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Cell communication pathway prognostic model identified detrimental neurodevelopmental pathways in neuroblastoma

Authors :
Jiali Wang
Huimin Li
Yao Xue
Yidan Zhang
Xiaopeng Ma
Chunlei Zhou
Liucheng Rong
Yixuan Zhang
Yaping Wang
Yongjun Fang
Source :
Neoplasia: An International Journal for Oncology Research, Vol 52, Iss , Pp 100997- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Neurodevelopmental cell communication plays a crucial role in neuroblastoma prognosis. However, determining the impact of these communication pathways on prognosis is challenging due to limited sample sizes and patchy clinical survival information of single cell RNA-seq data. To address this, we have developed the cell communication pathway prognostic model (CCPPM) in this study. CCPPM involves the identification of communication pathways through single-cell RNA-seq data, screening of prognosis-significant pathways using bulk RNA-seq data, conducting functional and attribute analysis of these pathways, and analyzing the post-effects of communication within these pathways. By employing the CCPPM, we have identified ten communication pathways significantly influencing neuroblastoma, all related to axongenesis and neural projection development, especially the BMP7-(BMPR1B-ACVR2B) communication pathway was found to promote tumor cell migration by activating the transcription factor SMAD1 and regulating UNK and MYCBP2. Notably, BMP7 expression was higher in neuroblastoma samples with distant metastases. In summary, CCPPM offers a novel approach to studying the influence of cell communication pathways on disease prognosis and identified detrimental communication pathways related to neurodevelopment.

Details

Language :
English
ISSN :
14765586
Volume :
52
Issue :
100997-
Database :
Directory of Open Access Journals
Journal :
Neoplasia: An International Journal for Oncology Research
Publication Type :
Academic Journal
Accession number :
edsdoj.25d53c2f8046a2a02b17b872d322f3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neo.2024.100997