Evidence map›Paper›PMID 35402804›Full record

ArticleBlood science (Baltimore, Md.)2019

Tumor heterogeneity of acute myeloid leukemia: insights from single-cell sequencing.

AiLi Chen, ShaoYan Hu, Qian-Fei Wang

Abstract read
In one paragraph

Article in Blood science (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. 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.

AiLi ChenCAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
ShaoYan HuDepartment of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, China.
Qian-Fei WangCAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual tumors comprise genetically and epigenetically heterogeneous subclones, each of which is presumably associated with a distinct function, such as self-renewal or drug sensitivity. The dissection of such intratumoral heterogeneity is crucial to understand how tumors evolve during disease progression and under the selection of therapeutic intervention. As a paradigm of cancer intratumoral heterogeneity and clonal evolution, acute myeloid leukemia (AML) has been shown to possess complex clonal architecture based on karyotype studies, as well as deep sequencing of mixed cellular populations using next-generation sequencing (NGS) technologies. The recent development of single-cell sequencing (SCS) methods provides a powerful tool to allow analysis of genomes, transcriptomes, proteomes, and epigenomes at an individual cell level. The technologies applied in AML have broadened our understanding of AML heterogeneity and provided new insights for the development of novel therapeutic strategies. In this review, we summarize the progress in the research of AML heterogeneity using SCS technology and discuss the limitations and future direction regarding how SCS can contribute to AML prognosis and treatment.

Indexed as

Acute myeloid leukemiaHeterogeneitySingle-cell sequencing

Identifiers

PMID35402804
PMCPMC8975104

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.