Evidence map›Paper›PMID 32455666›Full record

ReviewCancers2020

Novel Nuclear Medicine Imaging Applications in Immuno-Oncology.

Stefano Frega, Alessandro Dal Maso, Giulia Pasello, Lea Cuppari, Laura Bonanno, PierFranco Conte, Laura Evangelista

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Glucose-Thymidine Ratio as a Metabolism Index UsingInternational journal of molecular sciences · 2022
    Article
  4. Immuno-Imaging (PET/SPECT)-Quo Vadis?Molecules (Basel, Switzerland) · 2022
    Review
  5. Immune Checkpoint Inhibitors in Advanced NSCLC: [Diagnostics (Basel, Switzerland) · 2021
    Article
  6. Review
  7. Article
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

7 authors at 2 institutions in 1 country.

Stefano FregaOncology 2 Unit, Department of Medical Oncology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padova, Italy.
Alessandro Dal MasoDepartment of Surgery, Oncology and Gastroenterology, University of Padua, 35128 Padova, Italy.ORCID 0000-0003-3743-717X
Giulia PaselloOncology 2 Unit, Department of Medical Oncology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padova, Italy.
Lea CuppariNuclear Medicine Unit, Veneto Institute of Oncology IOV-IRCCS, University of Padua, 35128 Padova, Italy.ORCID 0000-0002-5277-6105
Laura BonannoOncology 2 Unit, Department of Medical Oncology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padova, Italy.ORCID 0000-0002-4810-7136
PierFranco ConteOncology 2 Unit, Department of Medical Oncology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padova, Italy.ORCID 0000-0002-5210-5344
Laura EvangelistaNuclear Medicine Unit, Department of Medicine, University of Padua, 35128 Padova, Italy.ORCID 0000-0002-5955-9488
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global immuno-oncology pipeline has grown progressively in recent years, leading cancer immunotherapy to become one of the main issues of the healthcare industry. Despite their success in the treatment of several malignancies, immune checkpoint inhibitors (ICIs) perform poorly in others. Again, ICIs action depends on such a multitude of clinico-pathological features, that the attempt to predict responders/long-responders with ad-hoc built immunograms revealed to be quite complex. In this landscape, the role of nuclear medicine might be crucial, with first interesting evidences coming from small case series and pre-clinical studies. Positron-emission tomography (PET) techniques provide functional information having a predictive and/or prognostic value in patients treated with ICIs or adoptive T-cell therapy. Recently, a characterization of the tumor immune microenvironment (TiME) pattern itself has been shown to be feasible through the use of different radioactive tracers or image algorithms, thus adding knowledge about tumor heterogeneity. Finally, nuclear medicine exams permit an early detection of immune-related adverse events (irAEs), with on-going clinical trials investigating their correlation with patients' outcome. This review depicts the recent advances in molecular imaging both in terms of non-invasive diagnosis of TiME properties and benefit prediction from immunotherapeutic agents.

Indexed as

immune checkpoint inhibitorsimmunotherapynuclear medicinepositron-emission tomographysingle-photon emission computed tomography

Identifiers

PMID32455666
PMCPMC7281332
OpenAlexW3027658114

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.