Evidence map›Paper›PMID 39099200›Full record

ArticleCancer research communications2024

Characterizing Relationships between T-cell Inflammation and Outcomes in Patients with High-Risk Neuroblastoma According to Mesenchymal and Adrenergic Signatures.

Maria E Kaufman, Omar R Vayani, Kelley Moore, Alexandre Chlenski, Tong Wu, Sang Mee Lee, Ami V Desai, Chuan He, Susan L Cohn, Mark A Applebaum

Abstract read
In one paragraph

Article in Cancer research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Ganglioside Profiling Uncovers Distinct Patterns in High-Risk Neuroblastoma.International journal of molecular sciences · 2025
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Maria E KaufmanThe University of Chicago Pritzker School of Medicine, Chicago, Illinois.ORCID 0000-0001-8892-0415
Omar R VayaniThe University of Chicago Pritzker School of Medicine, Chicago, Illinois.ORCID 0000-0002-4715-9049
Kelley MooreDepartment of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois.ORCID 0009-0002-5970-3096
Alexandre ChlenskiDepartment of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois.ORCID 0000-0002-9885-4017
Tong WuDepartment of Chemistry, University of Chicago, Chicago, Illinois.ORCID 0000-0001-9968-9909
Sang Mee LeeBiostatistics Laboratory and Research Computing Group, The University of Chicago, Chicago, Illinois.ORCID 0000-0002-2144-3869
Ami V DesaiDepartment of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois.ORCID 0000-0001-9658-3156
Chuan HeDepartment of Chemistry, University of Chicago, Chicago, Illinois.ORCID 0000-0003-4319-7424
Susan L CohnDepartment of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois.ORCID 0000-0001-5749-7650
Mark A ApplebaumDepartment of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois.ORCID 0000-0001-9766-8477

Funding

Liquid biopsy approaches to inform neuroblastoma prognosis and disease monitoringR37CA262781 · NCI · UNIVERSITY OF CHICAGO · PI Mark Andrew Applebaum · 2022 to 2026
$3.3M
Scholars in Oncology Associated Research (SOAR)R25CA240134 · NCI · UNIVERSITY OF CHICAGO · PI OLUFUNMILAYO F. OLOPADE · 2019 to 2026
$1.3M
NCI NIH HHS R25 CA240134NCI NIH HHS R37 CA262781
6 · The paper itself

Abstract

Recent insights have identified adrenergic (ADRN) and mesenchymal (MES) cell lineages as distinct biologic cell types and T-cell inflammation as a prognostic marker in neuroblastoma. We hypothesized that elucidating unique and overlapping aspects of these biologic features could serve as novel biomarkers for informing ongoing efforts to improve therapeutic approaches for children with high-risk neuroblastoma. We identified lineage-specific, single-stranded super-enhancers to define ADRN and MES specific genes. Publicly available RNA-seq of diagnostic tumor biopsies was used in Discovery and Validation cohorts. Each tumor was assigned a relative MES score and T-cell inflammation (TCI) score. Survival was assessed using the Kaplan-Meier method, and differences were assessed by the log-rank test. Inflammation scores were correlated with MES scores and anticorrelated with MYCN-amplification in both cohorts. Among patients with high-risk, ADRN tumors, those with TCI tumors had superior overall survival to those with non-inflamed tumors. A similar, but nonsignificant, trend was observed in the Validation cohort. Conversely, there was no difference according to TCI status in the MES cohort in either the Discover or Validation cohorts. High-inflammation scores were correlated with improved survival in some patients with high-risk, ADRN but not MES neuroblastoma. Our findings bolster support for further developing T-cell-based and immunotherapy-based approaches for children with high-risk neuroblastoma of varying MES and ADRN expression. SIGNIFICANCE: Adrenergic (ADRN) and mesenchymal (MES) lineages are distinct biologic cell types in neuroblastoma. We defined ADRN and MES specific genes and found that high-risk, ADRN tumors harboring elevated T-cell inflammation signatures had superior overall survival. Our findings bolster support for further developing immunotherapy-based approaches for children with high-risk neuroblastoma.

Indexed as

InflammationNeuroblastomaT-LymphocytesBiomarkers, TumorChildChild, PreschoolFemaleGene Expression Regulation, NeoplasticHumansInfantMalePrognosisBiomarkers, Tumor

Identifiers

PMID39099200
PMCPMC11350481

What OpenQuestion holds

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Registered trials

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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.