Evidence map›Paper›PMID 34125345›Full record

ArticleCancer immunology, immunotherapy : CII2022

Deciphering the immunosuppressive tumor microenvironment in ALK- and EGFR-positive lung adenocarcinoma.

Jan Budczies, Martina Kirchner, Klaus Kluck, Daniel Kazdal, Julia Glade, Michael Allgäuer, Mark Kriegsmann, Claus-Peter Heußel, Felix J Herth, Hauke Winter and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

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  17. Can we cure metastaticTranslational cancer research · 2023
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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

23 authors at 6 institutions in 2 countries.

Jan BudcziesInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany. jan.budczies@med.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-6668-5327
Martina KirchnerInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Klaus KluckInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Daniel KazdalInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Julia GladeInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Michael AllgäuerInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Mark KriegsmannInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Claus-Peter HeußelTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Felix J HerthTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Hauke WinterTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Michael MeisterTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Thomas MuleyTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Torsten GoldmannPathology of the University Medical Center Schleswig-Holstein (UKSH), Campus Lübeck and the Research Center Borstel, Borstel, Germany.
Stefan FröhlingGerman Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Martin WermkeDepartment of Thoracic Oncology, Dresden University Hospital, Dresden, Germany.
Cornelius F WallerDepartment of Haematology, Oncology and Stem Cell Transplantation, University Medical Centre Freiburg, Freiburg, Germany.
Amanda TufmanDivision of Respiratory Medicine and Thoracic Oncology, Department of Internal Medicine V and Thoracic Oncology Centre Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), University of Munich (LMU), Munich, Germany.
Martin ReckAirway Research Center North (ARCN), Member of German Center of Lung Research (DZL), Giessen, Germany.
Solange PetersDepartment of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne University, Lausanne, Switzerland.
Peter SchirmacherInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Michael ThomasTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Petros ChristopoulosTranslational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, Heidelberg, Germany.
Heidelberg University · DEGerman Cancer Research Center · DEGerman Center for Lung Research · DETechnische Universität Dresden · DEUniversity Hospital of Lausanne · CHUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe advent of immune checkpoint blockade (ICB) has led to significantly improved disease outcome in lung adenocarcinoma (ADC), but response of ALK/EGFR-positive tumors to immune therapy is limited. The underlying immune biology is incompletely understood.

methodsWe performed comparative mRNA expression profiling of 31 ALK-positive, 40 EGFR-positive and 43 ALK/EGFR-negative lung ADC focused on immune gene expression. The presence and levels of tumor infiltration lymphocytes (TILs) as well as fourteen specific immune cell populations were estimated from the gene expression profiles.

resultsWhile total TILs were not lower in ALK-positive and EGFR-positive tumors compared to ALK/EGFR-negative tumors, specific immunosuppressive characteristics were detected in both subgroups: In ALK-positive tumors, regulatory T cells were significantly higher compared to EGFR-positive (fold change: FC = 1.9, p = 0.0013) and ALK/EGFR-negative tumors (FC = 2.1, p = 0.00047). In EGFR-positive tumors, cytotoxic cells were significantly lower compared to ALK-positive (FC =  - 1.7, p = 0.016) and to ALK/EGFR-negative tumors (FC =  - 2.1, p = 2.0E-05). A total number of 289 genes, 40 part of cytokine-cytokine receptor signaling, were differentially expressed between the three subgroups. Among the latter, five genes were differently expressed in both ALK-positive and EGFR-positive tumors, while twelve genes showed differential expression solely in ALK-positive tumors and eleven genes solely in EGFR-positive tumors.

conclusionTargeted gene expression profiling is a promising tool to read out tumor microenvironment characteristics from routine diagnostic lung cancer biopsies. Significant immune reactivity including specific immunosuppressive characteristics in ALK- and EGFR-positive lung ADC, but not a total absence of immune infiltration supports further clinical evaluation of immune-modulators as partners of ICB in such tumors.

Indexed as

Tumor MicroenvironmentAdenocarcinoma of LungAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseBiomarkers, TumorCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsLymphocytes, Tumor-InfiltratingALK protein, humanAnaplastic Lymphoma KinaseBiomarkers, TumorEGFR protein, humanErbB ReceptorsALK fusionEGFR mutationImmune checkpoint blockadeImmunosuppressionImmunotherapyLung adenocarcinoma

Identifiers

PMID34125345
PMCPMC8783861
OpenAlexW3167891114

What OpenQuestion holds

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LicenceCC BY
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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.