Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastoma
返回论文页
|更新时间:2022-11-09
|
Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastoma
Genes & DiseasesVol. 9, Issue 6, (2022)
作者机构:
1. Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University
2. National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics,Chongqing,PR China,400014
4. Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences,Beijing,PR China,100101
5. Molecular and Oncology Laboratory, Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago Medical Center,IL,Chicago,USA,60637
Qingqing Liu, Zhenni Wang, Yan Jiang, et al. Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastoma. [J]. Genes & Diseases 9(6).(2022)
DOI:
Qingqing Liu, Zhenni Wang, Yan Jiang, et al. Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastoma. [J]. Genes & Diseases 9(6).(2022) DOI: 10.1016/j.gendis.2021.12.020.
Single-cell landscape analysis reveals distinct regression trajectories and novel prognostic biomarkers in primary neuroblastoma
摘要
Abstract
Neuroblastoma (NB)
which is the most common pediatric extracranial solid tumor
varies widely in its clinical presentation and outcome. NB has a unique ability to spontaneously differentiate and regress
suggesting a potential direction for therapeutic intervention. However
the underlying mechanisms of regression remain largely unknown
and more reliable prognostic biomarkers are needed for predicting trajectories for NB. We performed scRNA-seq analysis on 17 NB clinical samples and three peritumoral adrenal tissues. Primary NB displayed varied cell constitution
even among tumors of the same pathological subtype. Copy number variation patterns suggested that neuroendocrine cells represent the malignant cell type. Based on the differential expression of sets of related marker genes
a subgroup of neuroendocrine cells was identified and projected to differentiate into a subcluster of benign fibroblasts with highly expressed
CCL2
and
ZFP36
supporting a progressive pathway of spontaneous NB regression. We also identified prognostic markers (
STMN2
TUBA1A
PAGE5
and
ETV1
) by evaluating intra-tumoral heterogeneity. Lastly
we determined that
ITGB1
in M2-like macrophages was associated with favorable prognosis and may serve as a potential diagnostic marker and therapeutic target. In conclusion
our findings reveal novel mechanisms underlying regression and potential prognostic markers and therapeutic targets of NB.