Evidence map›Paper›PMID 29484451›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

PRRT genomic signature in blood for prediction of

Lisa Bodei, Mark S Kidd, Aviral Singh, Wouter A van der Zwan, Stefano Severi, Ignat A Drozdov, Jaroslaw Cwikla, Richard P Baum, Dik J Kwekkeboom, Giovanni Paganelli and 2 more

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
11.3field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Review
  3. Clinical Applications of Theranostics.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Prediction ofCancers · 2023
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Relevance of Volumetric Parameters Applied to [Diagnostics (Basel, Switzerland) · 2023
    Article
  18. Circulating hsa-miR-5096 predictsFrontiers in oncology · 2023
    Article
  19. Review
  20. Peptide Receptor Radionuclide Therapy.The Journal of clinical endocrinology and metabolism · 2022
    Article

5 more citing papers are in PubMed but not listed here.

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 8 institutions in 5 countries.

Lisa BodeiMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, Box 77, New York, NY, 10065, USA. bodeil@mskcc.org.
Mark S KiddWren Laboratories, Branford, CT, USA.
Aviral SinghTheranostics Center for Molecular Radiotherapy and Imaging, Zentralklinik Bad Berka, Bad Berka, Germany.
Wouter A van der ZwanDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Stefano SeveriNuclear Medicine and Radiometabolic Units, Instituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Ignat A DrozdovWren Laboratories, Branford, CT, USA.
Jaroslaw CwiklaUniversity of Warmia and Mazury, Olsztyn, Poland.
Richard P BaumLuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.
Dik J KwekkeboomLuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.
Giovanni PaganelliNuclear Medicine and Radiometabolic Units, Instituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Eric P KrenningLuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.
Irvin M ModlinLuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.
Erasmus MC · NLIstituti di Ricovero e Cura a Carattere Scientifico · ITWren Laboratories (United States) · USZentralklinik Bad Berka · DECyclotron (Netherlands) · NLMemorial Sloan Kettering Cancer Center · USUniversity of Warmia and Mazury in Olsztyn · PLYale University · US

Funding

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

Abstract

backgroundPeptide receptor radionuclide therapy (PRRT) utilizes somatostatin receptor (SSR) overexpression on neuroendocrine tumors (NET) to deliver targeted radiotherapy. Intensity of uptake at imaging is considered related to efficacy but has low sensitivity. A pretreatment strategy to determine individual PRRT response remains a key unmet need. NET transcript expression in blood integrated with tumor grade provides a PRRT predictive quotient (PPQ) which stratifies PRRT "responders" from "non-responders". This study clinically validates the utility of the PPQ in NETs.

methodsThe development and validation of the PPQ was undertaken in three independent

resultsIn the developmental cohort, 56% responded to PRRT. The PPQ predicted 100% of responders and 84% of non-responders (accuracy: 93%). In the two validation cohorts (response: 64-79%), the PPQ was 95% accurate (Bad Berka: PPQ + =97%, PPQ- = 93%; Rotterdam: PPQ + =94%, PPQ- = 100%). Overall, the median PFS was not reached in PPQ+ vs PPQ- (10-14 months; HR: 18-77, p < 0.0001). In the comparator cohorts, the predictor (PPQ) was 47-50% accurate for SSA-treatment and 50% as a prognostic. No differences in PFS were respectively noted (PPQ+: 10-12 months vs. PPQ-: 9-15 months).

conclusionThe PPQ derived from circulating NET specific genes and tumor grade prior to the initiation of therapy is a highly specific predictor of the efficacy of PRRT with an accuracy of 95%.

Indexed as

GenomicsPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeuroendocrine TumorsOctreotideProspective Studies177Lu-octreotateOctreotideBiomarkerCarcinoidLiquid biopsyNeuroendocrinePredictionPRRT

Identifiers

PMID29484451
PMCPMC6716527
OpenAlexW2792897966

What OpenQuestion holds

Textmetadata
LicenceTDM
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.