Evidence map›Paper›PMID 38898465›Full record

ArticleGenome biology2024

An integrated single-cell RNA-seq map of human neuroblastoma tumors and preclinical models uncovers divergent mesenchymal-like gene expression programs.

Richard H Chapple, Xueying Liu, Sivaraman Natarajan, Margaret I M Alexander, Yuna Kim, Anand G Patel, Christy W LaFlamme, Min Pan, William C Wright, Hyeong-Min Lee and 13 more

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  16. Transcriptionally distinct malignant neuroblastoma populations show selective response to adavosertib treatment.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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  17. Article
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  19. Cell state plasticity in neuroblastoma.EJC paediatric oncology · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Richard H ChappleDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Xueying LiuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Sivaraman NatarajanDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Margaret I M AlexanderDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Yuna KimDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Anand G PatelDepartment of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Christy W LaFlammeDepartment of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Min PanDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
William C WrightDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Hyeong-Min LeeDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Yinwen ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Meifen LuDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Selene C KooDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Courtney LongAnimal Resources Center, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
John HarperAnimal Resources Center, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Chandra SavageAnimal Resources Center, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Melissa D JohnsonCenter for In Vivo Imaging and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Thomas ConferCenter for In Vivo Imaging and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Walter J AkersDepartment of Biomedical Engineering, University of Texas Southwestern Medical School, Dallas, TX, 75390, USA.
Michael A DyerDepartment of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Heather SheppardDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Paul GeeleherDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. paul.geeleher@stjude.org.

Funding

PROFESSIONAL ONCOLOGY EDUCATION PROGRAMR25CA023944 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE A. GRONEMEYER · 1986 to 2026
$8.3M
Developing new therapeutic strategies for pediatric tumors that lack clinically actionable mutationsR01CA260060 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Paul Geeleher · 2021 to 2026
$3.0M
Novel Therapeutic Approaches for the Treatment of NeuroblastomaR01CA248432 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI DYER, MICHAEL A · 2020 to 2024
$2.4M
Computational tools for estimating cell-type-specific effects in bulk RNA-seq and spatial transcriptomics data, using reference single-cell RNA-seq datasetsR35GM138293 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GEELEHER, PAUL · 2020 to 2024
$2.2M
Novel computational approaches for pharmacogenomic discoveryR00HG009679 · NHGRI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GEELEHER, PAUL · 2019 to 2021
$739k
NCI NIH HHS R01 CA248432NCI NIH HHS R01 CA260060NCI NIH HHS R01CA260060NCI NIH HHS R25 CA023944NHGRI NIH HHS R00 HG009679NHGRI NIH HHS R00HG009679NIGMS NIH HHS R35 GM138293NIGMS NIH HHS R35GM138293
6 · The paper itself

Abstract

backgroundNeuroblastoma is a common pediatric cancer, where preclinical studies suggest that a mesenchymal-like gene expression program contributes to chemotherapy resistance. However, clinical outcomes remain poor, implying we need a better understanding of the relationship between patient tumor heterogeneity and preclinical models.

resultsHere, we generate single-cell RNA-seq maps of neuroblastoma cell lines, patient-derived xenograft models (PDX), and a genetically engineered mouse model (GEMM). We develop an unsupervised machine learning approach ("automatic consensus nonnegative matrix factorization" (acNMF)) to compare the gene expression programs found in preclinical models to a large cohort of patient tumors. We confirm a weakly expressed, mesenchymal-like program in otherwise adrenergic cancer cells in some pre-treated high-risk patient tumors, but this appears distinct from the presumptive drug-resistance mesenchymal programs evident in cell lines. Surprisingly, however, this weak-mesenchymal-like program is maintained in PDX and could be chemotherapy-induced in our GEMM after only 24 h, suggesting an uncharacterized therapy-escape mechanism.

conclusionsCollectively, our findings improve the understanding of how neuroblastoma patient tumor heterogeneity is reflected in preclinical models, provides a comprehensive integrated resource, and a generalizable set of computational methodologies for the joint analysis of clinical and pre-clinical single-cell RNA-seq datasets.

Indexed as

NeuroblastomaRNA-SeqSingle-Cell AnalysisAnimalsCell Line, TumorDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansMiceSingle-Cell Gene Expression AnalysisTranscriptome

Identifiers

PMID38898465
PMCPMC11186099

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.