Evidence map›Paper›PMID 32408884›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Annie Wong, Jason Callahan, Marleen Keyaerts, Bart Neyns, Johanna Mangana, Susanne Aberle, Alan Herschtal, Sonia Fullerton, Donna Milne, Amir Iravani and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. The value ofEuropean journal of nuclear medicine and molecular imaging · 2021
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  6. Prognostic Value ofJournal of clinical medicine · 2026
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  7. Imaging Immunotherapy.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  8. Can we obtain prognostic information from healthy tissue uptake and volume in baselineEuropean journal of nuclear medicine and molecular imaging · 2026
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  9. The Prognostic Value of Biomarkers Identified by [Diagnostics (Basel, Switzerland) · 2025
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  13. Organ Crosstalk: The Role of Spleen.Phenomics (Cham, Switzerland) · 2025
    Review
  14. Early-time-pointRadiology and oncology · 2025
    Article
  15. The Combined Prognostic Value ofCancer medicine · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Healthy tissue metabolism assessed by [Scientific reports · 2024
    Article
  20. IsCancers · 2024
    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 5 institutions in 3 countries.

Annie WongResearch Division, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia. Annie.Wong@petermac.org.
Jason CallahanDepartment of Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Marleen KeyaertsNuclear Medicine Department, UZ Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium.
Bart NeynsDepartment of Medical Oncology, UZ Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium.
Johanna ManganaDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.
Susanne AberleDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Alan HerschtalCentre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Sonia FullertonDepartment of Palliative Care, Peter MacCallum Cancer Centre, Melbourne, Australia.
Donna MilneDepartment of Cancer Experiences Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Amir IravaniDepartment of Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Grant A McArthurResearch Division, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Rodney J HicksResearch Division, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Peter MacCallum Cancer Centre · AUUniversity of Melbourne · AUUniversity Hospital of Zurich · CHUniversitair Ziekenhuis Brussel · BEVrije Universiteit Brussel · BE

Funding

National Health and Medical Research Council APP1108050Royal Australasian College of Physicians NZ Research Entry Scholarship
6 · The paper itself

Abstract

backgroundImmune checkpoint blockade such as ipilimumab and anti-PD1 monoclonal antibodies have significantly improved survival in advanced melanoma. Biomarkers are urgently needed as a majority of patients do not respond, despite treatment-related toxicities. We analysed pre-treatment

methodsThis retrospective study evaluated pre-treatment FDG PET/CT scans in a discovery cohort of patients with advanced melanoma treated with ipilimumab or anti-PD1. Pre-treatment scans were assessed for maximum tumoral standardised uptake value (SUVmax), metabolic tumour volume (MTV) and spleen to liver ratio (SLR). Progression-free survival (PFS) and overall survival (OS) were characterised and modelled using univariable and multivariable analyses. Correlation of SLR and OS was validated in an independent cohort. Blood parameters and stored sera of patients from the discovery cohort was analysed to investigate biological correlates with SLR.

resultsOf the 90 evaluable patients in the discovery cohort: 50 received ipilimumab monotherapy, 20 received anti-PD1 monotherapy, and 20 patients received ipilimumab followed by anti-PD1 upon disease progression. High SLR > 1.1 was associated with poor PFS (median 1 vs 3 months; HR 3.14, p = 0.008) for patients treated with ipilimumab. High SLR was associated with poor OS after ipilimumab (median 1 vs 21 months; HR 5.83, p = 0.0001); as well as poor OS after first line immunotherapy of either ipilimumab or anti-PD1 (median 1 vs 14 months; HR 3.92, p = 0.003). The association of high SLR and poor OS after ipilimumab was validated in an independent cohort of 110 patients (median 2.3 months versus 11.9 months, HR 3.74). SLR was associated with poor OS in a multi-variable model independent of stage, LDH, absolute lymphocyte count and MTV.

conclusionsPre-treatment Spleen to liver ratio (SLR) > 1.1 was associated with poor outcome after ipilimumab in advanced melanoma. This parameter warrants prospective evaluation.

Indexed as

Positron Emission Tomography Computed TomographyAdultAgedAntineoplastic Agents, ImmunologicalFemaleFluorodeoxyglucose F18HumansIpilimumabLiverMaleMelanomaMiddle AgedRadiopharmaceuticalsSpleenAntineoplastic Agents, ImmunologicalFluorodeoxyglucose F18IpilimumabRadiopharmaceuticalsBiomarkerImmune checkpoint blockadeMelanomaPositron emission tomographySpleen to liver ratio

Identifiers

PMID32408884
PMCPMC7227105
OpenAlexW3026905936

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.