- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06067347
A Global Study of the PETAL Consortium (PETAL)
April 6, 2026 updated by: Salvia Jain, MD, Massachusetts General Hospital
Integration of Machine Learning and Genomics to Predict Outcomes for Newly Diagnosed, Relapsed and Refractory Mature T-cell and NK/T-cell Lymphomas: a Global Study of the PETAL Consortium
The goal of this observational study is to correlate molecular alterations with outcomes including overall survival (OS), progression-free survival (PFS), response rates for patients with a new diagnosis, primary refractory or relapse, of mature T-cell and NK-cell neoplasms (TNKL).
We hypothesize that machine learning can be leveraged to uncover distinct genetic vulnerabilities that underlie treatment response and resistance for patients with TNKL, thus moving towards personalized treatment solutions.
Study Overview
Status
Recruiting
Conditions
Detailed Description
This study is a prospective, longitudinal observational study of patients with newly diagnosed or relapsed/refractory T-cell and NK-cell neoplasms, conducted across multiple participating institutions globally.
Patients will be enrolled during their initial visit as new patients and will be followed for up to four years through the course of their clinical management.
Data for routine demographics, baseline clinical features, including pathology, molecular information related to the tumor, radiology, treatment characteristics and quality of life (QoL) associated with their lymphoma care will be collected over the course of 4 years by clinical research teams at every participating institution.
The de-identified data will be securely shared through a password protected REDCap with other participating institutions under data usage agreements of the consortium.
Next generation sequencing (NGS) including but not limited to whole exome sequencing and bulk RNA-sequencing will be performed on archived lymphoma specimens, mononuclear cells, cfDNA and saliva (when feasible) for a comprehensive molecular characterization of the tumor.
Molecular data will be analyzed in correlation with patient outcomes.
Advanced deep learning algorithms will be applied to predict responses and survival across lymphoma subtypes, heterogeneous clinical scenarios and various potential therapeutic approaches that the patient has not been exposed to.
Study Type
Observational
Enrollment (Estimated)
1200
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
- Name: Salvia Jain, MD
- Phone Number: 650-224-0183
- Email: salvia.jain@mgh.harvard.edu
Study Contact Backup
- Name: Forum Bhanushali
- Phone Number: 857-757-0966
- Email: fbhanushali@bwh.harvard.edu
Study Locations
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South Australia
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Adelaide, South Australia, Australia, 5000
- Recruiting
- Royal Adelaide Hospital
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Contact:
- Danielle Blunt Site Investigator, MD
- Phone Number: +61 8 7074 0000
- Email: Danielle.Blunt@sa.gov.au
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Principal Investigator:
- Danielle Blunt, MD
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Victoria
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Melbourne, Victoria, Australia, 3000
- Recruiting
- Peter MacCallum Cancer Centre
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Contact:
- Carrie Van Der Weyden, MD
- Phone Number: +03-8559-5000
- Email: Carrie.VanDerWeyden@petermac.org
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Principal Investigator:
- Carrie Van Der Weyden, MD
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Kyoto, Japan, 606-8501
- Recruiting
- Kyoto University
-
Contact:
- Takashi Sakamoto, MD
- Phone Number: +81 75-753-7531
- Email: tsakamo@kuhp.kyoto-u.ac.jp
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Principal Investigator:
- Takashi Sakamoto, MD
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South Africa
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Cape Town, South Africa, South Africa, 7700
- Recruiting
- University of Cape Town
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Contact:
- Estelle Verburgh, MD
- Phone Number: +27 21 650 9111
- Email: estelle.verburgh@uct.ac.za
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Principal Investigator:
- Estelle Verburgh, MD
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California
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Duarte, California, United States, 91010
- Recruiting
- City of Hope
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Principal Investigator:
- Christina Poh, MD
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Contact:
- Christina Poh Site Investigator, MD
- Phone Number: (877) 302-3373
- Email: cpoh@coh.org
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Colorado
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Denver, Colorado, United States, 80204
- Recruiting
- University of Colorado
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Principal Investigator:
- Bradley Haverkos, MD
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Contact:
- Phone Number: (303) 315-5969
- Email: bradley.haverkos@cuanschutz.edu
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Florida
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Tampa, Florida, United States, 33612
- Recruiting
- Moffitt Cancer Center
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Principal Investigator:
- Yumeng Zhang, MD
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Contact:
- Yumeng Zhang, MD
- Phone Number: (888) 663-3488
- Email: Yumeng.Zhang@Moffitt.org
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Massachusetts
