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Record W4379984540 · doi:10.1158/1538-7445.am2023-333

Abstract 333: Interleukin 23 receptor is a critical regulator of the mitotic spindle and necessary for AML viability

2023· article· en· W4379984540 on OpenAlexaff
Nathan Duong, Dilshad H. Khan, Geethu Emily Thomas, Rose Hurren, Jong Bok Lee, Jonathan St‐Germain, Lily Drimmer, Yongran Yan, Neil MacLean, Marcela Gronda, Brandon D. Brown, Brian Raught, Andrea Arruda, Hong Chang, Mark D. Minden, Li Zhang, Steven M. Kornblau, Vito Spadavecchio, Aaron D. Schimmer

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsCell biologyMitosisBiologyFlow cytometryIntracellularRegulatorCentrosomeMolecular biologyCellCell cycleBiochemistry

Abstract

fetched live from OpenAlex

Abstract Classically, the interleukin-23 receptor (IL-23R) is expressed on the surface of T cells where activation by its ligand, interleukin-23 (IL-23) leads to T cell activation through the JAK/STAT pathway. Here, we identify a novel localization and function for IL-23R in which intracellular IL-23R is necessary for AML viability by regulating mitotic spindle and centrosome formation. IL-23R was identified as a potential target through InterLinked Therapeutics’ ITX machine learning platform. IL-23R was identified through this unbiased in silico screen as a top hit and a potential regulator of the G2/M checkpoint and mitotic spindle. We confirmed that IL-23R protein was overexpressed >2-fold in 6 of 8 primary AML patient samples compared to mean IL-23R expression in normal hematopoietic cells. Consistent with prior studies, we confirmed cell surface localization of IL-23R in double negative T cells by flow cytometry and confocal microscopy. In contrast, only small amounts of IL-23R were detected on the surface of AML cells and primary AML patient samples. Rather, IL-23R was located intracellularly as demonstrated by flow cytometry, confocal microscopy, and immunoblotting of subcellular fractions. We confirmed intracellular localization of IL-23R in AML cells using 4 different antibodies targeted against 4 different epitopes of the receptor. We used BioID mass spectrometry to identify novel protein interactors with intracellular IL-23R and identified 61 interacting proteins. 36 of those 61 were nuclear or cytoplasmic in localization and the largest subset was associated with mitotic spindle regulation. By Proximity Ligation Assay, we confirmed the interactions between endogenous IL-23R with known mitotic spindle proteins NUMA, TMEM201, BAG6, and TACC1 in OCI-AML2 cells and primary AML samples. By confocal microscopy, we discovered that IL-23R co-localized with the mitotic spindle and centrosomes in AML cells. Genetic knockout of IL-23R increased spindle defects with multipolarity, lagging chromosomes, and spindle orientation errors. Interestingly, heterodimeric partner of IL-23R, IL12Rβ1 was also detected to be co-localized with mitotic spindles but the cytokine, IL-23, could not be detected. Knockdown of IL-23R also reduced cell growth in OCI-AML2, TEX, K562, NB4, and U937 cells. IL-23R knockdown also reduced the clonogenic growth and engraftment efficiency of TEX leukemia cells into murine bone marrow. In summary, intracellular IL-23R is a critical regulator of mitosis in AML and is necessary for AML viability. This study highlights a novel function and localization of IL-23R in AML and identifies a potential therapeutic target. Citation Format: Nathan Duong, Dilshad H. Khan, Geethu E. Thomas, Rose Hurren, Jong Bok Lee, Jonathan St-Germain, Lily Drimmer, Yongran Yan, Neil MacLean, Marcela Gronda, Brandon D. Brown, Brian Raught, Andrea Arruda, Hong Chang, Mark D. Minden, Li Zhang, Steven M. Kornblau, Vito Spadavecchio, Aaron D. Schimmer. Interleukin 23 receptor is a critical regulator of the mitotic spindle and necessary for AML viability [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 333.

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 score0.007
Threshold uncertainty score0.023

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.003

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 head0.120
GPT teacher head0.466
Teacher spread0.345 · 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
Published2023
Admission routes1
Has abstractyes

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