Evidence map›Paper›PMID 36230839›Full record

ArticleCancers2022

Transcriptome Analysis Identifies Accumulation of Natural Killer Cells with Enhanced Lymphotoxin-β Expression during Glioblastoma Progression.

Gianni Monaco, Ashkan Khavaran, Adrià Dalmau Gasull, Jonathan Cahueau, Martin Diebold, Chintan Chhatbar, Mirco Friedrich, Dieter Henrik Heiland, Roman Sankowski

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.4field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

9 authors at 2 institutions in 1 country.

Gianni MonacoInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Ashkan KhavaranInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Adrià Dalmau GasullInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0002-8410-8048
Jonathan CahueauInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Martin DieboldInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0001-9636-6936
Chintan ChhatbarInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Mirco FriedrichDKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Dieter Henrik HeilandDepartment of Neurosurgery, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0002-9258-3033
Roman SankowskiInstitute of Neuropathology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0001-9215-8021
University of Freiburg · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastomas are the most common primary brain tumors. Despite extensive clinical and molecular insights into these tumors, the prognosis remains dismal. While targeted immunotherapies have shown remarkable success across different non-brain tumor entities, they failed to show efficacy in glioblastomas. These failures prompted the field to reassess the idiosyncrasies of the glioblastoma microenvironment. Several high-dimensional single-cell RNA sequencing studies generated remarkable findings about glioblastoma-associated immune cells. To build on the collective strength of these studies, we integrated several murine and human datasets that profiled glioblastoma-associated immune cells at different time points. We integrated these datasets and utilized state-of-the-art algorithms to investigate them in a hypothesis-free, purely exploratory approach. We identified a robust accumulation of a natural killer cell subset that was characterized by a downregulation of activation-associated genes with a concomitant upregulation of apoptosis genes. In both species, we found a robust upregulation of the Lymphotoxin-β gene, a cytokine from the TNF superfamily and a key factor for the development of adaptive immunity. Further validation analyses uncovered a correlation of lymphotoxin signaling with mesenchymal-like glioblastoma regions in situ and in TCGA and CGGA glioblastoma cohorts. In summary, we identify lymphotoxin signaling as a potential therapeutic target in glioblastoma-associated natural killer cells.

Indexed as

GL261glioblastomaimmune cell crosstalkimmunotherapylymphotoxinmesenchymal transcriptional subtypenatural killer cell

Identifiers

PMID36230839
PMCPMC9563981
OpenAlexW4303699987

What OpenQuestion holds

Textmetadata
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.