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Immunogenomic classification reveals prognostic immune signatures in pediatric solid and hematological tumors
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  • Published: 31 March 2026

Immunogenomic classification reveals prognostic immune signatures in pediatric solid and hematological tumors

  • Zhouqi Xia1,2,
  • Qiaoli Hua1,2,
  • Jianqin Qian1,
  • Jinhu Wang3,4,5,6,
  • Jiangtao Liang7,
  • Qiaojun He2,8,9,
  • Shaoqing Ni1,2 &
  • …
  • Ting Tao3,4,5,6 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Paediatric cancer
  • Tumour immunology

Abstract

The immune features in pediatric tumor are poorly explored. To characterize immune features of pediatric cancer, we performed an immunogenomic analysis of public database (TARGET) for pediatric solid tumor (PST) (n = 423) and pediatric hematological tumor (PHT) (n = 2302). We clustered PST and PHT samples into 5 subtypes (S1-S5) and 4 subtypes (H1-H4), respectively, based on immune features. In the PST cohort, cluster S1 with elevated expression of Wound_CSR (fibroblast core serum response in wound healing) and B cell signatures exhibited the worst overall survival. Conversely, cluster S4 (HR = 0.378, 95% CI: 0.24–0.59, P-value < 0.001) with down-regulated expression of these features was associated with prolonged survival. We also validated the prognostic significance of the S4 immune subtype in an independent neuroblastoma cohort from the ZJUCH (n = 127), which demonstrated favorable patient outcomes. In the PHT cohort, we observed that the relationships between immune clusters and prognosis differed between FLT3-ITD mutation-positive AML (AML-1) and FLT3-ITD mutation-negative AML (AML-2). In AML-1, cluster H2 featured upregulated infiltration of neutrophils, monocytes and antigen processing signatures, possibly leading to the worst overall survival. While in AML-2, cluster H2 exhibited a favorable outcome. The study highlights the potential of immune features as biomarkers for prognosis and treatment planning in pediatric cancers and provides novel insights into their immunological landscape.

Data availability

High-throughput sequencing and clinical data were acquired from the TARGET database through Genomic Data Commons (GDC) data portal (https://gdc.cancer.gov/). The neuroblastoma validation cohort (referred to as ZJUCH cohort) was obtained from Children’s Hospital Zhejiang University School of Medicine. The RNA-seq data of the ZJUCH cohort were available from the Genome Sequence Archive in National Genomics Data Center, China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences under accession numbers HRA006359 and HRA007828.

Abbreviations

PST:

Pediatric solid tumor

PHT:

Pediatric hematological tumor

NB:

Neuroblastoma

AML:

Acute myeloid leukemia

TIME:

Tumor immune microenvironment

ALL:

Acute lymphoblastic leukemia

OS:

Osteosarcoma

WT:

Wilms tumor

RT:

Rhabdoid tumor

CCSK:

Clear cell sarcoma of kidney

dbGaP:

Database of Genotypes and Phenotypes

NIH:

National Institutes of Health

TPM:

Transcripts per kilobase of exon per million mapped reads

FPKM:

Fragments per kilobase of exon per million mapped fragments

ssGSEA:

Single-sample gene set enrichment analysis

GSEs:

Gene set enrichment scores

QuSAGE:

Quantitative set analysis for gene expression

GO:

Gene Ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

DAWT:

Diffuse anaplastic Wilms tumor

FHWT:

Favorable histology Wilms tumor

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Funding

This work was supported by grants (No. 82373971 and No. 32270853) from National Natural Science Foundation of China, a grant (No. 2023YFC2706100) from National Key R&D Program of China, grants (No. 2025C01106 and 2024C03181) from “Pioneer” and “Leading Goose” R&D Program of Zhejiang Province, grants (No. 2022KY1047 and No. 2024KY1428) from Medical Science and Technology Project of Zhejiang Province, a startup fund from Children’s Hospital, Zhejiang University School of Medicine, and a research fund from Cancer Center, Zhejiang University.

Author information

Authors and Affiliations

  1. National Clinical Trial Institute, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents’ Health and Diseases, Hangzhou, 310052, Zhejiang, China

    Zhouqi Xia, Qiaoli Hua, Jianqin Qian & Shaoqing Ni

  2. Research Center for Clinical Pharmacy, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China

    Zhouqi Xia, Qiaoli Hua, Qiaojun He & Shaoqing Ni

  3. Pediatric Cancer Research Center, National Clinical Research Center for Children and Adolescents’ Health and Diseases, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, Zhejiang, China

    Jinhu Wang & Ting Tao

  4. Department of Surgical Oncology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents’ Health and Diseases, Hangzhou, 310052, Zhejiang, China

    Jinhu Wang & Ting Tao

  5. Zhejiang Key Laboratory of Neonatal Diseases, Hangzhou, 310052, Zhejiang, China

    Jinhu Wang & Ting Tao

  6. Cancer Center, Zhejiang University, Hangzhou, 310052, Zhejiang, China

    Jinhu Wang & Ting Tao

  7. Hangzhou Universal Medical Imaging Diagnostic Center, Hangzhou, 310009, Zhejiang, China

    Jiangtao Liang

  8. Center for Drug Safety Evaluation and Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China

    Qiaojun He

  9. Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China

    Qiaojun He

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Contributions

T.T., S.N. and J.W. provided resources and obtained funding. T.T., S.N. and Q.H. conceived and supervised the study. T.T., Z.X. and J.Q. generated the data. T.T., Z.X., Q.H. and J.L. performed analysis. T.T. and Z.X. interpreted the data and wrote the main manuscript text. Z.X. prepared figures and tables. All authors reviewed and approved the final manuscript.

Corresponding authors

Correspondence to Qiaojun He, Shaoqing Ni or Ting Tao.

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Xia, Z., Hua, Q., Qian, J. et al. Immunogenomic classification reveals prognostic immune signatures in pediatric solid and hematological tumors. Sci Rep (2026). https://doi.org/10.1038/s41598-026-44997-1

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  • Received: 22 August 2024

  • Accepted: 16 March 2026

  • Published: 31 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-44997-1

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Keywords

  • Pediatric solid tumor
  • Pediatric hematological tumor
  • Immune features
  • Prognosis
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