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Record W3178481827 · doi:10.1158/1538-7445.am2021-3024

Abstract 3024: Targeting the RNA binding protein LIN28B in Group 3 medulloblastoma decreases proliferation and promotes apoptosis

2021· article· en· W3178481827 on OpenAlexaff
Shubin Shahab, Jo Lynne Rokita, Kyle Juraschka, Sachin Kumar, Michael D. Taylor, Robert W. Schnepp, Tobey J. MacDonald, Anna Kenney

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedulloblastomaWnt signaling pathwayBiologyCancer researchCell growthRNA-binding proteinDownregulation and upregulationPARP1microRNAApoptosisRNACell biologyGeneticsGeneSignal transductionPoly ADP ribose polymerase

Abstract

fetched live from OpenAlex

Abstract Medulloblastoma (MB) is the most common pediatric malignant brain tumor and is currently divided into WNT, SHH, Group 3 and Group 4 subtypes. Even with multimodal chemotherapy, radiotherapy and surgery, many children with Group 3 MBs do not survive. While the molecular aberrations underlying WNT- and SHH-driven MBs are relatively well understood, the oncogenic drivers that lead to Group 3/4 MBs are poorly defined, limiting therapeutic progress. In addition to genetic mutations and alterations, cancers display dysregulated transcription and translation. RNA-binding proteins (RBPs) play key roles in both transcription and translation, and a subset of RBPs are differentially expressed in many different cancers. Indeed, we have previously demonstrated an oncogenic role for the RBP LIN28B in neuroblastoma and it is known to be upregulated in Wilms tumor, hepatoblastoma, germ cell tumors, leukemia among others. LIN28B is a key regulator of let-7 family miRNAs, which in turn inhibit LIN28B and other oncogenes. We hypothesize that LIN28B plays an important role in Group 3 MB and that a better understanding of LIN28B and LIN28B-driven networks will reveal novel therapeutic vulnerabilities. In support of our hypothesis we find that among the four subtypes, LIN28B levels are highest in Group 3 MB, and that overexpression is associated with significantly worse survival. Down-regulation of LIN28B results in significant reduction in cell proliferation by CellTiter-Glo and increased apoptosis by Caspase-Glo (as well as induction of cleaved PARP on immunoblots). In contrast overexpression of LIN28B increases Group 3 cell proliferation and tumor sphere formation. In addition we find that PDZ-binding kinase (PBK) a downstream target of LIN28B is downregulated when LIN28B is depleted. PBK knock down also leads to decreased proliferation of Group 3 MB cells. Finally, in order to robustly define the signaling networks downstream from LIN28B that are involved in Group 3 MB metastasis, we have performed who transcriptome RNA-seq profiling of two group 3 cell lines following LIN28B depletion and plan to interrogate a subset of these based on expression change and functional relevance to LIN28B-mediated Group 3 MB metastasis. This work will help define the role for LIN28B in Group 3 MB aggressiveness and pave the way for similar studies in other cancers. Citation Format: Shubin W. Shahab, Jo Lynne Rokita, Kyle Juraschka, Sachin Kumar, Michael Taylor, Robert W. Schnepp, Tobey J. MacDonald, Anna M. Kenney. Targeting the RNA binding protein LIN28B in Group 3 medulloblastoma decreases proliferation and promotes apoptosis [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 3024.

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 score0.003
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 head0.028
GPT teacher head0.340
Teacher spread0.312 · 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
Published2021
Admission routes1
Has abstractyes

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