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Development of a Clinically Relevant in Vitro Drug Screening Platform for Chemo-Refractory AML Patients

2014· article· en· W2979878225 on OpenAlexaff
Stephen Sze Yuen Lam, Chae Yin Cher, Nelson K.L. Ng, Eric S.K. Ho, Cheuk Him Man, Howard C.H. Chow, Connie J. Eaves, Alice Ms Cheung, Anskar Y.H. Leung

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicinePharmacologyBortezomibHomoharringtonineOncologyMyeloid leukemiaCytarabineProteasome inhibitorInternal medicinePanobinostatIdarubicinCancer researchMultiple myelomaBiologyHistone deacetylase

Abstract

fetched live from OpenAlex

Abstract Acute myeloid leukaemia (AML) is a heterogeneous group of diseases with distinct clinicopathologic, cytogenetic and genetic characteristics. The heterogeneity has made unified and regimental approach unsuccessful for most patients, and outcome with standard chemotherapy and allogeneic haematopoietic stem cell transplantation (HSCT) was unsatisfactory with an overall cure rate of 30-40%. We hypothesised that an optimised in vitro drug screening platform for primary AML samples might help to identify the best personalised therapeutic agents for AML patients from whom the samples were obtained at real time. Primary mononuclear cells isolated from peripheral blood (PB) or bone marrow (BM) of AML patients at different stages of disease were seeded onto 96-well plates and treated with a panel of 25 selected drugs at 1000-fold concentration range for 3 days. The drugs included 17 tyrosine kinase inhibitors: axitinib, crizotinib, pazopanib, erlotinib, gefitinib, lapatinib, vandetanib, vemurafenib, sorafenib, quizartinib, ponatinib, lestaurtinib, nilotinib, dasatinib, ruxolitinib, TG101209, tofacitinib; 2 differentiation agents: arsenic trioxide, all-trans retinoic acid; a protein translation inhibitor: homoharringtonine; a proteasome inhibitor: bortezomib; a chemotherapy: cytarabine; a histone deacetylase inhibitor: vorinostat; a DNA methyltransferase inhibitor: azacitidine; and an mTOR inhibitor: rapamycin. The blast percentage in each sample was above 50% as confirmed by film review of the cytospin preparation. The inhibitory effect of each drug was evaluated by a high throughput PrestoBlue® fluorometric assay that was a measure of viable cell number. The results were expressed with reference to the vehicle control (0.1% DMSO) for each sample. There was significant cell death when primary AML cells were cultured in IMDM medium supplemented with 10% FBS (IMDM10) for 3 days (Annexin V+ cells: 53.8% ± 4.5% , n=33). To identify the optimal culture condition, multiple culture conditions were tested for each sample (n=53 samples). The 3-day post-culture survival of primary AML cells improved significantly in a 1:1 mix of IMDM10 and medium conditioned by a mixture of mouse fibroblast lines engineered to produce human G-CSF, SCF, IL-3 and Flt3L (50%CM) (47.1% ± 6.5% improvement in Annexin V/7AAD -/- cell count normalised to day 0 input compared to IMDM10, p<0.0001). Assay readout was highly reproducible between replicates of the same samples (r=0.9681). There was significant correlation in drug response between PB and BM myeloblasts (r=0.9356, p<0.0001, 16 pairs), supporting the feasibility of drug screen based on PB samples. The readout might be predictive of clinical drug response in patients, as exemplified by the superior in vitro response to sorafenib in FLT3-ITD+ than FLT3 wild type AML samples (p<0.01 at 1 and 10 µM Sorafenib) that corroborated with the clinical observation for these patients treated with sorafenib. Furthermore, sorafenib-naïve FLT3-ITD+ AML samples were more sensitive to sorafenib in vitro than the resistant samples collected from the same patients during subsequent leukaemia progression. To identify personalised agents effective for individual patients, a total of 85 samples from 60 AML patients were screened in 50%CM. Axitinib and vemurafenib had minimal cytotoxic effect on all samples whereas bortezomib, ponatinib, lestaurtinib, homoharringtonine and vorinostat exhibited significant anti-leukaemia effect (>75%) to over 90% samples at concentrations around or below the peak plasma concentrations in respective pharmacokinetic studies. The remaining 18 drugs exhibited variable effects on different samples. Further experiments and analyses are underway to identify distinct combinations and correlate with in vivo efficacy in xenotransplantation mouse model. This optimised and clinically relevant in vitro drug screening platform might provide the laboratory basis for the selection of personalised treatment regime for AML patients with a short turnover time. 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)0.001
metaresearch head score (Gemma)0.001
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.028
GPT teacher head0.306
Teacher spread0.278 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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