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Abstract LB133: Targetting IL-6/gp130 signalling axis attenuates acquired drug resistance in medulloblastoma

2021· article· en· W3178463110 on OpenAlexaff
Lakshana Sreenivasan, Pascal Leclair, Chinten James Lim

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedulloblastomaCancer researchParacrine signallingDrug resistanceTumor microenvironmentLeukemia inhibitory factorCell cultureBiologyCytokineCancerOncostatin MMedicinePharmacologyImmunologyInterleukin 6Internal medicineReceptor

Abstract

fetched live from OpenAlex

Abstract Medulloblastoma (MB) is the most common pediatric brain tumour comprising of four distinct molecular subgroups exhibiting high level of intertumoural heterogeneity. The standard multimodal treatment yields a survival rate of 70% but the aggressive treatment affects the long-term sequelae of MB patients. The tumour microenvironment (TME) is a regulator of cancer progression and affects therapeutic efficacy in primary and metastatic brain malignancies. Mechanistic insights into the tumor-promoting role of the individual components of the brain TME will aid in identifying key survival pathways and design of potential therapeutics to combat drug resistance and pathogenesis of the disease. We hypothesize that tumor associated macrophages (TAMs) in the brain TME facilitate drug resistance via the IL-6/STAT3 signalling axis in MB. To understand the role of paracrine signaling resulting from TAMs, a co-culture system was used to evaluate the expression of pSTAT3 and correlated with drug sensitivity and/or resistance in Med8A cell line. When co-cultured with HMC3, a human microglia cell line, the chemosensitive Med8A-S cells exhibited enhanced pSTAT3 expression and acquired drug resistance. Interestingly, Med8A cells lacking expression of IL-6 receptor (IL6R-/-) also exhibited high pSTAT3 levels and drug resistance; suggesting that HMC3 may release soluble factors in addition to IL-6 sufficient to drive chemoresistance in Med8A variants. To assess this, we conditioned cells with stimulatory cytokines belonging to the IL-6 family. We found that oncostatin M (OSM), interleukin-11 (IL-11) and leukemia inhibitory factor (LIF) induced drug resistance and enhanced pSTAT3 levels in IL6R-/- cells. Receptors of the IL-6 family share a common signal transducing beta subunit, glycoprotein (gp130) that transduces the signal intracellularly and phosphorylates janus activated kinases (JAKs) and subsequently STAT3. Our results suggest that paracrine proinflammatory cytokines found in the TME can promote MB drug resistance by signalling through a common signal transducer gp130, hence targeting any one cytokine receptor of the IL-6 family of cytokines may not sufficiently abrogate acquired drug resistance. Currently, we are evaluating the efficacy of agents that target common downstream elements of the IL-6/STAT3 signalling axis, including gp130, JAKs and STAT3, as a potentially improved therapeutic strategy to circumvent acquired drug resistance in medulloblastoma. Citation Format: Lakshana Sreenivasan, Pascal Leclair, Chinten James Lim. Targetting IL-6/gp130 signalling axis attenuates acquired drug resistance in medulloblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB133.

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 score0.008

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 head0.040
GPT teacher head0.343
Teacher spread0.303 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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