Evidence map›Paper›PMID 34830976›Full record

ReviewCancers2021

Leukemia Stem Cells as a Potential Target to Achieve Therapy-Free Remission in Chronic Myeloid Leukemia.

Kyoko Ito, Keisuke Ito

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. LncRNAiScience · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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

2 authors at 1 institution in 1 country.

Kyoko ItoRuth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Keisuke ItoRuth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0002-6702-9735
Albert Einstein College of Medicine · US

Funding

The Roles of Lipid Metabolism in the Maintenance of Hematopoietic Stem CellsR01DK098263 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Keisuke Ito · 2013 to 2026
$5.2M
Dissecting the canonical and non-canonical functions of Tet2 in hematopoietic stem cells and hematologic disordersR01HL148852 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Meelad Dawlaty, Keisuke Ito · 2019 to 2026
$4.4M
Single cell approach to uncovering factors regulating HSC division symmetry in vivoR01DK115577 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ITO, KEISUKE, LIN, CHARLES P. · 2017 to 2021
$2.9M
NHLBI NIH HHS R01 HL148852NIDDK NIH HHS R01 DK098263NIDDK NIH HHS R01 DK115577NIH HHS R01HL148852, R01DK098263, R01DK115577
6 · The paper itself

Abstract

Leukemia stem cells (LSCs, also known as leukemia-initiating cells) not only drive leukemia initiation and progression, but also contribute to drug resistance and/or disease relapse. Therefore, eradication of every last LSC is critical for a patient's long-term cure. Chronic myeloid leukemia (CML) is a myeloproliferative disorder that arises from multipotent hematopoietic stem and progenitor cells. Tyrosine kinase inhibitors (TKIs) have dramatically improved long-term outcomes and quality of life for patients with CML in the chronic phase. Point mutations of the kinase domain of

Indexed as

chronic myeloid leukemialeukemia stem cellmetabolic regulationmicroenvironment

Identifiers

PMID34830976
PMCPMC8616035
OpenAlexW3215229489

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.