCare in an independent set of patients diagnosed with melanoma.

ML-PrediCare

Intervention Type DEVICE

Interventions

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ML-PrediCare

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

Patients who meet all of the following criteria are eligible for this study:

1. Gender: Female, Male.
2. Age: Eighteen years and older at the start of treatment.
3. Histologically confirmed unresectable Stage III or Stage IV melanoma, as per AJCC staging system.
4. Prior radiotherapy must have been completed at least 2 weeks prior to drug administration.
5. Measurable disease by CT, or PET-CT, or MRI per RECIST 1.1
6. Patient has at least one quantitative measurement of at least one target lesion (primary tumor or metastasis) before treatment.
7. Patient has at least one quantitative measurement of at least one target lesion (primary tumor or metastasis) during or after the treatment.
8. Patient has at least one recorded visit to the treating oncologist before treatment.
9. Patient has at least one recorded visit to the treating oncologist during or after the treatment.
10. Treatment as per SOC for melanoma.

Exclusion Criteria

Patients meeting one or more of the following criteria are ineligible for this study:

1. History of another malignancy within the previous 2 years except for:

• Adequately treated Stage I or II cancer currently in complete remission, or any other cancer that has been in complete remission for at least 2 years
2. Ocular melanoma
3. Active brain metastases or leptomeningeal metastases.
Minimum Eligible Age

18 Years

Maximum Eligible Age

120 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Optimata Ltd.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Marina Kleiman, PhD

Role: STUDY_DIRECTOR

Optimata Ltd.

Michal Lotem, MD

Role: PRINCIPAL_INVESTIGATOR

Hadassah Medical Organization

Locations

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Optimata Ltd.

Bne ‘Atarot, , Israel

Site Status RECRUITING

Countries

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Israel

Central Contacts

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Marina Kleiman, PhD

Role: CONTACT

972-7519226 ext. 112

Facility Contacts

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Marina Kleiman, PhD

Role: primary

972-751-9226 ext. 112

References

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Tsur N, Kogan Y, Avizov-Khodak E, Vaeth D, Vogler N, Utikal J, Lotem M, Agur Z. Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm. J Transl Med. 2019 Oct 7;17(1):338. doi: 10.1186/s12967-019-2081-2.

Reference Type DERIVED
PMID: 31590677 (View on PubMed)

Other Identifiers

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OPTI-007

Identifier Type: -

Identifier Source: org_study_id

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