Comprehensive study of chromosomal CNVs and genomic variations predicting overall survival in Myelodysplastic syndromes.

INTRODUCTION: Myelodysplastic syndrome (MDS) is a heterogeneous disease characterized by cytopenia, marrow dysplasia and has a propensity to develop into acute myeloid leukemia (AML). The disease progression is majorly affected by genetic defects. However, about 40% - 50% of patients with MDS present with a normal karyotype and develop different courses of disease. Hence there remains a room to advance the biological understanding and to find molecular prognostic markers for cytogenetically normal (CN) MDS. METHODS: We performed a high-resolution CGH + SNP array along with NGS of 77 primary diagnosed MDS patients and also they were clinically followed up. RESULTS: Our study revealed 82 clinically significant genomic lesions (losses/gains) in 49% of MDS patients. CGH + SNP array reduced the proportion of normal karyotype by 30%. SNP array in combination with NGS confirmed the biallelic loss of function of the TP53 gene (2/6), which is a clinically relevant biomarker and new genetic-based MDS entity i.e. MDS-biTP53 as per the new WHO classification 2022. Genomic region 2p22.3 presented with frequent lesions and also with a more hazard ratio (2.7, 95% CI 0.37 - 21) when analyzed by Kaplan Meier survival analysis. CONCLUSION: CGH + SNP array changed the cytogenetic and IPSS-R risk group in 18% and 13% of patients respectively with an improved prediction of prognosis. This study emphasizes the cytogenetic heterogeneity of MDS and highlights that abnormality with chromosome 2 may have a diagnostic and prognostic impact.

Over expression of mTOR gene predicts overall survival in myelodysplastic syndromes.

BACKGROUND: Myelodysplastic syndromes (MDS) is defined as heterogenous disease, it contains heterogenous leukemic stem cells with various degree of cell differentiation. The perturbation of genes involved in myeloid progenitor cell growth, differentiation and proliferation lead to morphologic dysplasia, maturation arrest, ineffective hematopoiesis hence the cytopenias and propensity to develop into acute myeloid leukemia (AML). Heterogeneous subsets of MDS patients have been defined by their clinical and biologic abnormalities. These different features lead to the development of different prognostic system; however, these approaches are limited in predicting clinical course, and management of patients remains challenging given the uncertainty of the time course of disease progression. It is of importance to identify transcriptomic marker causing maturational and differentiation arrest which could help in understanding the pathogenesis of disease. METHODS AND RESULTS: We have studied differential gene expression profiles (GEPs) in CD34 + marrow cells from myelodysplastic syndrome (MDS) patients (n = 14) and control CD34 + cells using Affymetrix Human Clariom S microarray with 20,000 well annotated genes. We found 4165 genes significantly (p < 0.05) differentially expressed in MDS. Using stringent bioinformatics analyses, we were able to identify few genes (MAPK8, JUNB, mTOR) which were differentially upregulated i.e. 5.39, 73.61 and 2.7 fold change observed in MDS than control and also validated (n = 60) these genes by RT - qPCR. Kaplan - Meier survival analysis indicated that MAPK8 and JUNB could be poor prognostic marker as patients with increased expression showed poor survival, whereas surprisingly mTOR increased expression proved to be good prognostic marker. The correlation analysis showed that the level of gene (MAPK8, JUNB, mTOR) expression was significantly (p ≤ 0.05) associated with frequency of genetic lesions. Interestingly the increased expression of MAPK8 was significantly accompanied with ASXL1 gene mutation. CONCLUSION: Our study showed an elevation of TNF and AMPK signalling pathways in MDS. TNF signalling might be mediating the proliferative advantage to myeloid clonal cells (mutation carrying cells) over normal cells, whereas, AMPK signalling could be acting as protector against it (favouring normal cells). Hence it would be interesting to explore the functions and pathways associated with mTOR, AMPK, MAPK8 and JUNB in myelopoiesis related diseases like MDS.

Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patients. We have studied 152 MDS patients using cytogenetics and next generation sequencing (NGS). These patients were evaluated and as per cytogenetic prognostic group, majority (92.1%) of the patients classified as good (81.6%) and intermediate (10.5%) group. The NGS identified 38 different gene mutations in our cohort. Among 111 MDS patients with mutations, the most frequent mutated genes were SF3B1 (25.2%), SRSF2 (19%) U2AF1 (14.4%) ASXL1 (9.9%) RUNX1 (9.9%) TET2 (9%), TP53 (9%), ATM (6.3%), NRAS (5.4%) and JAK2/3 (5.4%). The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS and ASXL1 were significantly (P < 0.05) associated with poor survival of the patients. The univariate cox and multivariate cox analysis of our study suggested that the age, marrow morphology, cytogenetic and gene mutations with IPSS-R should be considered for prognosticating the MDS patients. We have proposed M-IPSS-R which changed the risk stratification i.e. 66.3% patients had decreased risk whereas 33.75% showed increased risk compared to IPSS-R. The survival analysis also showed that the M-IPSS-R were more significant in separating the patients as per their risk than the IPSS-R alone. The change in risk stratification could help in proper strategy for the treatment planning.