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Record W4405040531 · doi:10.1182/blood-2024-209501

The Immune Inhibitory Hematopoietic Adaptor Protein Hacs1(Sly2) Suppresses the Proinflammatory Macrophage Function Contributing to Multiple Myeloma Progression

2024· article· en· W4405040531 on OpenAlexaff
Ding Yan Wang, Min Liu, Jamie Li, Rui Qu, Yuan Gao, Leqi Shen, Jingdong Wu, Xiaoyuan Liu, Dong Xu, Cecília Bonolo de Campos, Jinyi Zhang, Anthony O. Gramolini, Katherine A. Siminovitch, Xiao‐Yan Wen, A. Keith Stewart

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsMount Sinai HospitalPrincess Margaret Cancer CentreUniversity of TorontoDiscovery CentreUniversity Health Network
Fundersnot available
KeywordsProinflammatory cytokineMultiple myelomaSignal transducing adaptor proteinImmune systemImmunologyHaematopoiesisMacrophageCancer researchMedicineBiologyInflammationSignal transductionCell biologyStem cellIn vitro

Abstract

fetched live from OpenAlex

Introduction: Hematopoietic Adaptor-Containing SH3 and SAM domains (Hacs1) is an immune-inhibitory regulator of B and dendritic cell function. Loss of Hacs1 results in a cytokine hypersensitive immune microenvironment and experimentally promotes tumor development. Loss of Hacs1 is also implicated in the development of multiple myeloma (MM) in the 5TMM1/C57L/KaLwRij murine model, and thus acts as a MM suppressor. However, the detailed mechanism of action of Hacs1 in regulating tumor development or growth remains unexplored. In addition to B and dendritic cells immune activation is also provided by tumor associate macrophages (TAMs). Here we describe the role of Hacs1 in the generation of TAMs which then contribute to inflammation and have a tumor promoting phenotype, including in multiple myeloma (MM). Methods: We generated Hacs1-/- mice in C57 as well as a NOD SCID genetic background, and herein characterize the effect on bone marrow-derived macrophages (BMDM) and consequent MM growth and therapeutic resistance. Results: Hacs1-/- BMDMs are hyper responsive to IL-4 stimulation and display an alternative activation M2 phenotype. In addition, CD11b+/Gr-1+/ CD31+/Siglec F myeloid progenitors as well as immature myeloid progenitors and eosinophils were significantly increased in Hacs1-/- mouse bone marrow. Hacs1-/- generated TAMs prolonged survival and enhanced the growth of MM cells in vitro through both contact-mediated and non-contact mediated mechanism, leading to up-regulation of Bcl-XL, Mcl-1 expression and increased resistance to melphalan, bortezomib and venetoclax in both mouse and human MM cell lines. Adoptive transfer of Hacs1-/- TAMs accelerated both 5TGM (mouse MM) and U266 (human MM) cell growth in vivo. Further analysis suggests that the function of Hacs1 on tumor-polarized macrophages may be mediated by modulation of NF-kB and Stat3 activation. As Hacs1-/- BMDMs encountered MM cells, activation of Hck, nuclear factor kappa B(NF-kB), PI3K-Akt, and IL6/Stat3 was observed, leading to increased production of survival and proinflammatory cytokines in Hacs1-/- BMDM M2 macrophages. Conclusion: Hacs1 appears to regulate MM development and anti-apoptotic chemotherapeutic resistance through up-regulation of myeloid cell proliferation and skewed development towards M2 macrophage differentiation. Hacs1 absence accomplishes this in part through regulation of the signal transducer NF-kB, SHP2 and Hck, leading to Stat3 activation. These findings support the role of Hacs1 as a regulator of the pro-myeloma inflammatory capabilities of tumor associated macrophages. Maintenance, or up-regulation of HACS1 expression in the bone marrow microenvironment and specifically in antigen presenting cell types (Dendritic, B and macrophage) could then potentially be considered a means of MM control. Keywords: Hacs1-/-, Multiple Myeloma, macrophages, bone marrow microenvironment, chemo resistance

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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
Published2024
Admission routes1
Has abstractyes

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