Evidence map›Paper›PMID 31516189›Full record

ArticleTransactions of the American Clinical and Climatological Association2019

TARGETING LEUKEMIA STEM CELL RESISTANCE IN CHRONIC MYELOGENOUS LEUKEMIA.

Ravi Bhatia

Open access · greenAbstract read
In one paragraph

Article in Transactions of the American Clinical and Climatological Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Targeting Lysosomes for Enhanced Anti-Cancer Therapeutics and Immune Response.International journal of biological sciences · 2026
    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

1 author.

Ravi BhatiaBIRMINGHAM, ALABAMA.

Funding

Resistance of CML stem cells to STI571 (Gleevec)R01CA095684 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATIA, RAVI · 2003 to 2017
$4.6M
Microenvironmental Regulation of Leukemia Stem CellsR01CA172447 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATIA, RAVI · 2013 to 2023
$3.4M
Leukemia stem cell regulation and resistanceR01CA248794 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATIA, RAVI · 2021 to 2025
$2.1M
NCI NIH HHS R01 CA095684NCI NIH HHS R01 CA172447NCI NIH HHS R01 CA248794
6 · The paper itself

Abstract

A major limitation of current leukemia treatment is that most patients ultimately relapse. Leukemia cells show heterogeneous potential and response to treatment. We have shown that primitive leukemia stem cells (LSC) in chronic myelogenous leukemia resist elimination by treatment, and persist as a source of relapse. The bone marrow microenvironment (BMM) plays a critical role in of hematopoietic stem cell maintenance and regulation. There is increasing interest in the role of the BMM in promoting LSC maintenance, resistance to therapy, and ultimately disease relapse. Recent studies have shown that leukemia-induced changes in the BMM provide a competitive growth advantage to LSC, and support their preservation after treatment. We are studying mechanisms of niche regulation of LSC to guide development of novel approaches to target LSC and enhance cures.

Indexed as

ApoptosisBone MarrowCell ProliferationCytokinesDrug Resistance, NeoplasmFusion Proteins, bcr-ablHematopoietic Stem CellsHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveNeoplasm Recurrence, LocalNeoplastic Stem CellsProtein Kinase InhibitorsRemission InductionStem Cell NicheTumor MicroenvironmentCytokinesFusion Proteins, bcr-ablProtein Kinase Inhibitors

Identifiers

PMID31516189
PMCPMC6736008
OpenAlexW2982811355

What OpenQuestion holds

Textmetadata
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.