4.7 Article

Single-cell transcriptomics of neuroblastoma identifies chemoresistance-associated genes and pathways

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ELSEVIER
DOI: 10.1016/j.csbj.2022.08.031

关键词

Drug resistance; Intra-tumor heterogenity (ITH); Neuroblastoma (NB); Prognostic biomarkers; Single cell transcriptomics

资金

  1. Associazione Italiana per la Ricerca sul Cancro [25796, 20757]
  2. Fondazione Italiana per la Lotta al Neuroblastoma
  3. Associazione Oncologia Pediatrica e Neuroblastoma
  4. Regione Campania SATIN grant 2018-2020

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The study reveals the association between intratumor heterogeneity (ITH) and drug resistance in high-risk neuroblastoma (NB). Different cell populations characterized by genes involved in various biological processes can contribute to the failure of NB drug treatment. Single-cell RNA sequencing analysis allows the identification of tumor heterogeneity and the discovery of clusters associated with worse/better survival.
High-Risk neuroblastoma (NB) survival rate is still <50%, despite treatments being more and more aggressive. The biggest hurdle liable to cancer therapy failure is the drug resistance by tumor cells that is likely due to the intra-tumor heterogeneity (ITH). To investigate the link between ITH and therapy resistance in NB, we performed a single cell RNA sequencing (scRNAseq) of etoposide and cisplatin resis-tant NB and their parental cells. Our analysis showed a clear separation of resistant and parental cells for both conditions by identifying 8 distinct tumor clusters in etoposide-resistant/parental and 7 in cisplatin-resistant/parental cells. We discovered that drug resistance can affect NB cell identities; highlighting the bi-directional ability of adrenergic-to-mesenchymal transition of NB cells. The biological processes driv-ing the identified resistant cell subpopulations revealed genes such as (BARD1, BRCA1, PARP1, HISTH1 axis, members of RPL family), suggesting a potential drug resistance due to the acquisition of DNA repair mechanisms and to the modification of the drug targets. Deconvolution analysis of bulk RNAseq data from 498 tumors with cell subpopulation signatures showed that the transcriptional heterogeneity of our cellular models reflected the ITH of NB tumors and allowed the identification of clusters associated with worse/better survival. Our study demonstrates the distinct cell populations characterized by genes involved in different bio-logical processes can have a role in NB drug treatment failure. These findings evidence the importance of ITH in NB drug resistance studies and the chance that scRNA-seq analysis offers in the identification of genes and pathways liable for drug resistance.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).

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