Evidence map›Paper›PMID 40282453›Full record

ArticleCancers2025

Novel Recurrent Cytogenetic Abnormalities Predict Overall Survival in Tetraploid/Near-Tetraploid Myelodysplastic Syndrome and Acute Myeloid Leukemia.

Matthew R Avenarius, Zachary B Abrams, Ling Guo, James S Blachly, Cecelia R Miller, Nyla A Heerema, Guilin Tang, Kevin R Coombes, Lynne V Abruzzo

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Matthew R AvenariusDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0000-0001-9516-5163
Zachary B AbramsInstitute for Informatics, Washington University in St. Louis, St. Louis, MO 63110, USA.
Ling GuoDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
James S BlachlyDivision of Hematology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Cecelia R MillerDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Nyla A HeeremaDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Guilin TangDepartment of Hematopathology, The UT M.D. Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-9482-4806
Kevin R CoombesThe Georgia Cancer Center at Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-7630-2123
Lynne V AbruzzoDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.

Funding

Secondary Use of Karyotype Data to Predict Outcomes in CLLR03CA235101 · NCI · OHIO STATE UNIVERSITY · PI COOMBES, KEVIN ROBERT · 2019 to 2020
$156k
NCI NIH HHS R03 CA235101Pelotonia Intramural Research Funds from The James Cancer Center Not applicable
6 · The paper itself

Abstract

BACKGROUND/

objectivesTetraploidy (4n = 92 chromosomes) and near-tetraploidy (81-103 chromosomes) (T/NT) are uncommon cytogenetic events in MDS/AML (~1%). Abnormalities reported to be associated with T/NT MDS/AML include -5/del(5q), -7/del(7q), +8, and +21. However, other clinically relevant abnormalities likely remain "hidden" in long strings of ISCN cytogenetic nomenclature when evaluated visually. To date, no studies have had the statistical power and a computational method to identify novel recurrent abnormalities associated with the T/NT karyotype or overall survival (OS).

methodsUsing CytoGPS, a bioinformatic tool we developed, we converted karyotypes from a combined cohort of 75 T/NT MDS/AML cases from two institutions into a binary Loss-Gain-Fusion model, which is analyzable using computational methods.

resultsOn univariate analyses, age as a continuous variable (

conclusionsUsing the results of univariate analyses to build multivariate models of OS, the best predictor of OS was the presence of any one of these six cytogenetic abnormalities.

Indexed as

acute myeloid leukemiacytogeneticsmyelodysplastic syndrometetraploidy

Identifiers

PMID40282453
PMCPMC12025582

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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 OpenQuestion graph.