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S100A8/A9 is a proinflammatory protein and plays an essential role in the pathogenesis of myelodysplastic syndromes (MDS) via the S100A8/A9-Toll-like receptors axis. While S100A8/A9 levels have been used as biomarkers in many inflammatory diseases, their clinical relevance has not been conclusively resolved in MDS. To address this, we used an enzyme-linked immunosorbent assay to quantify S100A8/A9 heterodimers in bone marrow (BM) plasma from 215 MDS patients and compared S100A8/A9 levels across patients with various disease risks and genotypes. S100A8/A9 levels correlated with ASXL1 variant allele frequencies significantly. Moreover, mutant ASXL1 with concurrent RUNX1, STAG2, ZRSR2, or EZH2 mutations was associated with higher S100A8/A9 levels. We further showed that higher S100A8/A9 independently predicted inferior leukemia-free survival and overall survival in MDS patients, irrespective of age, Revised International Prognostic Scoring System subgroups, and known detrimental mutations. Lastly, through deep-sequenced transcriptomic analysis, we demonstrated that higher S100A8/A9 in the BM intimated a perturbed microenvironment with enhanced myeloid-derived suppressor cell-mediated tumor immune escape signal, altered metabolism, and impairment in the functions and quantities of CD8+ T cells and NK cells. S100A8/A9 in the BM microenvironment may be a potential biomarker in the prognostication of MDS and target for novel therapy.

Myelodysplastic syndrome (MDS) comprised a heterogeneous group of diseases. The prognosis of patients varies even in the same risk groups. Searching for novel prognostic markers is warranted. Leukemic stem cells (LSCs) are responsible for chemoresistance and relapse in leukemia. Recently, expressions of 17 genes related to stemness of LSCs were found to be associated with prognosis in acute myeloid leukemia patients. However, the clinical impact of LSC genes expressions in MDS, a disorder arising from hematopoietic stem cells, remains unclear. We analyzed expression profile of the 17 stemness-related genes in primary MDS patients and identified expression of 4 genes (LAPTM4B, NGFRAP1, EMP1, and CPXM1) were significantly correlated with overall survival (OS). We constructed an LSC4 scoring system based on the weighted sums of the expression of 4 genes and explored its clinical implications in MDS patients. Higher LSC4 scores were associated with higher revised International Prognostic Scoring System (IPSS-R) scores, complex cytogenetics, and mutations in RUNX1, ASXL1, and TP53. High-score patients had significantly shorter OS and leukemia-free survival (LFS), which was also confirmed in 2 independent validation cohorts. Subgroup analysis revealed the prognostic significance of LSC4 scores for OS remained valid across IPSS-R lower- and higher-risk groups. Furthermore, higher LSC4 score was an independent adverse risk factor for OS and LFS in multivariate analysis. In summary, LSC4 score can independently predict prognosis in MDS patients irrespective of IPSS-R risks and may be used to guide the treatment of MDS patients, especially lower-risk group in whom usually only supportive treatment is given.

Key Points CIBERSORTx analytical approach reveals M0, M2, and eosinophil fractions in the BM to be the most relevant prognostic factors in patients with MDS.High-risk immune cell scores correlate with NF-κB signaling, oxidative stress, and leukemic stem cell signature pathways., Visual Abstract, Aside from cell intrinsic factors such as genetic alterations, immune dysregulation in the bone marrow (BM) microenvironment plays a role in the development and progression of myelodysplastic syndromes (MDS). However, the prognostic implications of various immune cells in patients with MDS remain unclear. We adopted CIBERSORTx to estimate the relative fractions of 22 subtypes of immune cells in the BM of 316 patients with MDS and correlated the results with clinical outcomes. A lower fraction of unpolarized M0 macrophages and higher fractions of M2 macrophages and eosinophils were significantly associated with inferior survival. An immune cell scoring system (ICSS) was constructed based on the proportion of these 3 immune cells in the BM. The ICSS high-risk patients had higher BM blast counts, higher frequencies of poor-risk cytogenetics, and more NPM1, TP53, and WT1 mutations than intermediate- and low-risk patients. The ICSS could stratify patients with MDS into 3 risk groups with distinct leukemia-free survival and overall survival among the total cohort and in the subgroups of patients with lower and higher disease risk based on the revised International Prognostic Scoring System (IPSS-R). The prognostic significance of ICSS was also validated in another independent cohort. Multivariable analysis revealed that ICSS independently predicted prognosis, regardless of age, IPSS-R, and mutation status. Bioinformatic analysis demonstrated a significant correlation between high-risk ICSS and nuclear factor κB signaling, oxidative stress, and leukemic stem cell signature pathways. Further studies investigating the mechanistic insight into the crosstalk between stem cells and immune cells are warranted.