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


Journal

The Lancet. Oncology
ISSN: 1474-5488
Titre abrégé: Lancet Oncol
Pays: England
ID NLM: 100957246

Informations de publication

Date de publication:
09 2020
Historique:
received: 26 02 2020
revised: 07 05 2020
accepted: 15 05 2020
pubmed: 6 9 2020
medline: 24 9 2020
entrez: 5 9 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32888472
pii: S1470-2045(20)30323-5
doi: 10.1016/S1470-2045(20)30323-5
pmc: PMC8385643
mid: NIHMS1718583
pii:
doi:

Substances chimiques

Neoplasm Proteins 0
Radioisotopes 0
Receptors, Formyl Peptide 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e431-e443

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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Auteurs

Lisa Bodei (L)

Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: bodeil@mskcc.org.

Heiko Schöder (H)

Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Richard P Baum (RP)

CURANOSTICUM, Center for Advanced Radiomolecular Precision Oncology, Wiesbaden, Germany.

Ken Herrmann (K)

Department of Nuclear Medicine, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.

Jonathan Strosberg (J)

Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.

Martyn Caplin (M)

Neuroendocrine Tumour Unit, Department of Gastroenterology, Royal Free Hospital, London, UK.

Kjell Öberg (K)

Department of Endocrine Oncology, University Hospital, Uppsala, Sweden.

Irvin M Modlin (IM)

Department of Surgery, Yale University School of Medicine, Yale University, New Haven, CT, USA.

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Classifications MeSH