CYTOGENOMIC PROFILING OF LARGE COHORT OF INDIAN MYELODYSPLASTIC SYNDROMES

Abstract

Introduction

About 40% - 50% of Myelodysplastic syndromes (MDS) patients present with a normal karyotype whereas 50% - 60% of patients are of low risk, however, they tend to have worse outcomes and a higher chance of disease progression. Hence, we aim to study the genomic pathophysiology of disease and their association with overall survival in MDS.

Methods

The study cohort included 200 MDS patients. The molecular cytogenetic and mutation profiling was carried out in all MDS patients. The patients were clinically followed up. The Kaplan-Meier survival and multivariate analysis was performed using GraphPad Prism 5.00

Results

The WHO 2016 classification revealed a high frequency of MDS – MLD (33%) followed by MDS – SLD (25%), MDS – EB-1/2 (24%). The chromosomal aberrations were identified in 35% of MDS patients by CK/FISH. The NGS identified gene mutations in 75% of the cohort. The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS, and ASXL1 are significantly (P < 0.05) associated with poor survival. SNP array analysis (n=77), revealed, patients with chromosome 2 aberrations have a poor prognosis. SNP array combined with NGS confirmed the biallelic loss of function of the TP53 gene (3/7), a clinically relevant biomarker and new genetic-based MDS entity i.e. MDS-biTP53 as per the new WHO classification 2022. The univariate and multivariate analysis suggested that genetic lesions (mutations/CNVs/LOH) with IPSS-R could be prognosticating markers in MDS patients.

Conclusions

Our study strongly supports that the genome profiling by combined CGH+SNP array and NGS improves prognostication and hence personalized disease management.