Illustrative estimate only - not verified by this sponsor. Contact the study team for actual compensation.
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.
What happens when you apply
Reach out via phone or email to express interest
Brief call to discuss your health history
Medical screening at the research site
Begin your journey in the study
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.
imaguineapig pulls live data from ClinicalTrials.gov (NIH/NLM).Illustrative estimate only - not verifiedPay estimates are approximate ranges based on study type and are not confirmed by sponsors — actual compensation may differ. Eligibility indicators use limited criteria (age, sex) only. We do not provide medical advice. Always contact the study team directly to confirm compensation, full eligibility, and risks before enrolling.