Evidence map›Paper›PMID 38853970›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Evaluation of Acute Myeloid Leukemia Genomes using Genomic Proximity Mapping.

Cecilia Cs Yeung, Stephen M Eacker, Olga Sala-Torra, Lan Beppu, David W Woolston, Ivan Liachko, Maika Malig, Derek Stirewalt, Min Fang, Jerald Radich

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Cecilia Cs YeungTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-6799-2022
Stephen M EackerPhase Genomics, Seattle, WA, USA.ORCID 0000-0002-9678-1192
Olga Sala-TorraTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-8067-2581
Lan BeppuTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-0401-1159
David W WoolstonTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0009-0004-0006-5311
Ivan LiachkoPhase Genomics, Seattle, WA, USA.
Maika MaligPhase Genomics, Seattle, WA, USA.ORCID 0000-0002-2535-6607
Derek StirewaltTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0003-4151-3171
Min FangTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0003-0431-881X
Jerald RadichTranslational Science and Transplantation Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-1618-230X

Funding

ITSC for Leukemia: Novel Molecular strategies for NCTN "Individualized" TherapiesUG1CA233338 · NCI · UNIVERSITY OF CINCINNATI · PI BYRD, JOHN C. · 2019 to 2025
$4.5M
Understanding and predicting relapse in acute myeloid leukemiaR01CA175008 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RADICH, JERALD PATRICK · 2013 to 2023
$3.9M
AI-based AML risk stratification using next generation cytogenomicsR44CA278140 · NCI · PHASE GENOMICS, INC. · PI EACKER, STEPHEN MATTHEW · 2023 to 2024
$2.0M
NCI NIH HHS R01 CA175008NCI NIH HHS R44 CA278140NCI NIH HHS UG1 CA233338
6 · The paper itself

Abstract

Background: Cytogenetic analysis encompasses a suite of standard-of-care diagnostic testing methods that is routinely applied in cases of acute myeloid leukemia (AML) to assess chromosomal changes that are clinically relevant for risk classification and treatment decisions. Objective: In this study, we assess the use of Genomic Proximity Mapping (GPM) for cytogenomic analysis of AML diagnostic specimens for detection of cytogenetic risk variants included in the European Leukemia Network (ELN) risk stratification guidelines. Methods: Archival patient samples (N=48) from the Fred Hutchinson Cancer Center leukemia bank with historical clinical cytogenetic data were processed for GPM and analyzed with the CytoTerra Results: GPM showed 100% concordance for all specific variants that have associated impacts on risk stratification as defined by ELN 2022 criteria, and a 72% concordance rate when considering all variants reported by the FH cytogenetic lab. GPM identified 39 additional variants, including variants of known clinical impact, not observed by cytogenetics. Conclusions: GPM is an effective solution for the evaluation of known AML-associated risk variants and a source for biomarker discovery.

Indexed as

Acute myeloid leukemiaAMLgenomic profilinggenomic proximity mappingmolecular genetics pathology

Identifiers

PMID38853970
PMCPMC11160846

What OpenQuestion holds

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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 OpenQuestion graph.