Evidence map›Paper›PMID 30203411›Full record

ArticleCancer microenvironment : official journal of the International Cancer Microenvironment Society2018

T-Cell Clustering in Neoplastic Follicles of Follicular Lymphoma.

Patrick Schnotalle, Karoline Koch, Rex K H Au-Yeung, Sarah Reinke, Karsten Winter, Markus Loeffler, Ulf-Dietrich Braumann, Wolfram Klapper

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer microenvironment : official journal of the International Cancer Microenvironment Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Patrick SchnotalleInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, University of Leipzig, Leipzig, Germany.
Karoline KochDepartment of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel/University Hospital Schleswig-Holstein, Arnold-Heller-Strasse 3, Haus 14, 24105, Kiel, Germany.
Rex K H Au-YeungDepartment of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel/University Hospital Schleswig-Holstein, Arnold-Heller-Strasse 3, Haus 14, 24105, Kiel, Germany.
Sarah ReinkeDepartment of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel/University Hospital Schleswig-Holstein, Arnold-Heller-Strasse 3, Haus 14, 24105, Kiel, Germany.
Karsten WinterInstitute of Anatomy, Medical Faculty, University Leipzig, Leipzig, Germany.
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Medical Faculty, University of Leipzig, Leipzig, Germany.
Ulf-Dietrich BraumannFaculty of Electrical Engineering and Information Technology, Leipzig University of Applied Science (HTWK), Leipzig, Germany.
Wolfram KlapperDepartment of Pathology, Hematopathology Section and Lymph Node Registry, University of Kiel/University Hospital Schleswig-Holstein, Arnold-Heller-Strasse 3, Haus 14, 24105, Kiel, Germany. wklapper@path.uni-kiel.de.ORCID http://orcid.org/0000-0001-7208-4117

Funding

Deutsche Forschungsgemeinschaft KL 1462/2-1 Kiel and LO 342/11German Ministry of Research and Technology PTJ 0315452University of Kiel, Medical Faculty, intramural F341915
6 · The paper itself

Abstract

The nonneoplastic microenvironment is abundant in follicular lymphoma. Its composition has been reported to be associated with the course of the disease. Lack of animal models hampers studies of interaction between lymphoma and bystander cells. We aimed to identify indicators of cellular interaction exemplified by nonrandom distribution of cell types within neoplastic follicles. Physiological germinal centers and follicles in follicular lymphoma were stained to identify macrophages, all T, follicular T-helper, dendritic and B cells. Density of cell types and cell distribution (spatial point pattern) were analyzed by digital image analysis. The density of all T, follicular T-helper and dendritic cells was higher in the dark zone than in the light zone of physiological germinal centers. Densities of cell types in follicular lymphoma were intermediate between the light and the dark zone. All cell types analyzed showed a completely random spatial distribution pattern within the dark and the light zone, respectively. In follicular lymphoma B cells and macrophages displayed complete spatial randomness. In contrast, all T cells, follicular T-helper cells and dendritic cells showed clustering of each individual cell type within a radius of 6-10 μm in the lymphoma. We conclude that the distribution of nonneoplastic cells within follicles of follicular lymphoma is not random. T cells and dendritic cells form clusters within the follicles, suggestive of sites of interaction between microenvironment and lymphoma cells. These clusters might help to understand the interaction of lymphoma cells with the microenvironment and might provide a structure for therapeutic intervention.

Indexed as

Follicular lymphomaImage analysisMicroenvironmentPoint pattern analysis; PD1

Identifiers

PMID30203411
PMCPMC6250612

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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.