Evidence map›Paper›PMID 35926108›Full record

ReviewBlood2023

Single-cell genomics in AML: extending the frontiers of AML research.

Asiri Ediriwickrema, Andrew J Gentles, Ravindra Majeti

Open access · greenAbstract readReview
In one paragraph

Review in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 71 citations in OpenAlex.

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  14. CAR-T cell therapy for cancer: current challenges and future directions.Signal transduction and targeted therapy · 2025
    Review
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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

3 authors at 2 institutions in 1 country.

Asiri EdiriwickremaDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-6480-8290
Andrew J GentlesDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-0941-9858
Ravindra MajetiDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-5814-0984
California Institute for Regenerative Medicine · USStanford University · US

Funding

Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
Spatial-Genomic Integrative Multi-Species Analysis of Lymph Node MetastasisU54CA209971 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P, PLEVRITIS, SYLVIA KATINA · 2016 to 2021
$11.0M
Deciphering the Glycan Code in Human Alzheimer’s Disease BrainR01AG078702 · NIA · UNIVERSITY OF KENTUCKY · PI Peggi M Angel, Sean Curtis Bendall · 2022 to 2026
$3.8M
Human Acute Myeloid Leukemia Stem CellsR01CA251331 · NCI · STANFORD UNIVERSITY · PI MAJETI, RAVINDRA · 2020 to 2024
$1.8M
Epigenetic, Transcriptional, and Microenvironmental Determinants of Human HSC Self-RenewalR01HL142637 · NHLBI · STANFORD UNIVERSITY · PI MAJETI, RAVINDRA · 2018 to 2021
$1.6M
The prognostic landscape of gender- and ethnicity-specific immune influences on cancer outcomesR21CA238971 · NCI · STANFORD UNIVERSITY · PI GENTLES, ANDREW J. · 2019 to 2020
$374k
Single cell characterization of human acute myeloid leukemiaF32CA250304 · NCI · STANFORD UNIVERSITY · PI EDIRIWICKREMA, ASIRI · 2020 to 2022
$254k
NCI NIH HHS F32 CA250304NCI NIH HHS R01 CA251331NCI NIH HHS R21 CA238971NCI NIH HHS U24 CA224309NCI NIH HHS U54 CA209971NHLBI NIH HHS R01 HL142637NIA NIH HHS R01 AG078702
6 · The paper itself

Abstract

The era of genomic medicine has allowed acute myeloid leukemia (AML) researchers to improve disease characterization, optimize risk-stratification systems, and develop new treatments. Although there has been significant progress, AML remains a lethal cancer because of its remarkably complex and plastic cellular architecture. This degree of heterogeneity continues to pose a major challenge, because it limits the ability to identify and therefore eradicate the cells responsible for leukemogenesis and treatment failure. In recent years, the field of single-cell genomics has led to unprecedented strides in the ability to characterize cellular heterogeneity, and it holds promise for the study of AML. In this review, we highlight advancements in single-cell technologies, outline important shortcomings in our understanding of AML biology and clinical management, and discuss how single-cell genomics can address these shortcomings as well as provide unique opportunities in basic and translational AML research.

Indexed as

Leukemia, Myeloid, AcuteGenomicsHumansTranslational Research, Biomedical

Identifiers

PMID35926108
PMCPMC10082362
OpenAlexW4289785475

What OpenQuestion holds

Textmetadata
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.