Thatyanne Gradowski F da C do Nascimento, Joice de Faria Poloni, Mateus Eduardo de Oliveira Thomazini, Luciane R Cavalli, Selene Elifio-Esposito, Bruno César Feltes
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引用次数: 0
Abstract
Neuroblastoma (NB) is a solid tumor that accounts for 15% of all pediatric oncological deaths, and much is due to the low response to therapy in relapsed tumors. High-risk NB may present deletions in chromosome 11q, which may be associated with other chromosomal alterations and a poor response to therapy, but this association is still poorly understood. Using a systems biology network approach, we studied three patients with high-risk NB with deleted 11q stage 4 to highlight the connections between treatment resistance and copy number alterations in distinct cases. We built different protein-protein interaction networks for each patient based on protein-coding genes mapped at the cytobands pre- and post-chemotherapy from distinct copy number alterations data. In the post-chemotherapy networks, we identified five common regulatory nodes corresponding to the gained region located in ch17q:BIRC5, BRCA1, PRKCA, SUMO2, andGPS1. A crosslink between DNA damage and chromatin remodeling proteins was also found - a connection still poorly understood in NB. We identified a potential connection between XPB gain and chemoresistance of NB. The findings help elucidate the molecular profiles of high-risk NB with 11q deletion in pre- and post-chemotherapy tumor samples, which may reflect unique profiles in poor response to treatment.
神经母细胞瘤(NB)是一种实体瘤,占儿科肿瘤死亡总数的15%,复发肿瘤对治疗的反应较低是其主要原因。高危NB可能存在11q染色体缺失,这可能与其他染色体改变和治疗反应不佳有关,但这种关联性仍不甚明了。利用系统生物学网络方法,我们研究了三例11q缺失4期的高危NB患者,以突出不同病例中治疗耐药性与拷贝数改变之间的联系。我们基于化疗前后不同拷贝数改变数据在细胞带映射的蛋白编码基因,为每位患者构建了不同的蛋白-蛋白相互作用网络。在化疗后网络中,我们发现了与位于ch17q的增益区相对应的五个共同调控节点:BIRC5、BRCA1、PRKCA、SUMO2和GPS1。我们还发现了 DNA 损伤与染色质重塑蛋白之间的交叉联系--这种联系在 NB 中仍鲜为人知。我们发现了 XPB 增益与 NB 化疗耐药性之间的潜在联系。这些发现有助于阐明化疗前和化疗后肿瘤样本中11q缺失的高危NB的分子特征,这可能反映了对治疗反应差的独特特征。
期刊介绍:
Genetics and Molecular Biology (formerly named Revista Brasileira de Genética/Brazilian Journal of Genetics - ISSN 0100-8455) is published by the Sociedade Brasileira de Genética (Brazilian Society of Genetics).
The Journal considers contributions that present the results of original research in genetics, evolution and related scientific disciplines. Manuscripts presenting methods and applications only, without an analysis of genetic data, will not be considered.