Evidence map›Paper›PMID 35145525›Full record

ArticleFrontiers in immunology2022

Picturing of the Lung Tumor Cellular Composition by Multispectral Flow Cytometry.

Catherine Olesch, David Brunn, Öznur Aktay-Cetin, Evelyn Sirait-Fischer, Soni Savai Pullamsetti, Friedrich Grimminger, Werner Seeger, Bernhard Brüne, Andreas Weigert, Rajkumar Savai

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Catherine OleschInstitute of Biochemistry I, Goethe-University Frankfurt, Frankfurt, Germany.
David BrunnMax Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.
Öznur Aktay-CetinMax Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.
Evelyn Sirait-FischerInstitute of Biochemistry I, Goethe-University Frankfurt, Frankfurt, Germany.
Soni Savai PullamsettiMax Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.
Friedrich GrimmingerInstitute for Lung Health (ILH), Justus Liebig University, Giessen, Germany.
Werner SeegerMax Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.
Bernhard BrüneInstitute of Biochemistry I, Goethe-University Frankfurt, Frankfurt, Germany.
Andreas WeigertInstitute of Biochemistry I, Goethe-University Frankfurt, Frankfurt, Germany.
Rajkumar SavaiMax Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lung tumor microenvironment plays a critical role in the tumorigenesis and metastasis of lung cancer, resulting from the crosstalk between cancer cells and microenvironmental cells. Therefore, comprehensive identification and characterization of cell populations in the complex lung structure is crucial for development of novel targeted anti-cancer therapies. Here, a hierarchical clustering approach with multispectral flow cytometry was established to delineate the cellular landscape of murine lungs under steady-state and cancer conditions. Fluorochromes were used multiple times to be able to measure 24 cell surface markers with only 13 detectors, yielding a broad picture for whole-lung phenotyping. Primary and metastatic murine lung tumor models were included to detect major cell populations in the lung, and to identify alterations to the distribution patterns in these models. In the primary tumor models, major altered populations included CD324

Indexed as

AnimalsAntigens, LyCell Line, TumorDendritic CellsEndothelial CellsFibroblastsFlow CytometryFluorescent DyesGenetic HeterogeneityHumansLung NeoplasmsMacrophages, AlveolarMiceMice, Inbred C57BLMonocytesMuscle, Smooth, VascularAntigens, LyFluorescent Dyeshierarchical clusteringlung cancerlung tumor heterogeneitymultispectral flow cytometrytumor microenvironment

Identifiers

PMID35145525
PMCPMC8821098

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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.