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Abstract A51: Early-life infection delays B cell precursor leukemia onset in Eu-Ret mice via an IL-23-dependent depletion of leukemia-initiating cells

2017· article· en· W2593211024 on OpenAlexaff
Mario Fidanza, Sheka Yagub Aloyouni, Se-Hyun Cho, Alix E. Seif, Soren Gantt, Tobias R. Kollmann, Gregor S. D. Reid

Bibliographic record

VenueCancer Immunology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsLeukemiaMedicineImmunologyEpidemiologyPopulationDiseaseIn uteroInternal medicineCancer researchBiologyPregnancyFetus

Abstract

fetched live from OpenAlex

Abstract An influence of infection on the development of pediatric acute lymphoblastic leukemia (ALL) is supported by epidemiological studies that have uncovered associations between infection history and ALL risk. However, these studies have produced discordant results, with both reduced and increased risk having been reported, and a mechanistic explanation remains elusive. Back-tracking studies have demonstrated that the development of ALL depends upon the long-term survival and evolution of an abnormal leukemia-initiating cell (LIC) population that arises in utero. However, the occurrence of detectable LICs at birth is significantly greater than the incidence of leukemia, suggesting that events during the pre-leukemic phase may influence disease progression by altering the fate of these cells. In this study, we use the B cell precursor (BCP) leukemia-prone Emu-RET transgenic mouse to investigate whether infection exposure is capable of altering disease progression via changes in LIC survival. Epidemiological studies have associated low grade, sub-clinical infections with reduced ALL risk, while more severe infections are associated with increased risk. To mimic a sub-clinical infection, we exposed Emu-RET mice to an ActA-/- attenuated strain of Listeria monocytogenes (Lm) prior to leukemia onset. Infection resulted in a significant depletion of LICs in spleen and bone marrow (p<0.0001) and delayed disease onset by approximately fifty days (p<0.0001). The timing of infection has been identified as a critical variable in epidemiological studies assessing ALL risk. To evaluate whether timing was a factor in our model, we administered Lm to either neonatal (Day 6) or adult (Day 34) Emu-RET mice and measured LIC numbers. Only infections at the early time point were capable of depleting the LIC population (D6 depletion: p<0.0001; D34 depletion: p=0.4371 ). This time dependence was maintained when infection dose was normalized based on the weight of recipient mice. Importantly, given that no single infectious agent has been identified in the ALL epidemiological studies, we observed a similar age-dependent response pattern following nasal infection with live non-attenuated Murine gamma-herpesvirus (MHV)-68. An inherent deficit in IL-12p35 production in neonates leads to a skewing of the early-life immune system towards IL-23-driven Th17 responses in both mice and humans. Considering this age-related immune difference and reports of IL-23 as an anti-leukemic factor, we hypothesized that IL-23 and its downstream effectors mediate the infection-dependent LIC depletion. Using targeted blocking-antibodies, we found that both Lm and MHV-68 infection-associated depletion of LICs was entirely dependent on IL-12p40 (p<0.0001). IL-12p75 is not required for this depletion (p=0.889), confirming the role of IL-23 as a critical factor required for the early-life depletion of LICs. Overall, this study provides the first mechanistic explanation for the epidemiological link between early-life infections and reduced risk of pediatric ALL by demonstrating that low-grade infections administered during a brief neonatal period cause depletion of the in utero-derived LIC population. Citation Format: Mario Fidanza, Sheka Y. Aloyouni, Sehyun Cho, Alix E. Seif, Soren Gantt, Tobias R. Kollmann, Gregor SD Reid. Early-life infection delays B cell precursor leukemia onset in Eu-Ret mice via an IL-23-dependent depletion of leukemia-initiating cells. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2016 Oct 20-23; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2017;5(3 Suppl):Abstract nr A51.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.374
Teacher spread0.315 · 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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

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