Evidence map›Paper›PMID 32705455›Full record

ArticleMolecular imaging and biology2020

Granzyme B PET Imaging of Immune Checkpoint Inhibitor Combinations in Colon Cancer Phenotypes.

J L Goggi, Y X Tan, S V Hartimath, B Jieu, Y Y Hwang, L Jiang, R Boominathan, P Cheng, T Y Yuen, H X Chin and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular imaging and biology, 2020. 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
2.0field-weighted citation impact, top 11% 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, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Visualizing T-cell activation: PET imaging of CXCL9 as a window into the tumor immune response.American journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Molecular imaging to support cancer immunotherapy.Journal for immunotherapy of cancer · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. The aluminium-[EJNMMI radiopharmacy and chemistry · 2021
    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

16 authors at 3 institutions in 1 country.

J L GoggiSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
Y X TanSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
S V HartimathSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
B JieuInstitute of Chemical and Engineering Sciences (ICES), A*STAR, 8 Biomedical Grove, #07, Neuros, 138665, Singapore.
Y Y HwangSingapore Immunology Network, A*STAR, 8A Biomedical Grove, Immunos, 138648, Singapore.
L JiangSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
R BoominathanSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
P ChengSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
T Y YuenInstitute of Chemical and Engineering Sciences (ICES), A*STAR, 8 Biomedical Grove, #07, Neuros, 138665, Singapore.
H X ChinSingapore Immunology Network, A*STAR, 8A Biomedical Grove, Immunos, 138648, Singapore.
J R TangSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore.
A LarbiSingapore Immunology Network, A*STAR, 8A Biomedical Grove, Immunos, 138648, Singapore.
A M ChackoLaboratory for Translational and Molecular Imaging (LTMI), Cancer and Stem Cell Biology Programme, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
L ReniaSingapore Immunology Network, A*STAR, 8A Biomedical Grove, Immunos, 138648, Singapore.
C Johannesp53 Laboratory, A*STAR, 8A Biomedical Grove, #06-04/05, Neuros/Immunos, 138665, Singapore.
Edward G RobinsSingapore Bioimaging Consortium, Agency for Science, Technology and Research (A* STAR), 11 Biopolis Way, #01-02, Helios, 138667, Singapore. edward_robins@sbic.a-star.edu.sg.ORCID http://orcid.org/0000-0002-0156-8082
Agency for Science, Technology and Research · SGDuke-NUS Medical School · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImmune checkpoint inhibitor (ICI) monotherapy and combination regimens are being actively pursued as strategies to improve durable response rates in cancer patients. However, the biology surrounding combination therapies is not well understood and may increase the likelihood of immune-mediated adverse events. Accurate stratification of ICI response by non-invasive PET imaging may help ensure safe therapy management across a wide number of cancer phenotypes. PROCEDURES: We have assessed the ability of a fluorine-labelled peptide, [

results[

conclusions[

Indexed as

Positron-Emission TomographyAnimalsAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorColonic NeoplasmsGranzymesHumansImmune Checkpoint InhibitorsLeukocytesMagnetic Resonance ImagingMice, Inbred BALB CMice, Inbred C57BLPeptidesPhenotypeTomography, X-Ray ComputedTreatment OutcomeGranzymesImmune Checkpoint InhibitorsPeptides[18F]AlF-mNOTA-GZPCT26Immune checkpoint inhibitor (ICI)MC38

Identifiers

PMID32705455
PMCPMC7497445
OpenAlexW3044834328

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.