ReviewSeminars in immunopathology2023
Single-cell technologies uncover intra-tumor heterogeneity in childhood cancers.
Review in Seminars in immunopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Single-cell and spatial transcriptome analysis reveals the potential therapeutic targets for testicular sex cord-stromal cell tumor.Biomarker research · 2026Article
- Annotation-free discovery of disease-relevant cells in single-cell datasets.Science advances · 2025Article
- Harnessing the n+1 dimensions of single-cell omics data for the prediction and prevention of human diseases.Seminars in immunopathology · 2023Article
- Computational single cell oncology: state of the art.Frontiers in genetics · 2023Review
- Fluorescence microscopy imaging of mitochondrial metabolism in cancer cells.Frontiers in oncology · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Childhood cancer is the second leading cause of death in children aged 1 to 14. Although survival rates have vastly improved over the past 40 years, cancer resistance and relapse remain a significant challenge. Advances in single-cell technologies enable dissection of tumors to unprecedented resolution. This facilitates unraveling the heterogeneity of childhood cancers to identify cell subtypes that are prone to treatment resistance. The rapid accumulation of single-cell data from different modalities necessitates the development of novel computational approaches for processing, visualizing, and analyzing single-cell data. Here, we review single-cell approaches utilized or under development in the context of childhood cancers. We review computational methods for analyzing single-cell data and discuss best practices for their application. Finally, we review the impact of several studies of childhood tumors analyzed with these approaches and future directions to implement single-cell studies into translational cancer research in pediatric oncology.
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Registered trials
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.