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Abstract IA21: Stem cells play a role in human leukemia from origin to relapse

2020· article· en· W3095170121 on OpenAlexaff
John E. Dick

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBiologyLeukemiaStem cellCancer researchCancerCancer stem cellSomatic evolution in cancerImmunologyGenetics

Abstract

fetched live from OpenAlex

Abstract Individual cancer cells exhibit functional heterogeneity of many cancer hallmarks including the capacity for sustaining long-term clonal maintenance, a stemness property involving self-renewal. Our studies established that only rare AML cells possessed such leukemia stem cell (LSC) properties and that AML is a cellular hierarchy. LSC were found to be highly relevant to human disease as gene signatures specific to LSC were much more predictive of patient response to therapy and overall survival compared to the bulk non-LSC AML cells. We have now provided insights into how LSC develop during leukemogenesis. Through sequencing of purified populations of normal blood cells, AML cells, and xenografts from paired diagnosis/relapse AML samples, we tracked the full arc of leukemia development in humans: from the cell of origin (an HSC) that acquires the first genetic mutation; to pre-leukemic clonal expansion of HSC; the generation of genetically diverse LSC; and finally to the cellular origin of relapse (rare LSC subclones) within the diagnosis sample. Similar studies have been undertaken in B-ALL where relapse-fated subclones were found within the diagnosis sample before exposure to chemotherapy. These clones possess distinct epigenetic and metabolic properties that underlie their partially resistance to chemotherapy and they possess stemness signatures that drive their ability to regenerate relapse disease. These studies resulted in identification of novel therapeutic targets of relapse-fated subclones to begin envisioning approaches to eradicate relapse before it develops. Finally, the identification of clonally expanded pre-leukemic HSPC in the diagnosis blood sample of many AML samples predicted that it should be possible to identify individuals who are at risk for progressing to AML long before AML develops. We genotyped individuals from the general population who were enrolled in the large cohort (EPIC) who eventually developed AML and compared them to the enrollment sample of others who never progressed to AML. We have found a clear signature that is able to predict with high accuracy those individuals who have age related clonal hematopoiesis who progress to AML, almost 10 years prior to AML development. This is distinct from individuals who have benign clonal hematopoiesis who never progress. These new findings offer the potential for future intervention to permit AML prevention trials. Citation Format: John E. Dick. Stem cells play a role in human leukemia from origin to relapse [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr IA21.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.053
GPT teacher head0.357
Teacher spread0.304 · 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
Published2020
Admission routes1
Has abstractyes

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