Evidence map›Paper›PMID 41702995›Full record

ArticleScientific reports2026

Investigation of MicroRNAs as predictors of radioligand therapy response in gastroenteropancreatic neuroendocrine tumours.

Federica Scalorbi, Enrico Matteo Garanzini, Chiara Marzi, Manuela Gariboldi, Giuseppina Calareso, Michela Baccini, Giovanna Sabella, Sara Pusceddu, Alfonso Marchianò, Luca Roz and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Federica ScalorbiNuclear Medicine Department, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Enrico Matteo GaranziniDepartment of Radiodiagnostics and Radiotherapy, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Chiara MarziDepartment of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Viale Morgagni 59, Florence, 50134, Italy. chiara.marzi@unifi.it.
Manuela GariboldiMolecular Epigenomics Unit, Department of Experimental Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Giuseppina CalaresoDepartment of Radiodiagnostics and Radiotherapy, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Michela BacciniDepartment of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Viale Morgagni 59, Florence, 50134, Italy.
Giovanna SabellaFirst Division of Pathology, Department of Pathology and Laboratory Medicine, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Sara PuscedduDepartment of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Alfonso MarchianòDepartment of Radiodiagnostics and Radiotherapy, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Luca RozTumor Genomics Unit, Department of Experimental Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Massimo MilioneFirst Division of Pathology, Department of Pathology and Laboratory Medicine, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Marco MaccauroNuclear Medicine Department, ENETS Center of Excellence, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are commonly treated with radio-ligand therapy (RLT) but reliable biomarkers for predicting early disease progression are lacking. In this exploratory study we investigated whether microRNA (miRNA) expression in archival samples is associated with early response to RLT and with tumour origin and grading. Forty-eight formalin-fixed, paraffin-embedded samples from G1–G2 GEP-NETs patients treated with RLT (177Lu-Oxodotreotide (Lutathera®) were analyzed. Two CT or MRI scans per patient, performed within three months before and after RLT, were used to assess early progression (PD) according to RECIST v1.1. Thirteen miRNAs previously implicated in NET biology were quantified by qRT-PCR. Multiple logistic regression evaluated associations between miRNA expression and early progression, as well as relationships with tumour origin and grade. We observed trends suggesting that lower expression of miR-21-5p (OR = 0.51, 90% CI: 0.26–1.00) and miR-196a (OR = 0.78, 90% CI: 0.59–1.02), and higher expression of miR‑30a-5p (OR = 2.62, 90% CI: 0.1.14–6.05) may be associated with a reduced likelihood of early progression. Lower miR-196a and higher miR‑30a-5p expression was also more frequent in pancreatic tumours and lower miR-196a expression is associated to G1 lesions. These findings indicate that miRNA profiling in GEP-NETs archival samples is feasible and support the potential role of miR-21-5p, miR-196a, and miR‑30a-5p as exploratory biomarkers for early progression afterRLT. Further validation in independent cohorts is required to confirm these preliminary observations.

Indexed as

Intestinal NeoplasmsMicroRNAsNeuroendocrine TumorsPancreatic NeoplasmsStomach NeoplasmsAgedBiomarkers, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleBiomarkers, TumorMicroRNAsBiomarkersGEP-NETsMiRNAqRT-PCRResponse to treatmentRLT

Identifiers

PMID41702995
PMCPMC13002892

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.