Richter transformation in chronic lymphocytic leukemia (CLL)-a pooled analysis of German CLL Study Group (GCLLSG) front line treatment trials.
Othman Al-SawafS RobrechtJ BahloA M FinkP CramerJ V TresckowE LangeM KiehlM DreylingM RitgenJ DürigE TauschC SchneiderS StilgenbauerC M WendtnerK Fischernull GoedeM HallekB EichhorstPublished in: Leukemia (2020)
Richter transformation (RT) is defined as development of aggressive lymphoma in patients (pts) with CLL. The incidence rates of RT among pts with CLL range from 2 to 10%. The aim of this analysis is to report the frequency, characteristics and outcomes of pts with RT enrolled in trials of the GCLLSG. A total of 2975 pts with advanced CLL were reviewed for incidence of RT. Clinical, laboratory, and genetic data were pooled. Time-to-event data, starting from time of CLL diagnosis, of first-line therapy or of RT diagnosis, were analyzed by Kaplan-Meier methodology. One hundred and three pts developed RT (3%): 95 pts diffuse large B-cell lymphoma (92%) and eight pts Hodgkin lymphoma (8%). Median observation time was 53 months (interquartile range 38.1-69.5). Median OS from initial CLL diagnosis for pts without RT was 167 months vs 71 months for pts with RT (HR 2.64, CI 2.09-3.33). Median OS after diagnosis of RT was 9 months. Forty-seven pts (46%) received CHOP-like regimens for RT treatment. Three pts subsequently underwent allogeneic and two pts autologous stem cell transplantation. Our findings show that within a large cohort of GCLLSG trial participants, 3% of the pts developed RT after receiving first-line chemo- or chemoimmunotherapy. This dataset confirms the ongoing poor prognosis and high mortality associated with RT.
Keyphrases
- chronic lymphocytic leukemia
- diffuse large b cell lymphoma
- stem cell transplantation
- poor prognosis
- long non coding rna
- end stage renal disease
- risk factors
- radiation therapy
- clinical trial
- study protocol
- chronic kidney disease
- mesenchymal stem cells
- high dose
- type diabetes
- combination therapy
- skeletal muscle
- stem cells
- big data
- drug delivery
- cardiovascular events
- machine learning
- adipose tissue
- cell therapy
- peritoneal dialysis
- rectal cancer
- insulin resistance
- copy number
- patient reported