Evidence map›Paper›PMID 32619516›Full record

ArticleCell stem cell2020

Rubbing Out Leukemia Stem Cells by Erasing the Eraser.

Yuanming Cheng, Hanzhi Luo, Michael G Kharas

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell stem cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. RNA modifications in hematological malignancies.International journal of hematology · 2023
    Review
  4. RNA Modifications in Hematologic Malignancies.Cancer treatment and research · 2023
    Article
  5. Review
  6. RNA mFrontiers in cell and developmental biology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yuanming ChengMolecular Pharmacology Program, Center for Cell Engineering, Center for Stem Cell Biology, Center for Experimental Therapeutics, Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Hanzhi LuoMolecular Pharmacology Program, Center for Cell Engineering, Center for Stem Cell Biology, Center for Experimental Therapeutics, Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Michael G KharasMolecular Pharmacology Program, Center for Cell Engineering, Center for Stem Cell Biology, Center for Experimental Therapeutics, Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: kharasm@mskcc.org.

Funding

Uncovering the role for MSI2 network in hematopoietic stem cellsR01DK101989 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI Michael Kharas, Vijay Ganesh Sankaran · 2014 to 2026
$6.2M
Characterizing the MSI2 network in leukemiaR01CA193842 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KHARAS, MICHAEL · 2015 to 2025
$4.1M
Molecular and genetic analysis of novel Slicer-dependent miRNA pathways in bloodR01HL135564 · NHLBI · SLOAN-KETTERING INST CAN RESEARCH · PI KHARAS, MICHAEL, LAI, ERIC C · 2017 to 2020
$2.9M
Defining the molecular basis controlling hematopoietic stem cell symmetric and asymmetric divisions -supplementK99DK128602 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI LUO, HANZHI · 2021 to 2023
$235k
NCI NIH HHS R01 CA193842NHLBI NIH HHS R01 HL135564NIDDK NIH HHS K99 DK128602NIDDK NIH HHS R01 DK101989
6 · The paper itself

Abstract

In this issue of Cell Stem Cell, Shen et al. (2020) and Wang et al. (2020) independently identify the essential function of m

Indexed as

Cell Self RenewalLeukemia, Myeloid, AcuteAlkB Homolog 5, RNA DemethylaseCarcinogenesisHumansStem CellsALKBH5 protein, humanAlkB Homolog 5, RNA Demethylase

Identifiers

PMID32619516
PMCPMC9310347

What OpenQuestion holds

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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.