Evidence map›Paper›PMID 42558335›Full record

ReviewFrontiers in oncology2026

Integrative precision oncology in neuroblastoma: multi-omics biomarkers, molecular targets, and immunotherapeutic strategies.

Amitabh Singh, Neha Goel, Sumit Mehndiratta, Aanchal Chaudhry, Manpreet Kaur, Sandeep Kumar Swain, Prashant Prabhakar, Aroonima Misra, Bhavika Rishi

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

9 authors.

Amitabh Singh *Department of Pediatrics, Division of Pediatric Oncology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Neha Goel *Department of Pediatrics, Division of Pediatric Oncology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Sumit MehndirattaDepartment of Pediatrics, Division of Pediatric Oncology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Aanchal ChaudhryDepartment of Molecular Pathology, Indian Council of Medical Research (ICMR) - National Institute of Child Health Research, New Delhi, India.
Manpreet KaurDepartment of Molecular Pathology, Indian Council of Medical Research (ICMR) - National Institute of Child Health Research, New Delhi, India.
Sandeep Kumar SwainDepartment of Molecular Pathology, Indian Council of Medical Research (ICMR) - National Institute of Child Health Research, New Delhi, India.
Prashant PrabhakarDepartment of Pediatrics, Division of Pediatric Oncology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Aroonima MisraDepartment of Molecular Pathology, Indian Council of Medical Research (ICMR) - National Institute of Child Health Research, New Delhi, India.
Bhavika RishiDepartment of Molecular Pathology, Indian Council of Medical Research (ICMR) - National Institute of Child Health Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma is the most frequent extracranial solid tumor of young children and demonstrates a wide range of biological behavior, from spontaneous regression to highly aggressive metastatic disease. Recent advances in genomics, epigenetics, tumor microenvironment biology, and multi-omics technologies have greatly enhanced understanding of neuroblastoma pathogenesis and enabled the development of precision diagnostic and prognostic approaches. This review examines current evidence for molecular and cellular mechanisms underlying neuroblastoma initiation, progression, and therapeutic resistance, with a focus on MYCN amplification, ALK pathway dysregulation, chromosomal instability, telomere maintenance mechanisms, epigenetic remodeling, and neural crest developmental biology. This review primarily emphasizes that these characteristics should be interpreted within a unified developmental framework. In this context, age serves more as an indicator of the differentiation status of the sympathoadrenal progenitor pool rather than merely a timeline for the accumulation of somatic mutations. This viewpoint connects the epigenetic, genetic, and clinical aspects of the disease, providing insight into its distinctive range of behaviors, from spontaneous regression in infants to fatal progression in older children. The promising role of integrative diagnostic platforms - such as genomic profiling, liquid biopsy, radiomics, metabolomics, single-cell sequencing, and artificial intelligence-aided imaging approaches - in early detection and disease characterization is explored in detail. The evaluation of both existing and emerging prognostic models involves a critical analysis of molecular biomarkers, tumor microenvironment signatures, circulating tumor DNA, immune profiling, and machine-learning-based stratification systems. Additionally, the translational potential of systems biology approaches is examined, along with future directions for integrating multi-omics data into clinically relevant precision oncology frameworks. Integrative approaches are collectively reshaping neuroblastoma research by connecting molecular pathogenesis with advanced diagnostic and prognostic tools. These developments are expected to facilitate enhanced risk-adapted therapeutic strategies, personalized medicine, and ultimately, improved survival rates in children with neuroblastoma.

Indexed as

liquid biopsymulti-omicsMYCNneuroblastomapediatric oncologyprecision oncologyprognostic biomarkerstumor microenvironment

Identifiers

PMID42558335
PMCPMC13437374

What Socratic holds

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LicenceCC BY
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Registered trials

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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.