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Point: AML Stem Cells are Immature, Rare, and Targets for Curative Therapy in AML.

2009· article· en· W2554537892 on OpenAlexaff
John E. Dick

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsStem cellHaematopoiesisLeukemiaclone (Java method)BiologyCancer stem cellProgenitor cellCancer researchHomogeneousMitosisImmunologyCell biologyGeneticsDNA

Abstract

fetched live from OpenAlex

Abstract Abstract SCI-34 The cellular and molecular basis for the heterogeneity that exists within the individual cells that make up a tumour is not well understood. There is clear evidence from the historical literature of human experimentation, the vast majority of leukemia blasts are post-mitotic and generated from a rapidly proliferating fraction of <5% of total leukemic blasts. These same studies also established that a rare subfraction of blasts were quiescent and only entered cell cycle in the order of weeks or months. The cancer stem cell (CSC) model postulates that such heterogeneity arises because the tumour is organized as a cellular hierarchy sustained by a CSC at the apex. If a tumour is homogeneous the CSC model would not apply. By employing the principles of stem cell biology, first worked out in hematopoiesis, of clonal assays and prospective cell purification, there is solid evidence that human AML follows a CSC model. LSCs are the only AML cells capable of self-renewal while still generating rapidly proliferating progenitors and terminal leukemic blasts. Our studies have also demonstrated that LSCs are not functionally homogeneous but, like the normal hematopoietic stem cell (HSC) compartment, comprised of distinct hierarchically arranged LSC classes. Distinct LSC fates derive from heterogeneous self-renewal potential. Finally, many LSC appear to be quiescent. Thus, the AML clone is organized as a hierarchy that originates from LSC, which produce AML-CFU and leukemic blasts. AML is organized as a cellular hierarchy sustained by LSCs at their apex. The rare occurrence, generally dormant nature, and abnormal apoptotic response of LSCs are all properties that may render them resistant to conventional chemotherapeutics that target proliferating cells. In addition, minimal residual disease occurrence and poor survival have been attributed to high LSC frequency at time of diagnosis in AML patients. Although there are a number of well known problems with xenotransplant assays, recent improvements to this model have been employed to assess both the frequency of LSC in a cross section of AML samples as well as the nature of the cell surface phenotype of the LSC. Collectively this research has shown that the LSC frequency can vary over many orders of magnitude from 1% to <1 per 106, with some genetic AML subtypes such as MLL leukemias possessing the highest LSC frequency. Thus even with the most optimized assay system they represent a rare subfraction of AML blasts for most forms of leukemia. The properties of AML-LSC make them especially resistant to standard cytoablative therapeutics, so LSC-targeted therapies are clearly needed to improve long term survival for this dismal disease. A number of new therapeutics are being developed and evaluated in the xenotransplant assays and several are now moving into clinical trial. With translation of lab-based research into the clinic, the next several years will begin to provide definitive answers to the most vexing question the continues to surround the whole field of cancer stem cells: while the importance of CSC are clearly seen in numerous xenotransplant models of leukemic and solid tumours, how relevant are they in the human disease? Dick JE. Stem cell concepts renew cancer research. Blood 2008;112:4793-807. Disclosures Dick: Roche: Research Funding; CSL Ltd: Research Funding.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.069

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.006

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 head0.286
Teacher spread0.267 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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