Analysis of High-Risk Neuroblastoma Transcriptome Reveals Gene Co-Expression Signatures and Functional Features.
Mónica Leticia Martínez-PachecoEnrique Hernández-LemusCarmen MejíaPublished in: Biology (2023)
Neuroblastoma represents a neoplastic expansion of neural crest cells in the developing sympathetic nervous system and is childhood's most common extracranial solid tumor. The heterogeneity of gene expression in different types of cancer is well-documented, and genetic features of neuroblastoma have been described by classification, development stage, malignancy, and progression of tumors. Here, we aim to analyze RNA sequencing datasets, publicly available in the GDC data portal, of neuroblastoma tumor samples from various patients and compare them with normal adrenal gland tissue from the GTEx data portal to elucidate the gene expression profile and regulation networks they share. Our results from the differential expression, weighted correlation network, and functional enrichment analyses that we performed with the count data from neuroblastoma and standard normal gland samples indicate that the analysis of transcriptome data from 58 patients diagnosed with high-risk neuroblastoma shares the expression pattern of 104 genes. More importantly, our analyses identify the co-expression relationship and the role of these genes in multiple biological processes and signaling pathways strongly associated with this disease phenotype. Our approach proposes a group of genes and their biological functions to be further investigated as essential molecules and possible therapeutic targets of neuroblastoma regardless of the etiology of individual tumors.
Keyphrases
- genome wide
- gene expression
- poor prognosis
- single cell
- dna methylation
- electronic health record
- end stage renal disease
- newly diagnosed
- ejection fraction
- genome wide identification
- copy number
- rna seq
- prognostic factors
- signaling pathway
- induced apoptosis
- magnetic resonance imaging
- binding protein
- bioinformatics analysis
- oxidative stress
- mass spectrometry
- data analysis
- transcription factor
- cell cycle arrest
- young adults
- papillary thyroid
- long non coding rna
- childhood cancer