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Abstract PR02: Generation of the first genetically defined tumorigenic model of Ewing sarcoma expressing EWS-FLI1

2020· article· en· W3047560020 on OpenAlexaboutno aff
Joshua Felgenhauer, Laura Tomino, Hasan Siddiqui, Emily Bopp, Julia Selich‐Anderson, Jessica Mormol, Cenny Taslim, Nilay Shah

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsnot available
Fundersnot available
KeywordsHOTAIRSmall hairpin RNACancer researchGene knockdownCarcinogenesisBiologyMesenchymal stem cellCell cultureCell growthTelomerase reverse transcriptaseEmbryonic stem cellFLI1Cell biologyCancerDownregulation and upregulationTelomeraseTranscription factorGeneticsLong non-coding RNAGene

Abstract

fetched live from OpenAlex

Abstract Background: Ewing sarcoma (ES) is an undifferentiated cancer of the bone and soft tissue canonically defined by expression of EWS-FLI1 or similar fusion proteins. The cell of origin remains undefined but is likely either a human mesenchymal stem cell (hMSC) or neural crest stem cell. The ES cells are depending on EWS-FLI1 for viability, but paradoxically exogenous EWS-FLI1 expression causes cell death in virtually all other cells. Expression of EWS-FLI1 in hMSCs has been variably successful and unreliable, and the two prior reports of stable expression did not elucidate why those efforts were successful, preventing reproducibility. Our work has shown that expression of the lncRNA HOTAIR allows for subsequent stable expression of EWS-FLI1 in hTERT-immortalized hMSCs and primary hMSCs but without induction of tumorigenesis in vivo. Methods: We used established ES cell lines, hTERT-hMSCs and primary hMSCS, to evaluate mRNA and protein expression at baseline and in the context of modulation of expression of HOTAIR, EWS-FLI1, MYC, and MYCN. Results: We demonstrated by RT-qPCR that HOTAIR is highly expressed across all ES cell lines as compared to hTERT-hMSCs and primary hMSCS. We also found that MYC is highly expressed in most ES cells lines and hMSCs. In contrast, MYCN is overexpressed in ES cell lines as compared to hMSCs. Repression of MYC in ES cell lines had no significant effect on proliferation of ES cells in vitro; repression of MYCN by shRNA in ES cell lines decreased proliferation in vitro and slowed tumor growth in vivo. Exogenous expression of HOTAIR in hMSCs allowed for viable subsequent expression of EWS-FLI1 in those cells, but without tumorigenesis in vivo (0/10 for hTERT- or primary hMSCs). Overexpression of MYC (0/6) or MYCN (1/6) in hMSCs expression HOTAIR did not reliably induce tumorigenesis. Overexpression of MYC or MYCN in hMSCs did not allow for viable EWS-FLI1 expression. Overexpression of HOTAIR, then EWS-FLI1 and MYCN, to levels comparable with ES cell lines, induced tumorigenesis from hTERT-hMSCS and primary hMSCs (6/6 for each), when cells were implanted subcutaneously into SCID mice with Matrigel. The resultant tumors were positive by immunohistochemistry for CD99 and NKX2.2, clinical markers of ES. RNA-Seq demonstrated the HOTAIR-EWS-FLI1-MYCN expressing hMSCs had gene expression profiles comparable to ES tumors. Conclusions: We have generated the first genetically defined tumorigenic models of ES from non-neoplastic human cells. This model can be used to elucidate the biology of EWS-FLI1 in malignant transformation and tumor formation. This work supports our prior data demonstrating a necessary role for HOTAIR in ES biology and suggests that MYCN may also be a driver of tumorigenesis in ES. Additional work is needed to define the underlying factors that induce HOTAIR and MYCN expression in ES (i.e., are they basally or aberrantly expressed in the cell of origin?) and if they are therapeutically targetable. This abstract is also being presented as Poster B77. Citation Format: Joshua Felgenhauer, Laura Tomino, Hasan Siddiqui, Emily Bopp, Julia Selich-Anderson, Jessica Mormol, Cenny Taslim, Nilay Shah. Generation of the first genetically defined tumorigenic model of Ewing sarcoma expressing EWS-FLI1 [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 PR02.

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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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.114
GPT teacher head0.357
Teacher spread0.242 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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