ArticleSeminars in hematology2014
Sequencing the AML genome, transcriptome, and epigenome.
Article in Seminars in hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Beyond the DNA sequence: mapping the dynamic epigenetic landscape for risk stratification and therapeutic intervention in acute myeloid leukemia.Clinical and experimental medicine · 2025Review
- Advances in DNA/RNA Sequencing and Their Applications in Acute Myeloid Leukemia (AML).International journal of molecular sciences · 2024Review
- Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping.American journal of human genetics · 2021Article
- What Have We Learned from Molecular Biology of Paragangliomas and Pheochromocytomas?Endocrine pathology · 2021Review
- Application of Next Generation Sequencing in Laboratory Medicine.Annals of laboratory medicine · 2021Review
- CD300f epitopes are specific targets for acute myeloid leukemia with monocytic differentiation.Molecular oncology · 2019Article
- Transcriptome comparison identifies potential biomarkers of spine and skull base chordomas.Virchows Archiv : an international journal of pathology · 2018Article
- Clinical Syndromes and Genetic Screening Strategies of Pheochromocytoma and Paraganglioma.Journal of kidney cancer and VHL · 2018Review
- DNA sequencing technologies: 2006-2016.Nature protocols · 2017Review
- Article
- Whole-transcriptome analysis of chordoma of the skull base.Virchows Archiv : an international journal of pathology · 2016Article
- Class III Receptor Tyrosine Kinases in Acute Leukemia - Biological Functions and Modern Laboratory Analysis.Biomarker insights · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Leukemia is a disease that develops as a result of changes in the genomes of hematopoietic cells, a fact first appreciated by microscopic examination of the bone marrow cell chromosomes of affected patients. These studies revealed that specific subtypes of leukemia diagnoses correlated with specific chromosomal abnormalities, such as the t(15;17) of acute promyelocytic leukemia and the t(9;22) of chronic myeloid leukemia. Over time, our genomic characterization of hematologic malignancies has moved beyond the resolution of the microscope to that of individual nucleotides in the analysis of whole-genome sequencing (WGS) data using state-of-the-art massively parallel sequencing (MPS) instruments and algorithmic analyses of the resulting data. In addition to studying the genomic sequence alterations that occur in patients' genomes, these same instruments can decode the methylation landscape of the leukemia genome and the resulting RNA expression landscape of the leukemia transcriptome. Broad correlative analyses can then integrate these 3 data types to better inform researchers and clinicians about the biology of individual acute myeloid leukemia (AML) cases, facilitating improvements in care and prognosis.
Indexed as
Identifiers
What OpenQuestion holds
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.