Evidence map›Paper›PMID 35393508›Full record

ReviewNPJ precision oncology2022

Imaging immunity in patients with cancer using positron emission tomography.

Fiona Hegi-Johnson, Stacey Rudd, Rodney J Hicks, Dirk De Ruysscher, Joseph A Trapani, Thomas John, Paul Donnelly, Benjamin Blyth, Gerard Hanna, Sarah Everitt and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Imaging Immunotherapy.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Development of a [89Zr]Zr-labeled Human Antibody using a Novel Phage-displayed Human scFv Library.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Review
  12. Noninvasive PET imaging of tumor PD-L1 expression withAmerican journal of nuclear medicine and molecular imaging · 2024
    Article
  13. Article
  14. Review
  15. The Imageable Genome.Nature communications · 2023
    Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

12 authors at 3 institutions in 2 countries.

Fiona Hegi-JohnsonDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-4543-8802
Stacey RuddDepartment of Chemistry, University of Melbourne, Melbourne, VIC, Australia.
Rodney J HicksThe Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-0758-0824
Dirk De RuysscherDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands.
Joseph A TrapaniThe Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
Thomas JohnThe Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
Paul DonnellyDepartment of Chemistry, University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-5373-0080
Benjamin BlythThe Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
Gerard HannaDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-1003-5138
Sarah EverittDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Peter RoseltDepartment of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Michael P MacManusDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. michael.macmanus@petermac.org.ORCID http://orcid.org/0000-0002-0900-5815
The University of Melbourne · AUMaastricht University · NLPeter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors and related molecules can achieve tumour regression, and even prolonged survival, for a subset of cancer patients with an otherwise dire prognosis. However, it remains unclear why some patients respond to immunotherapy and others do not. PET imaging has the potential to characterise the spatial and temporal heterogeneity of both immunotherapy target molecules and the tumor immune microenvironment, suggesting a tantalising vision of personally-adapted immunomodulatory treatment regimens. Personalised combinations of immunotherapy with local therapies and other systemic therapies, would be informed by immune imaging and subsequently modified in accordance with therapeutically induced immune environmental changes. An ideal PET imaging biomarker would facilitate the choice of initial therapy and would permit sequential imaging in time-frames that could provide actionable information to guide subsequent therapy. Such imaging should provide either prognostic or predictive measures of responsiveness relevant to key immunotherapy types but, most importantly, guide key decisions on initiation, continuation, change or cessation of treatment to reduce the cost and morbidity of treatment while enhancing survival outcomes. We survey the current literature, focusing on clinically relevant immune checkpoint immunotherapies, for which novel PET tracers are being developed, and discuss what steps are needed to make this vision a reality.

Identifiers

PMID35393508
PMCPMC8989882
OpenAlexW4224326800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.