Evidence map›Paper›PMID 26897135›Full record

ReviewInternational journal of hematology2016

Cell intrinsic and extrinsic regulation of leukemia cell metabolism.

Yajian Jiang, Daisuke Nakada

Open access · bronzeAbstract readReview
In one paragraph

Review in International journal of hematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Insights Into Bone Marrow Niche Stability: An Adhesion and Metabolism Route.Frontiers in cell and developmental biology · 2021
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Metabolism as master of hematopoietic stem cell fate.International journal of hematology · 2019
    Review
  13. Review
  14. AMPK promotes the survival of colorectal cancer stem cells.Animal models and experimental medicine · 2018
    Article
  15. Article
  16. Review
  17. 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.

Yajian JiangDepartment of Molecular and Human Genetics, Program in Developmental Biology, Baylor College of Medicine, Houston, TX, 77030, USA.
Daisuke NakadaDepartment of Molecular and Human Genetics, Program in Developmental Biology, Baylor College of Medicine, Houston, TX, 77030, USA. nakada@bcm.edu.ORCID http://orcid.org/0000-0001-6010-7094
Baylor College of Medicine · US

Funding

METABOLIC REGULATION IN LEUKEMIA-INITIATING CELLSR01CA193235 · NCI · BAYLOR COLLEGE OF MEDICINE · PI NAKADA, DAISUKE · 2015 to 2024
$4.6M
NCI NIH HHS R01 CA193235
6 · The paper itself

Abstract

Metabolic homeostasis is a fundamental property of cells that becomes dysregulated in cancer to meet the altered, often heightened, demand for metabolism for increased growth and proliferation. Oncogenic mutations can directly change cellular metabolism in a cell-intrinsic manner, priming cells for malignancy. Additionally, cell-extrinsic cues from the microenvironment, such as hypoxia, nutrient availability, oxidative stress, and crosstalk from surrounding cells can also affect cancer cell metabolism, and produce metabolic heterogeneity within the tumor. Here, we highlight recent findings revealing the complexity and adaptability of leukemia cells to coordinate metabolism.

Indexed as

HomeostasisCell ProliferationCellular MicroenvironmentHumansLeukemiaAMPKCell intrinsicLeukemiaMetabolismMicroenvironment

Identifiers

PMID26897135
PMCPMC5949883
OpenAlexW2274386560

What OpenQuestion holds

Textmetadata
LicenceTDM
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.