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A Global Study of the PETAL Consortium

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06067347
Acronym
PETAL
Enrollment
1200
Registered
2023-10-04
Start date
2024-01-05
Completion date
2028-01-01
Last updated
2026-04-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

T-Cell and NK-Cell Neoplasm

Brief summary

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.

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.

Interventions

None listed

Sponsors

Massachusetts General Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frameDescription
Overall SurvivalUp to 4 YearsDifference in overall survival (OS) in subjects with primary refractory versus relapsed mature T-cell and NK-cell neoplasms at the completion of 4 years.
Progression-free SurvivalUp to 4 YearsDifference 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.
Duration of ResponseUp to 4 YearsDifference 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.
Time to progressionUp to 4 YearsDifference 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.
Number of subjects proceeding to stem cell transplantationUp to 4 YearsDifference 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.
Association of tumor specific somatic variants with treatment responseUp to 4 YearsDetermine 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.

Secondary

MeasureTime frameDescription
Complete Response RateUp to 4 YearsDifference in complete response rate in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice.
Overall Response RateUp to 4 YearsDifference in overall response rate in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice.
Rate of Adverse EventsUp to 4 YearsFrequency 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.

Countries

Australia, Japan, South Africa, United States

Contacts

CONTACTSalvia Jain, MD
salvia.jain@mgh.harvard.edu650-224-0183
CONTACTForum Bhanushali
fbhanushali@bwh.harvard.edu857-757-0966

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 10, 2026