Evidence map›Paper›PMID 41857060›Full record

ArticleNPJ systems biology and applications2026

Overcoming vascular niche-mediated TKI resistance in acute myeloid leukemia through miR-126 inhibition.

Matthew Froid, Sergio Branciamore, Ziang Chen, David Frankhouser, Yu-Hsuan Fu, Jennifer Rangel Ambriz, Le Xuan Troung Nguyen, Jihyun Irizarry, Ya-Huei Kuo, Denis O'Meally and 4 more

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Matthew FroidDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. matthew.froid@moffitt.org.
Sergio BranciamoreDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Ziang ChenDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
David FrankhouserDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Yu-Hsuan FuDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Jennifer Rangel AmbrizDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Le Xuan Troung NguyenDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Jihyun IrizarryDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Ya-Huei KuoDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Denis O'MeallyDepartment of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Bin ZhangDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Guido MarcucciDepartment of Hematologic Malignancies Translational Science, Gehr Family Center for Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Russell Rockne *Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
David Basanta *Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. david@cancerevo.org.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
Information flow and state transitions at the system and multi-dimensional scales in leukemia progressionU01CA250046 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI KUO, YA-HUEI, MARCUCCI, GUIDO · 2020 to 2024
$3.6M
State-transition and leukemia potential dynamics to inform disease evolution and adaptive therapyU01CA293853 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI YA-HUEI KUO, GUIDO MARCUCCI · 2024 to 2026
$1.8M
An integrated mathematical modeling approach to define how the aging bone ecosystem drives multiple myeloma evolution and treatment responseR01CA290007 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI David Basanta Gutierrez, Conor C Lynch · 2025 to 2026
$1.2M
CCR NIH HHS U01CA250046NCI NIH HHS P30 CA033572NCI NIH HHS P30CA033572NCI NIH HHS R01CA290007NCI NIH HHS U01 CA250046NCI NIH HHS U01 CA293853
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a hematologic malignancy originating in the bone marrow and often progressing to extramedullary sites. Despite advances in molecularly targeted therapies and hematopoietic stem cell transplantation, clinical outcomes remain poor. Tyrosine kinase inhibitors (TKIs) provide benefit to a subset of AML patients harboring FLT3-ITD mutations; however, relapse and resistance remain common. These therapeutic failures are driven by both intrinsic properties of leukemic stem cells (LSCs)-a quiescent, self-renewing population-and extrinsic cues from the tumor microenvironment. We previously demonstrated that arteriolar endothelial cells (ECs) produce miR-126, which is transferred to LSCs, promoting quiescence, treatment resistance, and niche retention. During disease progression, TNF-α secreted by expanding blasts suppresses EC miR-126 production. Following TKI administration, blast reduction lowers TNF-ɑ levels, restoring EC miR-126 production, and this miR-126 expression enables LSCs to re-enter quiescence-thereby escaping therapy and facilitating relapse. To explore this dynamic, we developed an agent-based computational model of the AML bone marrow microenvironment, parameterized with in vitro and in vivo data. The model captures vascular niche remodeling and feedback between leukemic populations and endothelial signaling. Simulations reveal that LSC protection mediated by miR-126 can be disrupted by combining TKIs with miRisten, a miR-126 inhibitor. When administered on a defined schedule, this combination dismantles the protective niche and enhances LSC eradication. These findings underscore the therapeutic potential of targeting microenvironmental feedback to overcome resistance and prevent AML relapse.

Indexed as

Drug Resistance, NeoplasmLeukemia, Myeloid, AcuteMicroRNAsProtein Kinase InhibitorsAnimalsEndothelial CellsHumansMiceNeoplastic Stem CellsTumor MicroenvironmentTumor Necrosis Factor-alphaMicroRNAsMIRN126 microRNA, humanProtein Kinase InhibitorsTumor Necrosis Factor-alpha

Identifiers

PMID41857060
PMCPMC13004950

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.