Changes in serum uric acid levels after allogeneic hematologic stem cell transplantation: A retrospective cohort study

Review of clonal hematopoiesis, subtypes and its role in neoplasia and different morbidities

Clonal hematopoiesis (CH) is the development of a certain cell lineage which is the cornerstone of hematologic malignancy especially myeloid neoplasms, however, can also be found in old age (6th-7th decade). CH is caused by many different somatic mutations most commonly in DNMT3A, TET2, ASXL1, SF3B1 and TP53. It is detected by different sequencing methods, the most commonly used ones are next generation sequencing (NGS) which can be whole exome, whole genome sequencing or a panel for certain genes. CH is divided into multiple categories depending on the clinical picture associated with it into: clonal monocytosis of undetermined significance (CMUS), clonal hematopoiesis of indeterminate significance (CHIP), clonal cytopenia and monocytosis of undetermined significance (CCMUS) and clonal cytopenia of undetermined significance (CCUS). In order to diagose CH, first other hematologic malignancies must be ruled out CH is also associated with many different entities including lung cancer and some studies have shown that COVID-19 infections are affected by CH. Certain traits and infections are associated with CH including smoking, obesity, and cardiovascular disease. A minority of patients with CH progress to a malignant process (between 0.5 %-2 %) which do not require treatment, however, any patient with CH should be kept under surveillance in order to detect any malignancy early and be treated accordingly. SIMPLE SUMMARY: Clonal hematopoiesis (CH) is considered to be the predisposing factor for development of different hematologic neoplasms. With the help of NGS, patients with CH can be monitored more closely. Several studies have shown that these patients might develop hematologic neoplasms in their lifetime. It has been subdivided into multiple groups according to the clinical picture and/or blood counts.

Common and rare variant associations with clonal haematopoiesis phenotypes

Clonal haematopoiesis involves the expansion of certain blood cell lineages and has been associated with ageing and adverse health outcomes^1-5. Here we use exome sequence data on 628,388 individuals to identify 40,208 carriers of clonal haematopoiesis of indeterminate potential (CHIP). Using genome-wide and exome-wide association analyses, we identify 24 loci (21 of which are novel) where germline genetic variation influences predisposition to CHIP, including missense variants in the lymphocytic antigen coding gene LY75, which are associated with reduced incidence of CHIP. We also identify novel rare variant associations with clonal haematopoiesis and telomere length. Analysis of 5,041 health traits from the UK Biobank (UKB) found relationships between CHIP and severe COVID-19 outcomes, cardiovascular disease, haematologic traits, malignancy, smoking, obesity, infection and all-cause mortality. Longitudinal and Mendelian randomization analyses revealed that CHIP is associated with solid cancers, including non-melanoma skin cancer and lung cancer, and that CHIP linked to DNMT3A is associated with the subsequent development of myeloid but not lymphoid leukaemias. Additionally, contrary to previous findings from the initial 50,000 UKB exomes⁶, our results in the full sample do not support a role for IL-6 inhibition in reducing the risk of cardiovascular disease among CHIP carriers. Our findings demonstrate that CHIP represents a complex set of heterogeneous phenotypes with shared and unique germline genetic causes and varied clinical implications.

Application of latent class analysis in diagnosis of graft-versus-host disease by serum markers after allogeneic haematopoietic stem cell transplantation

Graft-versus-host disease (GVHD) is one of the major causes of morbidity and mortality in 25–70% of patients. The gold standard (GS) test to confirm the diagnosis of GVHD has some limitations. The current study was conducted to evaluate the accuracy of three serum markers in diagnosing GVHD without a GS. 94 patients who were hospitalized for allogeneic transplantation were studied. Mean levels from day of haematopoietic stem cell transplantation (HSCT) to discharge of serum uric acid (UA), lactate dehydrogenase (LDH), and creatinine (Cr) were measured for all participants. We adapted a Bayesian latent class analysis to modelling the results of each marker and combination of markers. The Sensitivity, Specificity, and area under receiver operating characteristic curve (AUC) for LDH were as 51%, 81%, and 0.70, respectively. For UA, the Sensitivity, Specificity, and AUC were 54%, 75%, and 0.71, respectively. The estimated Sensitivity, Specificity, and AUC of Cr were 72%, 94%, and 0.86, respectively. Adjusting for covariates, the combined Sensitivity, Specificity, and AUC of the optimal marker combination were 76%, 83%, and 0.94, respectively. To conclude, our findings suggested that Cr had the strongest diagnosis power for GVHD. Moreover, the classification accuracy of the three-marker combination outperforms the other combinations.

Association of uric acid levels before start of conditioning with mortality after allogeneic hematopoietic stem cell transplantation - a prospective, non-interventional study of the EBMT Transplant Complication Working Party

Uric acid is a danger signal contributing to inflammation. Its relevance to allogeneic stem cell transplantation (alloSCT) derives from preclinical models where the depletion of uric acid led to improved survival and reduced graft-versus-host disease (GvHD). In a clinical pilot trial, peri-transplant uric acid depletion reduced acute GvHD incidence. This prospective international multicenter study aimed to investigate the association of uric acid serum levels before start of conditioning with alloSCT outcome. We included patients with acute leukemia, lymphoma or myelodysplastic syndrome receiving a first matched sibling alloSCT from peripheral blood, regardless of conditioning. We compared outcomes between patients with high and low uric acid levels with univariate- and multivariate analysis using a cause-specific Cox model. Twenty centers from 10 countries reported data on 366 alloSCT recipients. There were no significant differences in terms of baseline comorbidity and disease stage between the high- and low uric acid group. Patients with uric acid levels above median measured before start of conditioning did not significantly differ from the remaining in terms of acute GvHD grades II-IV incidence (Hazard ratio [HR] 1.5, 95% Confidence interval [CI]: 1.0-2.4, P=0.08). However, they had significantly shorter overall survival (HR 2.8, 95% CI: 1.7-4.7, P<0.0001) and progression free survival (HR 1.6, 95% CI: 1.1-2.4, P=0.025). Non-relapse mortality was significantly increased in alloSCT recipients with high uric acid levels (HR 2.7, 95% CI: 1.4-5.0, P=0.003). Finally, the incidence of relapse after alloSCT was increased in patients with higher uric acid levels (HR 1.6, 95% CI: 1.0-2.5, P=0.04). We conclude that high uric acid levels before the start of conditioning correlate with increased mortality after alloSCT.