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Arginase and YKL-40, Effectors of Immunosuppressive Myeloid Cells, Are Over-Expressed In the Bone Marrow of Most Chronic Myelomonocytic Leukemia Patients, and Are Potential Prognostic Biomarkers In Myelodysplastic Syndrome

2010· article· en· W2554622256 on OpenAlexaff
Michael J. Rauh, Deeksha Mahendru, Roman M. Shapiro, Alden Chesney, David Good, Marciano D. Reis, Adam Lam, Gerald Krystal, Rena Buckstein, Richard A. Wells

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreTerry Fox Research InstituteUniversity of Toronto
Fundersnot available
KeywordsArginaseBone marrowCancer researchImmunologyMyeloidMyelodysplastic syndromesImmune systemCytokineMedicineBiologyArginine

Abstract

fetched live from OpenAlex

Abstract Abstract 1855 Introduction: Solid tumors commonly recruit and condition immature myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMΦs), which impair immune-surveillance and facilitate growth. Whether they play a pathogenic role in hematological malignancies is not known. Our previous studies in an MDS/CMML model (SHIP-/- mice) revealed MΦs that are skewed to an alternatively activated (M2) phenotype (reminiscent of TAMΦs), characterized by arginase 1 (Arg1)-mediated redirection of L-arginine metabolism away from cytotoxic NO and towards the production of healing intermediates, as well as over-expression of the Th2-skewing and anti-apoptotic chitinase-like protein, Ym1. Moreover, MDSCs are also increased in SHIP-/- mice, leading to T-cell suppression. We therefore hypothesized that MDSCs/M2-MΦs may be expanded in the BM of MDS and CMML patients and/or their properties hijacked by the malignant clones. Methods: With informed consent, BM mononuclear cells (MNCs) and plasma were obtained from 40 specimens in the Sunnybrook MDS Biobank (6 normals, 11 CMML-1, 1 CMML-2, 1 RARS, 2 del(5q), 6 RCMD, 2 RCMD-RS, 8 RAEB-1, and 3 RAEB-2) (20 at presentation; 20 at follow-up). BM plasma was subjected to YKL-40 ELISA and Quantibody (RayBiotech) cytokine array (bFGF, BMP6, IL-1α, IL-1β, IL-6, PDGF-BB, TGFβ1, TNFα, VEGF, and VEGF-R2). BM-MNC protein lysates were prepared and subjected to arginase enzymatic assay, and Arg1/YKL-40 Westerns. Micro-vessel density (MVD) was recorded as the concordant counts of two observers per mm2 of H&E BM biopsies. Surrogate MVD analysis was performed by automated CD31 immunohistochemistry (IHC) analysis (Vias, Ventana). Linear regression and unpaired, two-tailed t tests were performed with Prism (GraphPad) software. Results: Mean BM-MNC arginase activity (μg urea/h/μg protein, recorded as % of control mean) and BM plasma YKL-40 levels were significantly higher in CMML patients, as compared to controls (350 ± 69 % vs 100 ± 5 %, p = 0.022, and 300 ± 32 μg/L vs 150 ± 22 μg/L, p = 0.0033, respectively). Westerns confirmed intracellular Arg1/YKL-40 over-expression in CMML BM-MNCs. Heterogeneous Arg1/YKL-40 over-expression was observed in MDS patients, and was strongly associated with the lowest risk IPSS and WPSS MDS scoring categories (Figure 1) (CMML not included). Moreover, high Arg1, but not YKL-40, was able to further discriminate IPSS Low/Int1-risk patients with poor prognosis using the low-risk MD Anderson score (Figure 1). This low-risk MDS/high-Arg1/YKL-40 profile was confirmed by negative correlations with (poor-prognostic) MVD (Arg1: p = 0.049, YKL-40: p = 0.089) (similar trends with CD31), albeit in a seemingly paradoxical pro-angiogenic BM plasma milieu (trends to increased bFGF, PDGF-BB, VEGF, and VEGF-R2). These results were unexpected, given that Arg1/YKL-40 are normally thought to be pro-angiogenic, and were reminiscent of recent studies suggesting VEGF-mediated recruitment of suppressive myeloid cells may inhibit angiogenesis and tumor progression in some situations (Stockmann et al., Nature 456:814-8). Accordingly, MDS BM arginase activity was associated with a larger BM myeloid compartment (using > 60% as a cutoff; p = 0.042) and a striking linear correlation with peripheral blood (PB) neutrophil counts on the day of BM collection (p = 0.0003), likely reflecting BM and systemic expansion of suppressive myeloid populations. MDS BM-MNC Arg1/YKL-40 Westerns, stratified by PB neutrophil counts, confirmed these associations. Conclusions: 1) Arg1/YKL-40, effectors of MDSCs/M2-MΦs, are over-expressed in BM MNCs and plasma in most CMML patients, as predicted from SHIP-/- mouse studies. Perturbations in SHIP and associated pathways may warrant investigation in CMML. 2) Arg1/YKL-40 are over-expressed in low-risk MDS patients, as assessed using 3 prognostic scoring systems. Their immune-suppressive nature and pro-proliferative/anti-apoptotic effects may create a permissive environment for low-risk MDS clones. 3) The unexpected association of high Arg1/YKL-40 with a pro-angiogenic BM milieu and paradoxically low MVD, may be in keeping with the ability of MDSCs/M2-MΦs to inhibit angiogenesis under certain conditions. Understanding what regulates the “immune/angiogenic switch” to low suppressive myeloid/high MVD/high-risk MDS may have important future treatment implications. Disclosures: Krystal: Aquinox Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.184
Teacher spread0.181 · 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 designObservational
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
Published2010
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