Validation of mutated CEBPA bZIP as a distinct prognosis entity in acute myeloid leukemia: a study by the Spanish PETHEMA registry.

Not available.

Failure of ALL recognition by CAR T cells: a review of CD 19-negative relapses after anti-CD 19 CAR-T treatment in B-ALL.

The use of chimeric antigen receptor (CAR) T lymphocytes in the treatment of refractory or relapsed (R/R) B cell acute lymphoblastic leukemia (B-ALL) has meant a radical change in the prognosis of these patients, whose chances of survival with conventional treatment are very low. The current probability of event-free survival by R/R B-ALL patients treated using anti-CD 19 CART cell therapy is as high as 50-60% at 1.5 years, which is a very important advance for this group of very ill patients. Although most patients (70 to 94%) achieve complete remission (CR), the main problem continues to be relapse of the disease. Most relapses, both in clinical trials and real-world evidence, are due to failure of CAR-T cell expansion or limited CAR-T persistence. However, despite the adequate functioning of infused CART lymphocytes, the tumor cells of an important group of patients manage to evade CAR-T attack, resulting in a CD 19-negative relapse. Several mechanisms have been described that may be able to produce the escape of leukemic cells, such as acquired mutations and alternative splicing of the CD19 antigen, CD19 epitope loss or masking, leukemia lineage switching, and trogocytosis. In the present review, we comprehensively analyze the leukemic cell escape mechanisms, the incidence of CD19-negative relapse reported in clinical trials and real-world evidence (outside clinical trials), and provide an update on the main lines of current research into the prevention of leukemia evasion.

Identifying prognostic gene panels in acute myeloid leukemia.

INTRODUCTION: Acute myeloid leukemia (AML) is a heterogeneous disease currently including 12 entities defined by genetic findings with remarkable differences in prognosis and targeted therapies availability. Therefore, identification of genetic abnormalities by efficient techniques has become a necessary tool in routine clinical practice for AML patients. AREAS COVERED: In the present review, we will focus on our current knowledge of relevant prognosis gene mutations in AML, as recently updated by European Leukemia Net Leukemia risk classification. EXPERT OPINION: About 25% of newly diagnosed younger AML patients will be promptly classified as favorable prognosis by demonstrating the presence of NPM1 mutations or CBF rearrangements by qRTPCR, allowing for implementing molecular measurable residual disease-guided chemotherapy-based protocols. In fit AML patients, rapid detection of FLT3ITD is mandatory to associate midostaurin or quizartinib to treatment and assignment to intermediate prognosis. Conventional cytogenetics and FISH still have a role for detection adverse prognosis karyotypes and KMT2A, MECOM, or NUP98 gene rearrangements. Further genetic characterization is performed with NGS panels including favorable prognosis gene CEBPA bZIP and adverse prognosis genes, such as TP53 and myelodysplasia associated genes.

Evolving Risk Classifications in AML in a Real-Life Scenario: After Changes upon Changes, Is It More and More Adverse?

Acute myeloid leukemia (AML) is a heterogeneous disease classified into three risk categories (favorable, intermediate and adverse) with significant differences in outcomes. Definitions of risk categories evolve overtime, incorporating advances in molecular knowledge of AML. In this study, we analyzed the impacts of evolving risk classifications in 130 consecutive AML patients in a single-center real-life experience. Complete cytogenetic and molecular data were collected using conventional qPCR and targeted Next Generation Sequencing (NGS). Five-year OS probabilities were consistent among all classification models (roughly 50-72%, 26-32% and 16-20% for favorable, intermediate and adverse risk groups, respectively). In the same way, the medians of survival months and prediction power were similar in all models. In each update, around 20% of patients were re-classified. The adverse category consistently increased over time (31% in MRC, 34% in ELN2010, 50% in ELN2017), reaching up to 56% in the recent ELN2022. Noteworthily, in multivariate models, only age and the presence of TP53 mutations remained statistically significant. With updates in risk-classification models, the percentage of patients assigned to the adverse group is increasing, and so will the indications for allogeneic stem cell transplantation.