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.
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Overall Survival
Timeframe: Up to 4 Years
Progression-free Survival
Timeframe: Up to 4 Years
Duration of Response
Timeframe: Up to 4 Years
Time to progression
Timeframe: Up to 4 Years
Number of subjects proceeding to stem cell transplantation
Timeframe: Up to 4 Years
Association of tumor specific somatic variants with treatment response
Timeframe: Up to 4 Years