Kim, Won Seog

PURPOSE In patients with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL), brentuximab vedotin (BV) as monotherapy or combined with either lenalidomide (Len) or rituximab (R) has demonstrated efficacy with acceptable safety. We evaluated the efficacy and safety of BV + Len + R versus placebo + Len + R in patients with R/R DLBCL. METHODS ECHELON-3 is a randomized, double-blind, placebo-controlled, multicenter, phase 3 trial comparing BV + Len + R with placebo + Len + R in patients with R/R DLBCL. Patients received BV or placebo once every 3 weeks, Len once daily, and R once every 3 weeks. The primary end point was overall survival (OS), and secondary end points included investigator-assessed progression-free survival (PFS) and objective response rate (ORR). A prespecified interim analysis was performed after 134 OS events, with two-sided P = .0232 as the efficacy boundary. RESULTS Patients (N = 230) were randomly assigned to receive BV + Len + R (n = 112) or placebo + Len + R (n = 118). Two patients in the placebo arm did not receive treatment. With a median follow-up of 16.4 months, the median OS was 13.8 months with BV + Len + R versus 8.5 months with placebo + Len + R (hazard ratio, 0.63 [95% CI, 0.45 to 0.89]; two-sided P = .009). The median PFS was 4.2 months with BV + Len + R versus 2.6 months with placebo + Len + R (hazard ratio, 0.53 [95% CI, 0.38 to 0.73]; two-sided P < .001). The ORR was 64% ([95% CI, 55 to 73]; two-sided P < .001) with BV + Len + R and 42% (95% CI, 33 to 51) with placebo + Len + R; complete response rates were 40% and 19%, respectively. Treatment-emergent adverse events (AEs) occurred in 97% of patients in both arms. In both arms, the most common treatment-emergent AEs were neutropenia, thrombocytopenia, diarrhea, and anemia. CONCLUSION BV + Len + R demonstrated a statistically significant survival benefit with a manageable safety profile in heavily pretreated patients with R/R DLBCL.

PURPOSE Peripheral T-cell lymphoma (PTCL) includes heterogeneous clinicopathologic entities with numerous diagnostic and treatment challenges. We previously defined robust transcriptomic signatures that distinguish common PTCL entities and identified two novel biologic and prognostic PTCL-not otherwise specified subtypes (PTCL-TBX21 and PTCL-GATA3). We aimed to consolidate a gene expression–based subclassification using formalin-fixed, paraffin-embedded (FFPE) tissues to improve the accuracy and precision in PTCL diagnosis. MATERIALS AND METHODS We assembled a well-characterized PTCL training cohort (n = 105) with gene expression profiling data to derive a diagnostic signature using fresh-frozen tissue on the HG-U133plus2.0 platform (Affymetrix, Inc, Santa Clara, CA) subsequently validated using matched FFPE tissues in a digital gene expression profiling platform (nCounter, NanoString Technologies, Inc, Seattle, WA). Statistical filtering approaches were applied to refine the transcriptomic signatures and then validated in another PTCL cohort (n = 140) with rigorous pathology review and ancillary assays. RESULTS In the training cohort, the refined transcriptomic classifier in FFPE tissues showed high sensitivity (> 80%), specificity (> 95%), and accuracy (> 94%) for PTCL subclassification compared with the fresh-frozen–derived diagnostic model and showed high reproducibility between three independent laboratories. In the validation cohort, the transcriptional classifier matched the pathology diagnosis rendered by three expert hematopathologists in 85% (n = 119) of the cases, showed borderline association with the molecular signatures in 6% (n = 8), and disagreed in 8% (n = 11). The classifier improved the pathology diagnosis in two cases, validated by clinical findings. Of the 11 cases with disagreements, four had a molecular classification that may provide an improvement over pathology diagnosis on the basis of overall transcriptomic and morphological features. The molecular subclassification provided a comprehensive molecular characterization of PTCL subtypes, including viral etiologic factors and translocation partners. CONCLUSION We developed a novel transcriptomic approach for PTCL subclassification that facilitates translation into clinical practice with higher precision and uniformity than conventional pathology diagnosis.

Abstract Since the publication of the Revised European-American Classification of Lymphoid Neoplasms in 1994, subsequent updates of the classification of lymphoid neoplasms have been generated through iterative international efforts to achieve broad consensus among hematopathologists, geneticists, molecular scientists, and clinicians. Significant progress has recently been made in the characterization of malignancies of the immune system, with many new insights provided by genomic studies. They have led to this proposal. We have followed the same process that was successfully used for the third and fourth editions of the World Health Organization Classification of Hematologic Neoplasms. The definition, recommended studies, and criteria for the diagnosis of many entities have been extensively refined. Some categories considered provisional have now been upgraded to definite entities. Terminology for some diseases has been revised to adapt nomenclature to the current knowledge of their biology, but these modifications have been restricted to well-justified situations. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many disease entities. These changes will have an impact on optimal clinical management. The conclusions of this work are summarized in this report as the proposed International Consensus Classification of mature lymphoid, histiocytic, and dendritic cell tumors.