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Record W2913642842 · doi:10.1182/blood-2018-99-119718

Differential Effects of Pathogenic and Non-Pathogenic Early-Life Exposures on Acute Lymphoblastic Leukemia Progression in Eμ-RET Mice

2018· article· en· W2913642842 on OpenAlexaff
Matthew Gynn, Mario Fidanza, Sumin Jo, Soren Gantt, Tobias R. Kollmann, Gregor S. D. Reid

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLeukemiaImmunologyMedicineChildhood leukemiaBiologyLymphoblastic Leukemia

Abstract

fetched live from OpenAlex

Abstract B cell precursor acute lymphoblastic leukemia (B-ALL), the most common cancer in children, is a multi-step disease that is initiated in utero; although B-ALL has an incidence peak at 3-5 years of age, the majority of these children have pre-leukemic cells detectable at birth. Notably, however, up to 5% of newborns have detectable leukemia-initiating genetic abnormalities in their blood, but most of these infants go on to live healthy lives. Identifying the mechanisms that inhibit or drive B-ALL progression has the potential to inform new therapeutic or preventative strategies. Infection has been identified as a potential leukemia progression modifier to explain the discordance between the number of children with pre-leukemia and the number who develop B-ALL. While epidemiological studies have identified the timing of infection as a critical variable, the mechanisms underlying this association remain unknown. The early incidence peak is dominated by the ETV6-RUNX1 translocation-positive and high hyperdiploid subgroups, which together account for ~50% of pediatric B-ALL cases. We have previously reported the ability of immune stimulation with infection-associated toll-like receptor agonists to reduce pre-leukemic cell burden and delay leukemia onset in Eμ-RET mice, in which hyperdiploid B-ALL is fully penetrant. Furthermore, exposure of Eμ-RET mice to mild infections with Listeria monocytogenes (Lm), Murine herpesvirus 68 (MHV) or Murine cytomegalovirus (MCMV) induces a profound, age-dependent depletion of pre-leukemia cells, with neonatal mice, but not adults, exhibiting reduced leukemia progression after infection. Here, we extend this work by evaluating the influence of Saccharomyces cerevisiae (Sc) on leukemia development, hypothesizing that exposures to non-pathogenic commensal organisms would induce a similar protective immune activity. Using our established methodology, Eμ-RET mice were exposed to pathogenic or non-pathogenic organisms at six days of age by intraperitoneal injection (Lm, MCMV, Sc) or intranasally (MHV), and evaluated for pre-leukemic cell burden eight days later. In contrast to the response to pathogens, exposure of neonates to Sc did not result in a reduction of pre-leukemic cell numbers, even after inoculation with significantly higher numbers of yeast particles. The depletion of pre-leukemia cells induced by infection with pathogenic organisms was dependent on the presence of both γδ T cells and NK cells, with the latter population exerting direct cytotoxicity against B-ALL cells. Consistent with a failure to induce pre-leukemia depletion, Sc exposure achieved significantly less activation of γδ T cells and did not activate NK cells at all in neonatal Eμ-RET mice. Overall, our results reveal the primacy of the γδ T/NK cell response axis for the depletion of pre-leukemic cells after early-life infection and thus identify a novel immune response pathway with the potential to prevent ALL progression in children. Furthermore, these data indicate that not all age-associated exposures are capable of driving an immune response that reduces the risk of leukemia, with the dietary commensal Saccharomyces cerevisiae failing to generate a protective response in neonatal mice. This study significantly enhances our mechanistic understanding of immune-mediated modification of B-ALL progression. 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)0.000
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.007
GPT teacher head0.264
Teacher spread0.257 · 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 routes1
Has abstractyes

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