ABSTRACT
The addition of Venetoclax (VEN) to Hypomethylating agents (HMAs) significantly improves the probability of complete remission and prolongs survival in patients with Acute Myeloid Leukemia (AML) when compared to HMA alone. However, the mutated clone composition may impact the probability of response and its duration. Here, we describe the molecular profile of a patient with AML rapidly evolved from a previous therapy-related-Chronic MyeloMonocytic Leukemia, who achieved safely complete remission after treatment with the VEN/Azacitidine combination, even in the presence of SARS-COVID-2 infection. The targeted NGS analysis showed that the VEN/AZA combination led to the eradication of the FLT3-ITD and RUNX1 mutated clone/s primarily associated with AML evolution, and subsequently, the SRSF2, NRAS, and ASXL1 mutated clone/s. This case also underlines the importance of the sequential use of targeted NGS for disease monitoring: the deep molecular remission achieved by this patient allowed to safely guide adjustments of drug dosage and treatment intervals in the presence of neutropenia, helping to rule out disease progression.
ABSTRACT
The aim of this study was to evaluate the role of baseline lymphocyte subset counts in predicting the outcome and severity of COVID-19 patients. Hospitalized patients confirmed to be infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were included and classified according to in-hospital mortality (survivors/nonsurvivors) and the maximal oxygen support/ventilation supply required (nonsevere/severe). Demographics, clinical and laboratory data, and peripheral blood lymphocyte subsets were retrospectively analyzed. Overall, 160 patients were retrospectively included in the study. T-lymphocyte subset (total CD3+, CD3+ CD4+, CD3+ CD8+, CD3+ CD4+ CD8+ double positive [DP] and CD3+ CD4- CD8- double negative [DN]) absolute counts were decreased in nonsurvivors and in patients with severe disease compared to survivors and nonsevere patients (p < 0.001). Multivariable logistic regression analysis showed that absolute counts of CD3+ T-lymphocytes < 524 cells/µl, CD3+ CD4+ < 369 cells/µl, and the number of T-lymphocyte subsets below the cutoff (T-lymphocyte subset index [TLSI]) were independent predictors of in-hospital mortality. Baseline T-lymphocyte subset counts and TLSI were also predictive of disease severity (CD3+ < 733 cells/µl; CD3+ CD4+ < 426 cells/µl; CD3+ CD8+ < 262 cells/µl; CD3+ DP < 4.5 cells/µl; CD3+ DN < 18.5 cells/µl). The evaluation of peripheral T-lymphocyte absolute counts in the early stages of COVID-19 might represent a useful tool for identifying patients at increased risk of unfavorable outcomes.