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Record W3047518314 · doi:10.1158/1538-7445.pedca19-b48

Abstract B48: A LIN28B-PDZ kinase axis promotes neuroblastoma metastasis

2020· article· en· W3047518314 on OpenAlexaboutno aff
Dongdong Chen, Julie Cox, Jayabhargav Annam, Melanie Weingart, Grace Essien, Komal S. Rathi, Priya Khurana, Selma M. Cuya, Jo Lynne Harenza, Kristopher R. Bosse, Adeiye A. Pilgrim, John M. Maris, Robert W. Schnepp

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroblastomaMetastasisCancer researchSmall hairpin RNAGene knockdownBiologymicroRNACancerKinaseDownregulation and upregulationApoptosisCell biologyCell cultureGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Background: Neuroblastoma, an aggressive cancer of the developing sympathetic nervous system, continues to cause significant morbidity and mortality, highlighting the need to identify novel therapeutic vulnerabilities. We previously demonstrated that the RNA binding protein (RBP) LIN28B is an oncogenic driver and induces neuroblastoma proliferation, in part by regulating a RAN GTPase-Aurora kinase A axis. LIN28B blocks the processing of the let-7 family of tumor suppressors and binds mRNAs directly. In addition to alterations in cell cycle/apoptosis, metastatic dissemination is a hallmark of cancer that is incompletely understood, and neuroblastoma exhibits a striking proclivity for widespread metastases. In these studies, we investigated how LIN28B shapes neuroblastoma metastasis. Methods: We generated GFP-luciferase expressing neuroblastoma cell line models in which LIN28B levels were manipulated, injected these models into the tail veins of NSG mice, and tracked dissemination using an IVIS Spectrum system. We used gain- and loss-of-function approaches (siRNAs, shRNAs, microRNA mimetics) to manipulate transcripts of interest in neuroblastoma cells and measured effects on self-renewal, invasion, and downstream signaling. To discover LIN28B-associated pathways, we assessed clinically annotated mRNA expression datasets. Results: Mice injected with LIN28B-depleted neuroblastoma cells exhibit a delayed onset of tumor metastasis, reduced tumor burden, and extended survival (103 days vs. 50 days, p<0.0001), compared to mice bearing neuroblastoma cells expressing control scrambled shRNA. We next demonstrated that LIN28B promotes, and let-7 opposes, self-renewal and migration, two hallmarks of metastasis. As we discovered that Aurora kinase A is a novel LIN28B target, we speculated that LIN28B might positively regulate diverse oncogenic kinases to promote metastasis. We evaluated the TARGET dataset of neuroblastoma tumors and found LIN28B mRNA expression to be robustly correlated with PDZ-binding kinase mRNA expression (PBK; r=0.67; p=3.2 × 10-33), a kinase with roles in cell proliferation/survival, self-renewal, and metastasis, and is overexpressed in multiple malignancies. We demonstrated that LIN28B directly promotes, and let-7 opposes, the expression of PBK protein, and, indeed, that PBK is a novel and direct let-7 target. Moreover, we reveal that MYCN binds to the promoter of PBK and positively regulates PBK RNA and protein expression. Finally, PBK depletion mimics the effects of LIN28B depletion, with respect to self-renewal and invasion. Conclusions: Taken together, our findings suggest that LIN28B/let-7 shapes neuroblastoma metastasis, in part through influencing PBK, a kinase not previously implicated in the pathogenesis of aggressive pediatric solid tumors. Current studies are defining whether PBK, a therapeutically tractable target for which clinically relevant inhibitors exist, represents a novel therapeutic vulnerability in metastatic neuroblastoma. Citation Format: Dongdong Chen, Julie Cox, Jayabhargav Annam, Melanie Weingart, Grace Essien, Komal Rathi, Priya Khurana, Selma Cuya, Jo Lynne Harenza, Kristopher Bosse, Adeiye Pilgrim, John M. Maris, Robert W. Schnepp. A LIN28B-PDZ kinase axis promotes neuroblastoma metastasis [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B48.

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.159
GPT teacher head0.431
Teacher spread0.273 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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