Evidence map›Paper›PMID 40563473›Full record

ReviewBiomolecules2025

Chromoanagenesis in Osteosarcoma.

Guozhuang Li, Nan Wu, Jen Ghabrial, Victoria Stinnett, Melanie Klausner, Laura Morsberger, Patty Long, Ezra Baraban, John M Gross, Ying S Zou

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

Guozhuang LiState Key Laboratory of Complex Severe and Rare Diseases, Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Nan WuState Key Laboratory of Complex Severe and Rare Diseases, Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.ORCID 0000-0002-9429-2889
Jen GhabrialDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-1993-4087
Victoria StinnettDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-0317-1385
Melanie KlausnerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Laura MorsbergerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Patty LongDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Ezra BarabanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
John M GrossDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Ying S ZouDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-2787-1917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromoanagenesis is a catastrophic genomic phenomenon involving sudden, extensive rearrangements within one or a few cell cycles. In osteosarcoma, the most prevalent malignant bone tumor in children and adolescents, these events dramatically alter the genomic landscape, frequently disrupting key tumor suppressor genes like

Indexed as

Bone NeoplasmsChromothripsisOsteosarcomaAnimalsDNA RepairGenomic InstabilityHumanschromoanagenesischromoanasynthesischromothripsiscopy number variantgene mutationosteosarcomastructural variant

Identifiers

PMID40563473
PMCPMC12190463

What OpenQuestion holds

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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 OpenQuestion graph.