Evidence map›Paper›PMID 33498319›Full record

ArticleInternational journal of molecular sciences2021

In-Depth Immune-Oncology Studies of the Tumor Microenvironment in a Humanized Melanoma Mouse Model.

Jonathan Schupp, Arne Christians, Niklas Zimmer, Lukas Gleue, Helmut Jonuleit, Mark Helm, Andrea Tuettenberg

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

7 authors.

Jonathan SchuppDepartment of Dermatology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Arne ChristiansZellkraftwerk GmbH, 04103 Leipzig, Germany.
Niklas ZimmerDepartment of Dermatology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Lukas GleueInstitute of Pharmacy and Biochemistry of the Johannes Gutenberg University Mainz, 55128 Mainz, Germany.
Helmut JonuleitDepartment of Dermatology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0002-5672-9365
Mark HelmInstitute of Pharmacy and Biochemistry of the Johannes Gutenberg University Mainz, 55128 Mainz, Germany.ORCID 0000-0002-0154-0928
Andrea TuettenbergDepartment of Dermatology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.

Funding

Deutsche Forschungsgemeinschaft CRC1066 TP B3Wilhelm-Sander-Stiftung 2017.143.1
6 · The paper itself

Abstract

The presence and interaction of immune cells in the tumor microenvironment is of significant importance and has a great impact on disease progression and response to therapy. Hence, their identification is of high interest for prognosis and treatment decisions. Besides detailed phenotypic analyses of immune, as well as tumor cells, spatial analyses is an important parameter in the complex interplay of neoplastic and immune cells-especially when moving into focus efforts to develop and validate new therapeutic strategies. Ex vivo analysis of tumor samples by immunohistochemistry staining methods conserves spatial information is restricted to single markers, while flow cytometry (disrupting tissue into single cell suspensions) provides access to markers in larger numbers. Nevertheless, this comes at the cost of scarifying morphological information regarding tissue localization and cell-cell contacts. Further detrimental effects incurred by, for example, tissue digestion include staining artifacts. Consequently, ongoing efforts are directed towards methods that preserve, completely or in part, spatial information, while increasing the number of markers that can potentially be interrogated to the level of conventional flow cytometric methods. Progression in multiplex immunohistochemistry in the last ten years overcame the limitation to 1-2 markers in classical staining methods using DAB with counter stains or even pure chemical staining methods. In this study, we compared the multiplex method Chipcytometry to flow cytometry and classical IHCP using DAB and hematoxylin. Chipcytometry uses frozen or paraffin-embedded tissue sections stained with readily available commercial fluorophore-labeled antibodies in repetitive cycles of staining and bleaching. The iterative staining approach enables sequential analysis of a virtually unlimited number of markers on the same sample, thereby identifying immune cell subpopulations in the tumor microenvironment in the present study in a humanized mouse melanoma model.

Indexed as

AnimalsCell Line, TumorCells, CulturedFemaleFlow CytometryHLA-A2 AntigenHumansImmunohistochemistryImmunophenotypingMelanomaMiceMiddle AgedTransgenesTumor MicroenvironmentHLA-A2 AntigenChipcytometryflow cytometryhumanized miceimmunohistochemistrymelanomamultiplex immunohistochemistrytumor microenvironment

Identifiers

PMID33498319
PMCPMC7864015

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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.