Evidence map›Paper›PMID 36338721›Full record

ReviewFrontiers in oncology2022

Chromosome instability in neuroblastoma: A pathway to aggressive disease.

Lucia Paolini, Sajjad Hussain, Paul J Galardy

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06502210 (Identification of New Gene Spliceosomes in Neuroblastoma and Their Translational Application in Clinical Accurate Diagnosis and Therapy), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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.

NCT06502210 unknown statusnot on this mapstarted 2024, after this paper: background citation

Identification of New Gene Spliceosomes in Neuroblastoma and Their Translational Application in Clinical Accurate Diagnosis and Therapy

Typeobservational_patient_registrySponsorAffiliated Hospital of Nantong UniversityRan2024 to 2024Enrolled20ConditionsNeuroblastomaArmsPersonalized surgical therapy of neuroblastoma
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Neuroblastoma Patients' Outcome and Chromosomal Instability.International journal of molecular sciences · 2023
    Article
  5. Review
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

3 authors at 2 institutions in 2 countries.

Lucia PaoliniDepartment of Pediatrics, University of Milano-Bicocca, San Gerardo Hospital, Monza, MI, Italy.
Sajjad HussainDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States.
Paul J GalardyDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For over 100-years, genomic instability has been investigated as a central player in the pathogenesis of human cancer. Conceptually, genomic instability includes an array of alterations from small deletions/insertions to whole chromosome alterations, referred to as chromosome instability. Chromosome instability has a paradoxical impact in cancer. In most instances, the introduction of chromosome instability has a negative impact on cellular fitness whereas in cancer it is usually associated with a worse prognosis. One exception is the case of neuroblastoma, the most common solid tumor outside of the brain in children. Neuroblastoma tumors have two distinct patterns of genome instability:

Indexed as

aneuploidychromosome instability (CIN)chromosome missegregationdeubuquitylasesmitosismitotic spindleneuroblastoma

Identifiers

PMID36338721
PMCPMC9633097
OpenAlexW4306924958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.