The European LeukemiaNet (ELN) criteria define the adverse genetic factors of acute myeloid leukemia (AML). AML with adverse genetic factors uniformly shows resistance to standard chemotherapy and is associated with poor prognosis. Here, we focus on the biological background and real-world etiology of these adverse genetic factors and then describe a strategy to overcome the clinical disadvantages in terms of targeting pivotal molecular mechanisms. Different adverse genetic factors often rely on common pathways. KMT2A rearrangement, DEK-NUP214 fusion, and NPM1 mutation are associated with the upregulation of HOX genes. The dominant tyrosine kinase activity of the mutant FLT3 or BCR-ABL1 fusion proteins is transduced by the AKT-mTOR, MAPK-ERK, and STAT5 pathways. Concurrent mutations of ASXL1 and RUNX1 are associated with activated AKT. Both TP53 mutation and mis-expressed MECOM are related to impaired apoptosis. Clinical data suggest that adverse genetic factors can be found in at least one in eight AML patients and appear to accumulate in relapsed/refractory cases. TP53 mutation is associated with particularly poor prognosis. Molecular-targeted therapies focusing on specific genomic abnormalities, such as FLT3, KMT2A, and TP53, have been developed and have demonstrated promising results.

Soluble B-cell maturation antigen (sBCMA) is elevated on multiple myeloma (MM) cells. We investigated whether sBCMA levels correlated with other myeloma tumor volume indicators and its utility in monitoring oligosecretory/nonsecretory (O-S/Non-S) MM. In 115 patients with newly diagnosed MM, sBCMA was compared with M-protein levels, bone marrow plasma cells (BMPCs), circulating tumor cells (CTCs), and total diffusion volume (tDV; estimated by whole-body diffusion-weighted magnetic resonance imaging) at diagnosis. sBCMA levels increased significantly with International Staging System stage, chromosome 1q21 gain/amplification, and CTC levels. sBCMA also correlated strongly with %BMPC (r = 0.65) and moderately with tDV (r = 0.55) and paraprotein levels (involved immunoglobulin in IgG and IgA subtypes, r = 0.44 and 0.4; involved free light-chain levels in light-chain-only MM, r = 0.61, all P < .05). Longitudinal changes in sBCMA were consistent with disease status in both 17 O-S/Non-S and other secretory MM cases. Furthermore, sBCMA levels increased as early as 6 months prerelapse in almost all O-S/Non-S relapsed patients. Thus, sBCMA correlates strongly with total tumor volume in MM, as assessed using different modalities. We suggest that sBCMA is useful, not only for monitoring responses in patients with O-S/Non-S MM but also for early relapse detection and prediction.

Summary: This study reports the relationship between CD38⁺ regulatory T cells (Tregs) and messenger RNA coronavirus disease 2019 (mRNA‐COVID‐19) vaccination in 60 patients with plasma cell dyscrasia. Patients treated with anti‐CD38 monoclonal antibodies (mAbs) had significantly lower CD38⁺ Tregs than those not treated (0.9 vs. 13.2/μl). Late‐responders, whose antibody titres increased from weeks 4–12 after the second vaccination, had significantly lower CD38⁺ Treg counts than non‐late‐responders (2.5 vs. 10.3/μl). Antibody titres in patients with lower CD38⁺ Treg levels were maintained from weeks 4–12 but decreased in those with higher CD38⁺ Treg levels. Therefore, depletion of CD38⁺ Tregs by anti‐CD38 mAbs may induce a durable response to mRNA‐COVID‐19 vaccination.

To elucidate the relationship between pre-treatment radiomic parameters and the proportions of various tumour-infiltrating (TI) cells, we retrospectively analysed the association of total metabolic tumour volume (TMTV) and TI cells on biopsied tumour lesions in 171 patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). The surface markers of TI cells were analysed by multicolour flow cytometry using a dissected single-cell suspension. In examining the correlation between TI cells and PET-derived parameters (SUVmax, TMTV, and total lesion glycolysis), intratumoural cell types minimally influenced the results, except for a weak negative correlation between CD4+ cells and SUVmax (R=-0.16, P=0.045). Even for the lesion fluorodeoxyglucose uptake at the biopsied site, CD19+ cells (indicative of malignant burden) showed only a weak correlation with the highest SUV (R=0.21, P=0.009), whereas CD3+ (R=-0.25, P=0.002) and CD4+ cells (R=-0.29, P