Evidence map›Paper›PMID 32888472›Full record

ReviewThe Lancet. Oncology2020

Molecular profiling of neuroendocrine tumours to predict response and toxicity to peptide receptor radionuclide therapy.

Lisa Bodei, Heiko Schöder, Richard P Baum, Ken Herrmann, Jonathan Strosberg, Martyn Caplin, Kjell Öberg, Irvin M Modlin

Open access · greenAbstract readReview
In one paragraph

Review in The Lancet. Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Survival predictors ofJournal of cancer research and clinical oncology · 2022
    Trial
  4. Efficacy ofCurrent oncology (Toronto, Ont.) · 2020
    Trial
  5. Review
  6. Clinical Applications of Theranostics.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Visual and whole-body quantitative analyses ofAnnals of nuclear medicine · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  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

8 authors at 6 institutions in 4 countries.

Lisa BodeiMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: bodeil@mskcc.org.
Heiko SchöderMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Richard P BaumCURANOSTICUM, Center for Advanced Radiomolecular Precision Oncology, Wiesbaden, Germany.
Ken HerrmannDepartment of Nuclear Medicine, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.
Jonathan StrosbergDepartment of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Martyn CaplinNeuroendocrine Tumour Unit, Department of Gastroenterology, Royal Free Hospital, London, UK.
Kjell ÖbergDepartment of Endocrine Oncology, University Hospital, Uppsala, Sweden.
Irvin M ModlinDepartment of Surgery, Yale University School of Medicine, Yale University, New Haven, CT, USA.
Memorial Sloan Kettering Cancer Center · USMoffitt Cancer Center · USThe Royal Free Hospital · GBUniversity of Duisburg-Essen · DEUppsala University Hospital · SEYale University · US

Funding

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

Abstract

Peptide receptor radionuclide therapy (PRRT) is a type of radiotherapy that targets peptide receptors and is typically used for neuroendocrine tumours (NETs). Some of the key challenges in its use are the prediction of efficacy and toxicity, patient selection, and response optimisation. In this Review, we assess current knowledge on the molecular profile of NETs and the strategies and tools used to predict, monitor, and assess the toxicity of PRRT. The few mutations in tumour genes that can be evaluated (eg, ATM and DAXX) are limited to pancreatic NETs and are most likely not informative. Assays that are transcriptomic or based on genes are effective in the prediction of radiotherapy response in other cancers. A blood-based assay for eight genes (the PRRT prediction quotient [PPQ]) has an overall accuracy of 95% for predicting responses to PRRT in NETs. No molecular markers exist that can predict the toxicity of PRRT. Candidate molecular targets include seven single nucleotide polymorphisms (SNPs) that are susceptible to radiation. Transcriptomic evaluations of blood and a combination of gene expression and specific SNPs, assessed by machine learning with algorithms that are tumour-specific, might yield molecular tools to enhance the efficacy and safety of PRRT.

Indexed as

FemaleGene Expression Regulation, NeoplasticHumansMaleNeoplasm ProteinsNeuroendocrine TumorsPancreatic NeoplasmsPolymorphism, Single NucleotideRadioisotopesReceptors, Formyl PeptideTranscriptomeNeoplasm ProteinsRadioisotopesReceptors, Formyl Peptide

Identifiers

PMID32888472
PMCPMC8385643
OpenAlexW3082559156

What OpenQuestion holds

Textmetadata
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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.