Evidence map›Paper›PMID 35626272›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Translating Molecules into Imaging-The Development of New PET Tracers for Patients with Melanoma.

Laetitia Vercellino, Dorine de Jong, Laurent Dercle, Benoit Hosten, Brian Braumuller, Jeeban Paul Das, Aileen Deng, Antoine Moya-Plana, Camry A'Keen, Randy Yeh and 4 more

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Precision Oncology in Melanoma: Changing Practices.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Review
  3. Review
  4. Review
  5. Review
  6. Advances in PET/CT Imaging for Breast Cancer.Journal of clinical medicine · 2023
    Review
  7. Review
  8. Review
  9. Review
  10. In vivo (Athens, Greece)
    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

14 authors.

Laetitia VercellinoNuclear Medicine Department, University Hospital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité and INSERM, UMR_S942 MASCOT, 75006 Paris, France.
Dorine de JongCenter for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0003-4366-9145
Laurent DercleDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Benoit HostenFaculté de Pharmacie de Paris, Université de Paris, Inserm UMR-S1144-Optimisation Thérapeutique en Neuropsychopharmacologie, 4 Avenue de l'Observatoire, 75006 Paris, France.
Brian BraumullerDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Jeeban Paul DasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0001-7619-4241
Aileen DengNovant Health Cancer Institute, Charlotte, NC 28144, USA.
Antoine Moya-PlanaHead and Neck Oncology Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France.
Camry A'KeenDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-5665-2583
Randy YehDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Pascal MerletNuclear Medicine Department, University Hospital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité and INSERM, UMR_S942 MASCOT, 75006 Paris, France.
Barouyr BaroudjianNuclear Medicine Department, University Hospital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité and INSERM, UMR_S942 MASCOT, 75006 Paris, France.
Mary M SalvatoreDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Kathleen M CapaccioneDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0002-6536-2673

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Melanoma is a deadly disease that often exhibits relentless progression and can have both early and late metastases. Recent advances in immunotherapy and targeted therapy have dramatically increased patient survival for patients with melanoma. Similar advances in molecular targeted PET imaging can identify molecular pathways that promote disease progression and therefore offer physiological information. Thus, they can be used to assess prognosis, tumor heterogeneity, and identify instances of treatment failure. Numerous agents tested preclinically and clinically demonstrate promising results with high tumor-to-background ratios in both primary and metastatic melanoma tumors. Here, we detail the development and testing of multiple molecular targeted PET-imaging agents, including agents for general oncological imaging and those specifically for PET imaging of melanoma. Of the numerous radiopharmaceuticals evaluated for this purpose, several have made it to clinical trials and showed promising results. Ultimately, these agents may become the standard of care for melanoma imaging if they are able to demonstrate micrometastatic disease and thus provide more accurate information for staging. Furthermore, these agents provide a more accurate way to monitor response to therapy. Patients will be able to receive treatment based on tumor uptake characteristics and may be able to be treated earlier for lesions that with traditional imaging would be subclinical, overall leading to improved outcomes for patients.

Indexed as

melanomamolecular targetingPET imaging

Identifiers

PMID35626272
PMCPMC9139963

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.