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Abstract A039: IGFBP5 is induced by tumor-suppressive naïve stromal cells and regulates GAS2-associated apoptosis in rhabdomyosarcoma

2022· article· en· W4296130404 on OpenAlexaboutno aff
Monika Ehnman, Karim Katkhada, Liu Zhen Meng, Yue Zhang, Binbin Zhao, Shanlin Tong, Aditi Kallai, Arne Östman

Bibliographic record

VenueClinical Cancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsStromal cellCancer researchRhabdomyosarcomaMesenchymal stem cellGrowth factorBiologyCTGFParacrine signallingPathologySarcomaMedicineInternal medicineReceptor

Abstract

fetched live from OpenAlex

Abstract Stromal cells can have either suppressive or stimulatory effects on tumor progression. However, this diverse collection of cells is still poorly characterized in soft-tissue sarcomas. Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma in childhood with molecular features of skeletal muscle differentiation. In this study, we explored tumor growth-regulatory signaling between differentially educated non-malignant mesenchymal stromal cells and malignant tumor cells in RMS. Xenograft experiments in mice were designed to provide functional evidence for alterations in tumor behavior linked to tumor-associated stromal cells. Molecular characterization was performed on the Clariom D platform, by gene set enrichment analysis, cell culture validation of deregulated genes, and finally, by clinicopathological validation in a discovery cohort (N=101) and a validation cohort (N=147). The results revealed transient tumor growth-suppressive paracrine effects of naïve orthotopic stromal cells derived from skeletal muscle. These effects were easily abolished if the stromal cells were pre-exposed to RMS cells, either short-term in vitro, or long-term in hindlimb muscle in vivo. Explorative analyses of RMS cells exposed to naïve stromal cells identified insulin-like growth factor binding protein 5 (IGFBP5) as the top upregulated gene, with an ability to induce Caspase 3/7 activation and growth arrest. The gene coding for connective tissue growth factor (CTGF) was identified as the major prosurvival factor being downregulated. Analysis of patient cohorts consistently demonstrated an association between IGFBP5, growth arrest specific protein 2 (GAS2), lower disease stage and favorable survival. Altogether, our study identifies a novel anti-tumor growth mechanism with conditionally deregulated genes linked to apoptosis and differentiation in RMS. The results provide support for continued studies on tumor growth-regulatory mechanisms induced by tumor-surrounding stromal cell subsets at primary and metastatic sites in sarcoma. Citation Format: Monika Ehnman, Karim Katkhada, Liu Zhen Meng, Yue Zhang, Binbin Zhao, Shanlin Tong, Aditi Kallai, Arne Östman, Nick Tobin. IGFBP5 is induced by tumor-suppressive naïve stromal cells and regulates GAS2-associated apoptosis in rhabdomyosarcoma [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A039.

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 score0.007

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)0.0020.000

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 head0.135
GPT teacher head0.458
Teacher spread0.323 · 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
Published2022
Admission routes1
Has abstractyes

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