Evidence map›Paper›PMID 35688160›Full record

ArticleCell reports. Medicine2022

The immune cell atlas of human neuroblastoma.

Bronte Manouk Verhoeven, Shenglin Mei, Thale Kristin Olsen, Karin Gustafsson, Anders Valind, Axel Lindström, David Gisselsson, Shahrzad Shirazi Fard, Catharina Hagerling, Peter V Kharchenko and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
11.2field-weighted citation impact, top 1% of its field
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

76 citing papers in PubMed, 95 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 2 countries.

Bronte Manouk VerhoevenChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.
Shenglin MeiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Thale Kristin OlsenChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.
Karin GustafssonCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
Anders ValindDepartment of Laboratory Medicine, Division of Clinical Genetics, Lund University, 221 85 Lund, Sweden; Department of Pediatrics, Skåne University Hospital, Lund, Sweden.
Axel LindströmDepartment of Laboratory Medicine, Division of Clinical Genetics, Lund University, 221 85 Lund, Sweden.
David GisselssonDepartment of Laboratory Medicine, Division of Clinical Genetics, Lund University, 221 85 Lund, Sweden.
Shahrzad Shirazi FardChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.
Catharina HagerlingDepartment of Laboratory Medicine, Division of Clinical Genetics, Lund University, 221 85 Lund, Sweden.
Peter V KharchenkoDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Per KognerChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.
John Inge JohnsenChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.
Ninib BaryawnoChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden. Electronic address: n.baryawno@ki.se.
Karolinska Institutet · SELund University · SEHarvard University · USMassachusetts General Hospital · US

Funding

Statistical methods for analysis of single-cell variabilityR01HL131768 · NHLBI · HARVARD MEDICAL SCHOOL · PI KHARCHENKO, PETER V · 2015 to 2019
$2.4M
NHLBI NIH HHS R01 HL131768
6 · The paper itself

Abstract

Understanding the complete immune cell composition of human neuroblastoma (NB) is crucial for the development of immunotherapeutics. Here, we perform single-cell RNA sequencing (scRNA-seq) on 19 human NB samples coupled with multiplex immunohistochemistry, survival analysis, and comparison with normal fetal adrenal gland data. We provide a comprehensive immune cell landscape and characterize cell-state changes from normal tissue to NB. Our analysis reveals 27 immune cell subtypes, including distinct subpopulations of myeloid, NK, B, and T cells. Several different cell types demonstrate a survival benefit. In contrast to adult cancers and previous NB studies, we show an increase in inflammatory monocyte cell state when contrasting normal and tumor tissue, while no differences in cytotoxicity and exhaustion score for T cells, nor in Treg activity, are observed. Our receptor-ligand interaction analysis reveals a highly complex interactive network of the NB microenvironment from which we highlight several interactions that we suggest for future therapeutic studies.

Indexed as

NeuroblastomaAdultHumansImmunohistochemistryTumor Microenvironmentcancerhumanimmune cell landscapeimmuno-oncologyimmunotherapyneuroblastomapediatric cancerprognosissingle-cell RNA sequencingsurvival

Identifiers

PMID35688160
PMCPMC9245004
OpenAlexW4282017756

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.