Outcomes of DA-EPOCH-R induction plus autologous transplant consolidation for double hit lymphoma.
Andy I ChenJessica T LeonardCraig Y OkadaNathan D GayKari ChanskyGuang FanJennifer B DunlapPhilipp W RaessRita M BrazielAlex StentzRichard T MaziarzPublished in: Leukemia & lymphoma (2017)
High-grade B cell lymphoma with MYC and BCL2 rearrangements (double hit) has a poor prognosis with standard R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone). We report here a treatment algorithm of DA-EPOCH-R (dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, rituximab) followed by BEAM (carmustine, etoposide, cytarabine, melphalan) autologous transplant in 36 cases of previously untreated double hit lymphoma (DHL) from 2010 to 2015. A high risk International Prognostic Index (IPI) was present in 42% of cases. At median follow-up of 38 months, the 2-year progression free survival (PFS) and overall survival (OS) were 69% (95% CI 54-84%) and 71% (95% CI 56-86%). Eight cases were refractory to induction with 1-year OS 20%, and no factors were predictive for primary refractory disease. Of 28 responders, 17 proceeded to transplant while 11 were observed, primarily due to age and co-morbidities. By 24-week landmark analysis after diagnosis, the 2-year PFS and OS were both 94% (95% CI 83-100%) vs 79% (95% CI 52-100%) for transplant vs observation (p = .59 for both PFS and OS). There was no significant benefit to consolidative transplant in our series, and primary refractory DHL needs novel approaches.
Keyphrases
- diffuse large b cell lymphoma
- poor prognosis
- high dose
- free survival
- high grade
- long non coding rna
- bone marrow
- drug delivery
- machine learning
- acute myeloid leukemia
- clinical trial
- stem cells
- randomized controlled trial
- transcription factor
- cell therapy
- cancer therapy
- deep learning
- study protocol
- mesenchymal stem cells
- neural network
- weight loss
- replacement therapy