Evidence map›Paper›PMID 31449347›Full record

ArticleJournal of cellular and molecular medicine2019

Identification of predictive genetic signatures of Cytarabine responsiveness using a 3D acute myeloid leukaemia model.

Haiyan Xu, Eric S Muise, Sarah Javaid, Lan Chen, Razvan Cristescu, My Sam Mansueto, Nicole Follmer, Jennifer Cho, Kimberley Kerr, Rachel Altura and 5 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Haiyan XuDepartment of Pharmacology, Merck & Co., Inc., Boston, MA, USA.ORCID 0000-0002-6235-0546
Eric S MuiseDepartment of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA.
Sarah JavaidDepartment of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA.
Lan ChenDepartment of Strategic Planning & Research Informatics, Merck & Co., Inc., Beijing, China.
Razvan CristescuDepartment of Precision Oncology Biomarkers, Merck & Co., Inc., Boston, MA, USA.
My Sam MansuetoDepartment of Pharmacology, Merck & Co., Inc., Boston, MA, USA.
Nicole FollmerDepartment of Oncology Early Discovery, Merck & Co., Inc., Boston, MA, USA.
Jennifer ChoDepartment of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA.
Kimberley KerrDepartment of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA.
Rachel AlturaDepartment of Oncology Early Development, Merck & Co., Inc., Rahway, NJ, USA.
Michelle MachacekDepartment of Discovery Chemistry, Merck & Co., Inc., Boston, MA, USA.
Benjamin NicholsonDepartment of Oncology Early Discovery, Merck & Co., Inc., Boston, MA, USA.
George AddonaDepartment of Pharmacology, Merck & Co., Inc., Boston, MA, USA.
Ilona KarivDepartment of Pharmacology, Merck & Co., Inc., Boston, MA, USA.
Hongmin ChenDepartment of Pharmacology, Merck & Co., Inc., Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the establishment of a bone marrow mononuclear cell (BMMC) 3D culture model and the application of this model to define sensitivity and resistance biomarkers of acute myeloid leukaemia (AML) patient bone marrow samples in response to Cytarabine (Ara-C) treatment. By mimicking physiological bone marrow microenvironment, the growth conditions were optimized by using frozen BMMCs derived from healthy donors. Healthy BMMCs are capable of differentiating into major hematopoietic lineages and various types of stromal cells in this platform. Cryopreserved BMMC samples from 49 AML patients were characterized for ex vivo growth and sensitivity to Ara-C. RNA sequencing was performed for 3D and 2D cultures to determine differential gene expression patterns. Specific genetic mutations and/or gene expression signatures associated with the ability of the ex vivo expansion and response to Ara-C were elucidated by whole-exome and RNA sequencing. Data analysis identified unique gene expression signatures and novel genetic mutations associated with sensitivity to Ara-C treatment of proliferating AML specimens and can be used as predictive therapeutic biomarkers to determine the optimal treatment regimens. Furthermore, these data demonstrate the translational value of this ex vivo platform which should be widely applicable to evaluate other therapies in AML.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overBone Marrow CellsCell Line, TumorCytarabineFemaleGene Expression Regulation, LeukemicHumansInhibitory Concentration 50Leukemia, Myeloid, AcuteMaleMiddle AgedMutationOncogene Proteins, FusionCytarabineOncogene Proteins, Fusion3D cultureacute myeloid leukaemiagene fusionRNASeqwhole-exome sequencing

Identifiers

PMID31449347
PMCPMC6787505

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Registered trials

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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.