Evidence map›Paper›PMID 35070990›Full record

ReviewFrontiers in oncology2021

Imaging the Rewired Metabolism in Lung Cancer in Relation to Immune Therapy.

Evelien A J van Genugten, Jetty A M Weijers, Sandra Heskamp, Manfred Kneilling, Michel M van den Heuvel, Berber Piet, Johan Bussink, Lizza E L Hendriks, Erik H J G Aarntzen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 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
0.4field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Targeting Lung Cancer Metabolism: Therapeutic Opportunities and Challenges.Advances in experimental medicine and biology · 2026
    Review
  5. Article
  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

9 authors at 4 institutions in 2 countries.

Evelien A J van GenugtenDepartment of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands.
Jetty A M WeijersDepartment of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands.
Sandra HeskampDepartment of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands.
Manfred KneillingDepartment of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University, Tuebingen, Germany.
Michel M van den HeuvelDepartment of Respiratory Diseases, Radboudumc, Nijmegen, Netherlands.
Berber PietDepartment of Respiratory Diseases, Radboudumc, Nijmegen, Netherlands.
Johan BussinkRadiotherapy and OncoImmunology Laboratory, Department of Radiation Oncology, Radboudumc, Netherlands.
Lizza E L HendriksDepartment of Pulmonary Diseases, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre (UMC), Maastricht, Netherlands.
Erik H J G AarntzenDepartment of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands.
Radboud University Medical Center · NLRadboud University Nijmegen · NLMaastricht University Medical Centre · NLUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming is recognized as one of the hallmarks of cancer. Alterations in the micro-environmental metabolic characteristics are recognized as important tools for cancer cells to interact with the resident and infiltrating T-cells within this tumor microenvironment. Cancer-induced metabolic changes in the micro-environment also affect treatment outcomes. In particular, immune therapy efficacy might be blunted because of somatic mutation-driven metabolic determinants of lung cancer such as acidity and oxygenation status. Based on these observations, new onco-immunological treatment strategies increasingly include drugs that interfere with metabolic pathways that consequently affect the composition of the lung cancer tumor microenvironment (TME). Positron emission tomography (PET) imaging has developed a wide array of tracers targeting metabolic pathways, originally intended to improve cancer detection and staging. Paralleling the developments in understanding metabolic reprogramming in cancer cells, as well as its effects on stromal, immune, and endothelial cells, a wave of studies with additional imaging tracers has been published. These tracers are yet underexploited in the perspective of immune therapy. In this review, we provide an overview of currently available PET tracers for clinical studies and discuss their potential roles in the development of effective immune therapeutic strategies, with a focus on lung cancer. We report on ongoing efforts that include PET/CT to understand the outcomes of interactions between cancer cells and T-cells in the lung cancer microenvironment, and we identify areas of research which are yet unchartered. Thereby, we aim to provide a starting point for molecular imaging driven studies to understand and exploit metabolic features of lung cancer to optimize immune therapy.

Indexed as

immunotherapylung cancermetabolismmolecular imagingT-cells (or lymphocytes)tumor microenvironment

Identifiers

PMID35070990
PMCPMC8779734
OpenAlexW4206454335

What OpenQuestion holds

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LicenceCC BY
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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.