Evidence map›Paper›PMID 32323795›Full record

ArticleOncology reports2020

Single‑cell RNA sequencing of t(8;21) acute myeloid leukemia for risk prediction.

Qian Xiong, Sai Huang, Yong-Hui Li, Na Lv, Chao Lv, Yi Ding, Wen-Wen Liu, Li-Li Wang, Yang Chen, Liang Sun and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

15 authors.

Qian Xiong *Department of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Sai Huang *Department of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Yong-Hui LiDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Na LvDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Chao LvDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Yi DingDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Wen-Wen LiuDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Li-Li WangDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Yang ChenSchool of Medicine, MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, P.R. China.
Liang SunSchool of Medicine, MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, P.R. China.
Yi ZhaoKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R. China.
Sheng-You LiaoKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R. China.
Michael Q ZhangSchool of Medicine, MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, P.R. China.
Bao-Li ZhuCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, P.R. China.
Li YuDepartment of Hematology and BMT Center, Chinese PLA General Hospital, Beijing 100853, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single‑cell RNA sequencing (scRNA‑seq) of bone marrow or peripheral blood samples from patients with acute myeloid leukemia (AML) enables the characterization of heterogeneous malignant cells. A total of 87 cells from two patients with t(8;21) AML were analyzed using scRNA‑seq. Clustering methods were used to separate leukemia cells into different sub‑populations, and the expression patterns of specific marker genes were used to annotate these populations. Among the 31 differentially expressed genes in the cells of a patient who relapsed after hematopoietic stem cell transplantation, 13 genes were identified to be associated with leukemia. Furthermore, three genes, namely AT‑rich interaction domain 2, lysine methyltransferase 2A and synaptotagmin binding cytoplasmic RNA interacting protein were validated as possible prognostic biomarkers using two bulk expression datasets. Taking advantage of scRNA‑seq, the results of the present study may provide clinicians with several possible biomarkers to predict the prognostic outcomes of t(8;21) AML.

Indexed as

Translocation, GeneticAdultAgedBiomarkers, TumorChromosomes, Human, Pair 21Chromosomes, Human, Pair 8FemaleGene Expression Regulation, LeukemicHeterogeneous-Nuclear RibonucleoproteinsHistone-Lysine N-MethyltransferaseHumansLeukemia, Myeloid, AcuteMiddle AgedMyeloid-Lymphoid Leukemia ProteinNeoplasm Recurrence, LocalPrognosisARID2 protein, humanBiomarkers, TumorHeterogeneous-Nuclear RibonucleoproteinsHistone-Lysine N-MethyltransferaseKMT2A protein, humanMyeloid-Lymphoid Leukemia ProteinSYNCRIP protein, humanTranscription Factorsacute myeloid leukemiaprognosissingle-cell RNA-sequencing

Identifiers

PMID32323795
PMCPMC7057921

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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.