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Boston, Massachusetts, United States, 02114
- Recruiting
- Massachusetts General Hospital
-
Principal Investigator:
- Salvia Jain, MD
-
Contact:
- Salvia Jain, MD
- Phone Number: 650-224-0183
- Email: salvia.jain@mgh.harvard.edu
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Contact:
- Forum Bhanushali
- Phone Number: 857-757-0966
- Email: fbhanushali@bwh.harvard.edu
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Boston, Massachusetts, United States, 02215
- Recruiting
- Dana-Farber Cancer Institute
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Principal Investigator:
- Eric Jacobsen, MD
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Contact:
- Eric Jacobsen, MD
- Phone Number: 877-442-3324
- Email: eric_jacobsen@dfci.harvard.edu
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Minnesota
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Rochester, Minnesota, United States, 55905
- Recruiting
- Mayo Clinic
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Contact:
- Nora Bennani, MD
- Phone Number: (507) 284-2511
- Email: Bennani.Nora@mayo.edu
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Principal Investigator:
- Bennani Nora, MD
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New Jersey
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Hackensack, New Jersey, United States, 07601
- Recruiting
- Hackensack University Medical Center
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Principal Investigator:
- Tatyana Feldman, MD
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Contact:
- Tatyana Feldman, MD
- Phone Number: (201) 996-4300
- Email: tatyana.feldman@hmhn.org
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Ohio
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Columbus, Ohio, United States, 43214
- Recruiting
- OhioHealth
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Principal Investigator:
- Basem William, MD
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Contact:
- Basem William Site Investigator, MD
- Phone Number: (614) 544-4483
- Email: Basem.William@ohiohealth.com
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19104
- Recruiting
- University of Pennsylvania
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Principal Investigator:
- Stefan Barta, MD
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Contact:
- Stefan Barta, MD
- Phone Number: 215-898-5000
- Email: stefan.barta@pennmedicine.upenn.edu
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Virginia
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Charlottesville, Virginia, United States, 22903-4
- Recruiting
- University of Virginia
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Principal Investigator:
- Enrica Marchi, MD
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Contact:
- Enrica Marchi, MD
- Phone Number: +1 434-924-0311
- Email: EM5YT@uvahealth.org
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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
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
This is a prospective observational non-interventional study with the primary objective to define overall survival and time to next treatment, as well as determining the ability to bridge patients to stem cell transplantation for patients with a new diagnosis, primary refractory or relapse of T-cell or NK-cell neoplasm.
Description
Inclusion Criteria:
- Untreated, relapsed, or refractory histologically confirmed mature T-cell or NK-cell neoplasm.
- All subtypes of PTCL are eligible except for T-cell large granular lymphocytic leukemia, cutaneous T-cell lymphoma such as but not limited to mycosis fungoides and transformation, Sézary syndrome, and primary cutaneous CD30+ disorders.
Exclusion Criteria:
- Precursor T/NK neoplasms, T-cell large granular lymphocytic leukemia, cutaneous T-cell lymphoma such as but not limited to mycosis fungoides and transformation, Sézary syndrome, and primary cutaneous CD30+ disorders.
- Adults who are unable to consent, individuals who are not yet adults such as infants, children and teenagers, pregnant women, and prisoners.
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 |
|---|
|
Massachusetts General Hospital, Boston, USA
Participating investigators at various institutions will perform weekly review of their new patients with PTCL (newly diagnosed or relapsed/refractory) on the outpatient and inpatient clinical services with their clinical research teams to identify potential subjects for enrollment based on the above inclusion/exclusion criteria.
Expected enrollment is anticipated to be up to 50 patients per site per year.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall Survival
Time Frame: Up to 4 Years
|
Difference in overall survival (OS) in subjects with primary refractory versus relapsed mature T-cell and NK-cell neoplasms at the completion of 4 years.
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Up to 4 Years
|
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Progression-free Survival
Time Frame: Up to 4 Years
|
Difference in progression-free survival (PFS) in subjects with primary refractory versus relapsed mature T-cell and NK-cell neoplasms at the completion of 4 years.
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Up to 4 Years
|
|
Duration of Response
Time Frame: Up to 4 Years
|
Difference in duration of response in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.
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Up to 4 Years
|
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Time to progression
Time Frame: Up to 4 Years
|
Difference in time to progression in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.
