Evidence map›Paper›PMID 30171026›Full record

ArticleHaematologica2019

Targeted RNA-sequencing for the quantification of measurable residual disease in acute myeloid leukemia.

Laura W Dillon, Sheida Hayati, Gregory W Roloff, Ilker Tunc, Mehdi Pirooznia, Antonina Mitrofanova, Christopher S Hourigan

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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.

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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Acute Myeloid Leukemia-Use of Measurable Residual Disease to Improve Outcomes.Advances in experimental medicine and biology · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Novel Tools for Diagnosis and Monitoring of AML.Current oncology (Toronto, Ont.) · 2023
    Review
  13. Achieving MRD negativity in AML: how important is this and how do we get there?Hematology. American Society of Hematology. Education Program · 2022
    Article
  14. Normalization ofEJHaem · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Impact of Conditioning Intensity of Allogeneic Transplantation for Acute Myeloid Leukemia With Genomic Evidence of Residual Disease.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Article
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

7 authors at 3 institutions in 1 country.

Laura W DillonLaboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Sheida HayatiLaboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Gregory W RoloffLaboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Ilker TuncBioinformatics and Computational Biology Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Mehdi PiroozniaBioinformatics and Computational Biology Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Antonina MitrofanovaDepartment of Health Informatics, Rutgers School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ.
Christopher S HouriganLaboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD hourigan@nih.gov.
National Institutes of Health · USNational Heart Lung and Blood Institute · USRutgers, The State University of New Jersey · US

Funding

Detection, prevention and treatment of acute myeloid leukemia (AML) relapse.ZIAHL006163 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI HOURIGAN, CHRISTOPHER · 2013 to 2023
$21.0M
Bioinformatics CoreZICHL006228 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PIROOZNIA, MEHDI · 2017 to 2021
$6.6M
6 · The paper itself

Abstract

Great effort is spent on developing therapies to improve the dire outcomes of those diagnosed with acute myeloid leukemia. The methods for quantifying response to therapeutic intervention have however lacked sensitivity. Patients achieving a complete remission as defined by conventional cytomorphological methods therefore remain at risk of subsequent relapse due to disease persistence. Improved risk stratification is possible based on tests designed to detect this residual leukemic burden (measurable residual disease). However, acute myeloid leukemia is a genetically diverse set of diseases, which has made it difficult to develop a single, highly reproducible, and sensitive assay for measurable residual disease. Here we present the development of a digital targeted RNA-sequencing-based approach designed to overcome these limitations by detecting all newly approved European LeukemiaNet molecular targets for measurable residual disease in acute myeloid leukemia in a single standardized assay. Iterative modifications and novel bioinformatics approaches resulted in a greater than 100-fold increase in performance compared with commercially available targeted RNA-sequencing approaches and a limit of detection as low as one leukemic cell in 100,000 cells measured, which is comparable to quantitative polymerase chain reaction analysis, the current gold standard for the detection of measurable residual disease. This assay, which can be customized and expanded, is the first demonstrated use of high-sensitivity RNA-sequencing for measurable residual disease detection in acute myeloid leukemia and could serve as a broadly applicable standardized tool.

Indexed as

Biomarkers, TumorHigh-Throughput Nucleotide SequencingCell Line, TumorFemaleHumansLeukemia, Myeloid, AcuteMiddle AgedNeoplasm, ResidualReproducibility of ResultsSequence Analysis, RNABiomarkers, Tumor

Identifiers

PMID30171026
PMCPMC6355494
OpenAlexW2889528664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.