Evidence map›Paper›PMID 34462595›Full record

ReviewNature protocols2021

An integrated pipeline for comprehensive analysis of immune cells in human brain tumor clinical samples.

Roeltje R Maas, Klara Soukup, Florian Klemm, Mara Kornete, Robert L Bowman, Romain Bedel, Damien N Marie, Ángel F Álvarez-Prado, Danny Labes, Anne Wilson and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Clinical relevance of tumour-associated macrophages.Nature reviews. Clinical oncology · 2022
    Review
  7. Article
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

14 authors at 4 institutions in 2 countries.

Roeltje R Maas *Department of Oncology, University of Lausanne, Lausanne, Switzerland.
Klara Soukup *Department of Oncology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-2764-4845
Florian Klemm *Department of Oncology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-8944-9175
Mara KorneteDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.
Robert L BowmanMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Romain BedelFlow Cytometry Facility, Department of Formation and Research, University of Lausanne, Epalinges, Switzerland.
Damien N MarieDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.
Ángel F Álvarez-PradoDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-0622-2993
Danny LabesFlow Cytometry Facility, Department of Formation and Research, University of Lausanne, Epalinges, Switzerland.
Anne WilsonDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.
Jean-Philippe BroulandDepartment of Pathology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland.
Roy T DanielDepartment of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Monika E HegiNeuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-0855-6495
Johanna A JoyceDepartment of Oncology, University of Lausanne, Lausanne, Switzerland. johanna.joyce@unil.ch.ORCID http://orcid.org/0000-0002-6332-2598
Ludwig Cancer Research · CHUniversity Hospital of Lausanne · CHUniversity of Lausanne · CHMemorial Sloan Kettering Cancer Center · US

Funding

Austrian Science Fund FWF J 4343
6 · The paper itself

Abstract

Human tissue samples represent an invaluable source of information for the analysis of disease-specific cellular alterations and their variation between different pathologies. In cancer research, advancing a comprehensive understanding of the unique characteristics of individual tumor types and their microenvironment is of considerable importance for clinical translation. However, investigating human brain tumor tissue is challenging due to the often-limited availability of surgical specimens. Here we describe a multimodule integrated pipeline for the processing of freshly resected human brain tumor tissue and matched blood that enables analysis of the tumor microenvironment, with a particular focus on the tumor immune microenvironment (TIME). The protocol maximizes the information yield from limited tissue and includes both the preservation of bulk tissue, which can be performed within 1 h following surgical resection, as well as tissue dissociation for an in-depth characterization of individual TIME cell populations, which typically takes several hours depending on tissue quantity and further downstream processing. We also describe integrated modules for immunofluorescent staining of sectioned tissue, bulk tissue genomic analysis and fluorescence- or magnetic-activated cell sorting of digested tissue for subsequent culture or transcriptomic analysis by RNA sequencing. Applying this pipeline, we have previously described the overall TIME landscape across different human brain malignancies, and were able to delineate disease-specific alterations of tissue-resident versus recruited macrophage populations. This protocol will enable researchers to use this pipeline to address further research questions regarding the tumor microenvironment.

Indexed as

Brain NeoplasmsTumor MicroenvironmentHumans

Identifiers

PMID34462595
OpenAlexW3197054313

What OpenQuestion holds

Textmetadata
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.