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Up to 4 Years
|
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Number of subjects proceeding to stem cell transplantation
Time Frame: Up to 4 Years
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Difference in number of subjects bridged to stem cell transplantation (allogeneic or autologous) with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.
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Up to 4 Years
|
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Association of tumor specific somatic variants with treatment response
Time Frame: Up to 4 Years
|
Determine whether tumor specific somatic variants identified at the time of diagnosis predicts response to treatment in subjects with mature T-cell and NK-cell neoplasms at the completion of 4 years in at least 50% of the patients.
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Up to 4 Years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Complete Response Rate
Time Frame: Up to 4 Years
|
Difference in complete response rate in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice.
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Up to 4 Years
|
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Overall Response Rate
Time Frame: Up to 4 Years
|
Difference in overall response rate in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice.
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Up to 4 Years
|
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Rate of Adverse Events
Time Frame: Up to 4 Years
|
Frequency of adverse events in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice using the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0.
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Up to 4 Years
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Estimation of overall survival
Time Frame: Up to 4 Years
|
Feasibility of Synthetic Intervention of estimating difference in overall survival as measured by the ability to predict overall survival in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice.
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Up to 4 Years
|
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FACT-Lym
Time Frame: Up to 4 Years
|
Define overall health-related quality of life as measured by the Functional Assessment of Cancer Therapy [FACT-Lym] in in subjects with mature T-cell and NK-cell neoplasms.
5-point Likert, measures 4 domains including physical, social, emotional, and functional.
Ranges from 0-168, with higher scores indicating better quality of life.
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Up to 4 Years
|
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FACIT-COST
Time Frame: Up to 4 Years
|
Characterize the association between health-related quality of life as measured by the Functional Assessment of Cancer Therapy [FACT-Lym] and poverty as measured by the Functional Assessment of Chronic Illness Therapy-Comprehensive Score for Financial Toxicity [FACIT-COST] and by the Health Leads Social Needs Screening Toolkit in subjects with mature T-cell and NK-cell neoplasms.
5-point Likert with the range of 0-44, with higher scores indicate better financial well-being.
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Up to 4 Years
|
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HADS
Time Frame: Up to 4 Years
|
Describe the prevalence of psychological distress as measured by the Hospital Anxiety and Depression Scale [HADS] in subjects with mature T-cell and NK-cell neoplasms and examine whether psychological distress is associated with disease characteristics.
Ranges from 0-21, with higher scores indicating higher distress (anxiety, depression).
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Up to 4 Years
|
|
IES-R
Time Frame: Up to 4 Years
|
Describe the prevalence of the Impact of Event Scale-Revised [IES-R] in subjects with mature T-cell and NK-cell neoplasms and examine whether psychological distress is associated with disease characteristics and measures subjective reaction after a traumatic event.
Ranges from 0-88, with higher scores indicating likely presence of PTSD.
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Up to 4 Years
|
|
Household Material Hardship (HMH)
Time Frame: Upto 4 Years
|
Define the prevalence of household material hardship as measured by the Health Leads Social Needs and examine the association between household material hardship and health-related quality of life (FACT-Lym) in subjects with mature T-cell and NK-T cell neoplasms.
Measures unmet concrete needs across 5 domains - housing, utility, food, transportation, interpersonal safety.
Binary: no (0) or yes (1).
Yes, means a positive screen with higher scores indicate greater material hardship.
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Upto 4 Years
|
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Kessler Psychological Distress Scale - K10
Time Frame: Upto 4 Years
|
Define the prevalence of psychological distress as measured by the Kessler-10 in subjects with mature T-cell and NK-T cell neoplasms and examine whether psychological distress is associated with disease characteristics.
5-point Likert with the range of 0-24, with higher scores suggesting serious PD (psychological distress) or higher likelihood of diagnosable mental illness.
|
Upto 4 Years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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)
January 5, 2024
Primary Completion (Estimated)
January 1, 2028
Study Completion (Estimated)
January 1, 2028
Study Registration Dates
First Submitted
September 5, 2023
First Submitted That Met QC Criteria
September 28, 2023
First Posted (Actual)
October 4, 2023
Study Record Updates
Last Update Posted (Actual)
April 9, 2026
Last Update Submitted That Met QC Criteria
April 6, 2026
Last Verified
April 1, 2026
More Information
Terms related to this study
Other Study ID Numbers
- 23-212
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
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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