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A High-Throughput Screen to Identify Compounds Preserving Primary Human AML Stem Cells Ex-Vivo,

2011· article· en· W2548302270 on OpenAlexaff
Caroline Pabst, Josée Hébert, Guy Sauvageau

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsEx vivoStem cellLeukemiaBiologyCD34Myeloid leukemiaMyeloidPopulationCancer researchCancer stem cellFlow cytometryImmunologyIn vivoCell biologyMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 3587 Acute myeloid leukemia (AML) is the second most frequent leukemia in adults with still high relapse rates supposed to be due to a rare population of leukemia stem cells (LSC) within the leukemic bulk not responding to conventional anti-cancer drugs. Engraftment of human leukemic cells in immunocompromised mice mimicking the human disease is considered to prove the existence of stem cells in the sample; however, the engraftment potential of primary human AML cells is usually quickly lost upon ex-vivo culture indicating that LSC have undergone differentiation or apoptosis and thus lost their stem cell properties. This lack of appropriate culture conditions enabling ex-vivo maintenance of primary human LSC is a major obstacle in the development of LSC targeted therapies. Our aim is, therefore, to identify conditions which allow the maintenance and expansion of these rare cells ex-vivo to understand their unique properties and to further elucidate cellular pathways underlying the self-renewal program of human primary LSC. We established a flow cytometry based high-throughput screen in which we tested more than 6,000 selected compounds with regards to their potential to expand primary human AML cells while preserving their phenotypic and functional characteristics. We considered alteration of surface marker expression, i.e. loss of CD34 and acquisition of markers of myeloid maturation initially not expressed on the cells, as indicator of differentiation implicating at the same time a loss of stem cells in the culture. We hypothesized that compounds that would be able to prevent these alterations in surface marker expression could have the potential to promote self-renewal of primary human LSC ex vivo. A normal-karyotype AML representing the most frequent cytogenetic group of AML in adults with FAB M1 morphology was chosen to perform the screen. Moreover, the initial CD34+CD15- phenotype allowed us to monitor changes in surface marker expression. Cells were plated in 384 well plates with a density of 5,000 cells per well. 6,160 compounds were tested with and without an inhibitor to aryl hydrocarbon receptor (AhR) and the vehicle DMSO was used as negative control resulting in a final DMSO concentration of ∼0.1% in each well, which had been proven to be not toxic to the cells. After 5 days of incubation the cells were analyzed on a BD LSRII high-throughput flow cytometer with regards to CD34 and CD15 surface expression. Compounds showing an increase of ≥45% of CD34+ and CD34+CD15- cells over DMSO compared to the AhR antagonist were selected for further evaluation. In a secondary screen we retested 32 compounds in 5 different concentrations ranging from 1:34 to 3x based on the initial screen concentration after 5 and 9 days of incubation and confirmed an increase ≥50% of relative and absolute CD34+CD15- leukemic cells after 5 days for 13 compounds and after 9 days for 7 compounds. We have initiated functional in-vitro and in-vivo experiments to validate these results and to prove the existence of LSC in cultures where compounds have been added. The ability of the newly identified compounds to preserve human LSC ex-vivo will be further evaluated using a collection of primary AML samples comprising different morphological and cytogenetic groups. Together, our observations document the feasibility of finding anti-differentiation (pro-self-renewal?) compounds of primary human AML cells that can be expanded ex-vivo. These studies represent a first key step in the identification of specific LSC targeting compounds. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.311
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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