Evidence map›Paper›PMID 42909156›Full record

ReviewOncology reviews2026

The role of personalised medicine in treating high-risk neuroblastoma in paediatric patients.

Daniele Ammeti, Debora Curci, Martina Franzin, Marco Rabusin, Melania Eva Zanchetta, Antonella Fabretto

Abstract readReview
In one paragraph

Review in Oncology reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Daniele AmmetiDepartment of Translational and Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.
Debora CurciDepartment of Translational and Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.
Martina FranzinDepartment of Translational and Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.
Marco RabusinDepartment of Pediatrics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.
Melania Eva ZanchettaDepartment of Translational and Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.
Antonella FabrettoDepartment of Translational and Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo" - Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma (NB) is one of the most challenging paediatric malignancies, accounting for 15% of childhood cancer-related deaths. It is characterised by a high heterogeneity ranging from spontaneous regression to high frequency of metastatic disease at diagnosis. Although current treatment strategies, including chemotherapy, surgery and radiotherapy, have improved outcomes, recurrence often occurs in high-risk NB patients, thus affecting overall survival. In this context, personalised medicine is emerging as a promising approach taking advantage of predictive biomarkers to refine risk stratification and to predict treatment response, together with the development of innovative treatments for high-risk NB. This review summarises the landscape of biomarkers in NB, focusing on genomic, transcriptomic, proteomic, and metabolomic signatures associated with aggressive disease biology, therapeutic resistance, and clinical outcome. We highlight how improved patient stratification could help to identify actionable targets resulting in innovative therapeutic strategies. These include GD2-directed immunotherapy, CAR-T and CAR-NK cell approaches, and pathway-directed agents targeting mainly ALK, and MYCN-associated dependencies. Ultimately, the transition from standardised protocols to a systematic integration of multidimensional biomarker profiles with next-generation therapies promises to transform the clinical management of high-risk NB. Addressing the biological complexity of NB ensures more effective and less toxic interventions, paving the way for personalised therapeutic approaches aimed at preventing relapse in high-risk cases and significantly improving long-term survival.

Indexed as

genomicsmetabolomicsneuroblastomapersonalised medicinepredictive biomarkersproteomicstranscriptomicstreatment

Identifiers

PMID42909156
PMCPMC13683840

What OpenQuestion holds

Textmetadata
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.