Deepak Shyl EbyNesar StellaGlory, Malgija Beutline, Iniyan Appadurai Muthamil, Mahendran Ramasamy, Prakash Vincent Samuel Gnana
International Centre for Nanobiotechnology (ICN), Centre for Marine Science and Technology (CMST), Manonmaniam Sundaranar University, Kanyakumari District, Rajakkamangalam 629502, Tamil Nadu, India.
Computational Science Laboratory, MCC-MRF Innovation Park, Madras Christian College, Chennai 600 059, Tamil Nadu, India.
Heliyon. 2022 Oct 18;8(10):e11123. doi: 10.1016/j.heliyon.2022.e11123. eCollection 2022 Oct.
Acute Myeloid Leukemia (AML) is a heterogeneous disease with highest mortality compared to other types of leukemia. There is a need to find the gene abnormalities and mechanisms behind them due to their heterogenic nature. The present study is aimed to understand genes, pathways and biomarker proteins influenced by transcriptomic deregulation due to AML. Differentially expressed gene (DEG), protein-protein interaction network, gene ontology, KEGG pathway, variant analysis and secretome analyses were performed using different AML RNAseq datasets. A total of 655 DEGs including 291 up-regulated and 364 down-regulated genes, which were satisfied with a fold change of 1.5 were identified. Top hub genes for AML were identified as TP53, PTPRC and AKT1. This integrative bioinformatics approach revealed the deregulation of T Cell Receptor (TCR) pathway and altered immune response related genes. The survival analysis revealed the associated deregulation of multiple TCR pathway related genes. Variant analysis identified the benign and likely benign nature of many important target genes and markers screened, which were found to have an important role in the progression of AML. DEGs and secretome analysis found out a set of seven molecules represents potential biomarkers for AML. analytical validation showed overexpression pattern of CD109 and LRP12 in AML cell line and HL-60 cells than the normal human bone marrow-derived stromal cell line HS-5. Here we report first time for CD109 and LRP12 as a possible biomarkers for the diagnostic significance. Amino acid substitutions detected by variant analysis and deregulation of immune checkpoint molecules revealed their role in reducing immune response and inability to fight cancer cells. In conclusion, this study highlights the possibility of new biomarkers for AML and the mechanism of decrease in immune response due to the downregulation of co-stimulatory immune molecules, which needs further clinical validation investigations.
急性髓系白血病(AML)是一种异质性疾病,与其他类型的白血病相比死亡率最高。由于其异质性,有必要找出其背后的基因异常及机制。本研究旨在了解受AML转录组失调影响的基因、信号通路和生物标志物蛋白。使用不同的AML RNA测序数据集进行差异表达基因(DEG)、蛋白质-蛋白质相互作用网络、基因本体、KEGG信号通路、变异分析和分泌组分析。共鉴定出655个差异表达基因,其中包括291个上调基因和364个下调基因,其满足1.5倍的变化倍数。确定AML的顶级枢纽基因为TP53、PTPRC和AKT1。这种综合生物信息学方法揭示了T细胞受体(TCR)信号通路的失调以及免疫反应相关基因的改变。生存分析揭示了多个TCR信号通路相关基因的相关失调。变异分析确定了许多筛选出的重要靶基因和标志物的良性和可能良性性质,这些基因和标志物在AML进展中具有重要作用。差异表达基因和分泌组分析发现一组七个分子代表AML的潜在生物标志物。分析验证显示,AML细胞系和HL-60细胞中CD109和LRP12的表达模式高于正常人骨髓来源的基质细胞系HS-5。在此我们首次报道CD109和LRP12作为可能具有诊断意义的生物标志物。变异分析检测到的氨基酸替换和免疫检查点分子的失调揭示了它们在降低免疫反应和无法对抗癌细胞方面的作用。总之,本研究强调了AML新生物标志物的可能性以及由于共刺激免疫分子下调导致免疫反应降低的机制,这需要进一步的临床验证研究。