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Competition In Engraftment of Normal Hematopoietic Stem Cells and Leukemic Stem Cells

2010· article· en· W2564044047 on OpenAlexaff
Gyeongsin Park, Michael Heuser, Tobias Berg, R. Keith Humphries

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsStem cellHaematopoiesisHoming (biology)Bone marrowTransplantationCancer researchImmunologyLeukemiaBiologyMedicineCell biologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 4836 Engraftment is a process including homing to bone marrow, implantation and proliferation. Implantation implies interactions with specialized microenvironments, niches, in which hematopoietic stem cells (HSCs) live and are regulated. Studies have demonstrated the possibility that leukemic stem cells (LSCs) interact with niches in a similar manner to HSCs. We investigated whether HSCs and LSCs compete with each other in their engraftment. We employed a mouse transplantation assay with unmanipulatated bone marrow cells (BMCs) as a source of normal HSCs and LSCs generated by transduction of BMCs with Meningioma 1 (MN1), a potent oncogene causing myeloid leukemia in mice. In irradiated recipients (750 cGy), cotransplantation of leukemic cells (1×105) with various numbers of BMCs (1×105, 1×106 and 1×107) demonstrated that the engraftment level of leukemic cells is influenced by BMCs in a dose dependant manner (5.2%, 41.3% and 82.2% at 2-weeks; 52.3%, 69.5% and 86.9% at 4weeks; mice died before the 5 weeks bleeding, 94.9% and 97.5% at 5weeks, respectively). Cotransplantation of various numbers of leukemic cells (1×104, 1×105 and 1×106) with a fixed number of BMCs (1×106) demonstrated a similar pattern of leukemic engraftment (7.0%, 59.5% and 87.1% at 2weeks; 62.0%, 85.7% at 4 weeks, and mice died before the four week bleeding, respectively). To further elucidate the competition between HSCs and LSCs, we transplanted the cells at different time intervals. Transplantation of normal BMCs (1×106) 2 days prior to transplantation of LSCs (1×105) resulted in much reduced levels of leukemic engraftment compared to that seen in mice simultaneously transplanted (3.5% vs 59.5% at 2 weeks; 73.1% vs 85.76% at 4weeks). This competitive suppression of leukemic engraftment was further enhanced by transplanting larger numbers of normal BMCs (2×107) as little as 12 hours prior LSC transplantation (5×105) compared to simultaneous injection (0% vs 7.26% at 2weeks, 0.9% vs 35.3% at 3 weeks, and 6.0% vs 60.6% at 4 weeks). When BMCs (1×105) or leukemic cells (1×105) were transplanted at equal doses of 1×105 together with normal helper cells (1×106) the leukemic cells expanded 280-fold compared to only 7.3 fold for normal BMCs at 2 weeks (total cell count from two femurs and two tibias per 1×105 transplanted cells). Thus the competitive suppression of leukemic cell growth seen upon sequential transplantation of normal BMCs is not readily explained by enhanced kinetics of normal BMC growth but rather by competition at the level of initial engraftment. In conclusion, our data demonstrate that there is a competition between normal and leukemic cells during the engraftment process, suggesting niche competition of HSCs and LSCs. 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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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
Published2010
Admission routes1
Has abstractyes

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