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Record W2915022322 · doi:10.1182/blood-2018-99-111728

Genotypic Representation of Myelodysplastic/Myeloproliferative Neoplasms in Nrg, Nrg-3GS and Srg-W41 Mice with Transgenic Expression of Human Cytokines

2018· article· en· W2915022322 on OpenAlexaffabout
Hein Than, Naoto Nakamichi, Anthony D. Pomicter, John O'shea, Orlando Antelope, Thomas O’Hare, Connie J. Eaves, Michael W. Deininger

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsChronic myelomonocytic leukemiaJuvenile myelomonocytic leukemiaCancer researchLeukemiaBiologyMyelodysplastic syndromesBone marrowMyeloidCD34ImmunologyStem cellHaematopoiesisGenetics

Abstract

fetched live from OpenAlex

Abstract Myelodysplastic/myeloproliferative neoplasms (MDS/MPN) are complex clonal hematopoietic stem cell malignancies with overlapping dysplastic and proliferative features. Genomic analyses have charted the somatic mutation spectrum of MDS/MPN and revealed a major role for epigenetic dysregulation in their pathogenesis. No disease-modifying therapies are currently available, as progress has been hampered by a lack of genetically faithful in vivo model systems suitable for the preclinical development of new strategies. Yoshimi et al (Blood. 2017;130:397-407) recently showed that patients' chronic myelomonocytic leukemia (CMML) and juvenile myelomonocytic leukemia (JMML) cells transplanted into NOD/SCID-IL2Rγ-/-mice expressing human IL3, GM-CSF and SCF transgenes (NSG-3GS mice) produced xenografts that had mutations characteristic of the input cells. Since we had demonstrated a superior level of chimerism achieved from transplants of normal human CD34+cord blood cells in SirpaNOD/Rag1-/-/IL2rγc-/-/W41/41mice with c-KIT deficiency (with an otherwise mixed NOD-C57Bl/6 background - SRG-W41 mice) compared to conventional NSG or NRG hosts (Miller et al. Exp Hematol. 2017;48:41-49), it was of interest to explore their use as hosts of samples from patients with MDS/MPN: CMML, atypical chronic myeloid leukemia (aCML) and secondary acute myeloid leukemia (sAML) progressed from CMML or aCML. Heparinized blood or bone marrow samples were obtained from patients treated at Huntsman Cancer Institute after informed consent. Diagnoses included CMML (n=5), aCML (n=2), and sAML (n=2). Unseparated cells were shipped by overnight courier to Vancouver and CD34+cells isolated on the same day were injected intravenously into sub-lethally irradiated female NRG mice or SRG-W41 mice, or in some cases the same sex and strains also carrying the human 3GS transgenes (NRG-3GS or SRG-W41-3GS mice) in accordance with British Columbia Cancer Agency institutional guidelines. Occasionally when mice were not immediately available, or large numbers of cells were available, cells were viably cryopreserved and transplanted later after thawing. Mice were observed for up to 36 weeks after xenotransplantation with .05 to 1.1x106 human CD34+cells. Engraftment of human CD45+cells in xenografts was evaluated by immunophenotyping, and a median of 90% human chimerism (range: 1% - 95%) was achieved at the time of bone marrow harvest from xenografts. Variant allele frequencies (VAF) were determined in genomic DNA extracted from both the patient samples (CD34+cells) and matching fluorescence-activated cells (FACS)-sorted human CD45+cells (hCD45+cells) purified from xenografts (1-5 xenografts per patient sample). DNA samples were subjected to PCR amplification with extension primers and analyzed using a MALDI-TOF mass spectrometer (MassArray, Agena Bioscience, San Diego, CA). Each mutation call was assigned by the software based on the molecular weight of the extended primer. Analysis of hCD45+cells from eight xenograft samples so far demonstrated a strong correlation of VAF between the patient samples and hCD45+cells from xenografts, in both SRG-W41-3GS (R2=0.94, p<0.01) and NRG-3GS (R2=0.97, p<0.01) models (Figure 1). This tight correlation of VAF was illustrated in hCD45+cells from xenografts transplanted with CMML, aCML or sAML cells. The majority of mutations detected were those in epigenetic regulator genes, such as ASXL1, EZH2 and TET2. No significant difference in VAF was observed between CD34+and CD34- compartments within the hCD45+cells. Additional samples, including specimens from patients with the related myeloproliferative neoplasm, chronic neutrophilic leukemia (CNL) are being analyzed and will be presented. These findings demonstrate the utility of SRG-W41-3GS as well as NRG-3GS as receptive hosts of primary human MDS/MPN cells with genetic evidence of their growth in these mice closely recapitulating the mutational profiles of the transplanted cells. These new strains may facilitate the development of functional screening and pre-clinical testing of novel therapeutic strategies for a range of human MDS/MPN and related myeloid disorders. Disclosures Deininger: Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Blueprint: Consultancy.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.297
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
Published2018
Admission routes2
Has abstractyes

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