sensitized an expanded panel of eight cHL cells towards the B-cell Non-Hodgkin's lymphoma-tailored small compound inhibitors of BCR signaling, ibrutinib and idelalisib, where dramatic death rates were observed after priming with two restore agents. Further investigations, including pre-clinical mouse trials, are currently in progress and will be reported at the meeting. Conclusions: In essence, we present here a novel "Restore & Target" strategy that builds on the re-expression of a lost tumor cell phenotype in the first place followed by it specific exploration as druggable vulnerability in a subsequent step. Such a strategy would expand the arsenal of treatment options for cHL by a "chemo-free" combination, and might not only be of interest for relapsed or refractory patients.
Summary Predictors of chronic lymphocytic leukaemia (CLL) transformation to Richter syndrome (RS) are not established and were investigated in 185 consecutive CLL cases. Actuarial incidence of RS (n = 17; all diffuse large B‐cell lymphomas) at 10 years was 16·2% (95% confidence interval: 8·0–24·4%). At CLL diagnosis, prognosticators of RS by univariate analysis were IGHV homology ≥98% (P = 0·006), IGHV4‐39 usage (P < 0·001), del13q14 absence (P = 0·004), expression of CD38 (P < 0·001) and ZAP70 (P = 0·004), size (P < 0·001) and number (P < 0·001) of lymph nodes, advanced Binet stage (P = 0·002), and lactate dehydrogenase (P < 0·001). Multivariate analysis, performed separately for biological and clinical variables, identified CD38 expression [Hazard ratio (HR) = 4·26; P = 0·018], IGHV4‐39 usage (HR = 4·29; P = 0·018), and lymph node size ≥3 cm (HR = 9·07; P < 0·001) as independent RS prognosticators. A multivariate model simultaneously analysing biological and clinical variables identified lymph node size ≥3 cm (HR = 6·51; P = 0·001) and del13q14 absence (HR = 4·08; P = 0·031) as independent RS prognosticators. Risk factors of CLL transformation differed from risk factors of CLL progression. These results suggest that CD38 and del13q14 may identify biological subsets of CLL with different RS predisposition. Predominant nodal disease, CD38 expression, IGHV4‐39 usage, and absence of del13q14 may help in predicting RS at CLL diagnosis. Close monitoring and a careful biopsy policy are needed in patients carrying transformation risk factors.
We recommend that each and every case observed be recorded, to enable the true extent of human dirofilariasis in Italy to be assessed, and that a reference centre be set up in the area to collate the data. The importance of the histopathologist's role in the diagnosis is stressed.
Purpose: Few biological prognosticators are useful for prediction of Richter syndrome (RS), representing the transformation of chronic lymphocytic leukemia (CLL) to aggressive lymphoma. Stereotyped B-cell receptors (BCR) may have prognostic effect in CLL progression. We tested the prognostic effect of stereotyped BCR for predicting RS transformation. Experimental Design: The prevalence of stereotyped BCR was compared in RS (n = 69) versus nontransformed CLL (n = 714) by a case-control analysis. Subsequently, the effect of stereotyped BCR at CLL diagnosis on risk of RS transformation was actuarially assessed in a consecutive CLL series (n = 753).Results: RS (n = 69) displayed a higher prevalence of stereotyped BCR (P < 0.001) compared with nontransformed CLL. The actuarial risk of RS transformation was significantly higher in CLL carrying stereotyped BCR (P < 0.001). Among BCR subsets most represented in CLL, subset 8 using IGHV4-39/IGHD6-13/IGHJ5 carried the highest risk of RS transformation [hazard ratio (HR), 24.50; P < 0.001]. Multivariate analysis selected stereotyped BCR (HR, 3.33; P = 0.001) and IGHV4-39 usage (HR, 4.03; P = 0.004) as independent predictors of RS transformation.The combination of IGHV4-39 usage and stereotyped BCR in the same patient identified CLL with a very high risk of RS transformation (5-year risk, 68.7%). The risk carried by stereotyped BCR and IGHV4-39 usage was specific for RS transformation and had no effect on CLL progression without transformation. Conclusions: Analysis of BCR features may help identify CLL patients at risk of RS. A close monitoring and a careful biopsy policy may help early recognition of RS in CLL patients using stereotyped BCR, particularly if combined with IGHV4-39.
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