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Record W3047545536 · doi:10.1158/1538-7445.pedca19-a47

Abstract A47: BMI1 constitutes a novel therapeutic vulnerability in fusion-positive rhabdomyosarcoma

2020· article· en· W3047545536 on OpenAlexaboutno aff
Cara E. Shields, Selma M. Cuya, Sarah K. Chappell, Komal S. Rathi, Shiv Patel, Sindhu Potlapalli, Robert W. Schnepp

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsRhabdomyosarcomaBMI1Cancer researchAlveolar rhabdomyosarcomaFusion geneBiologyEpigenomeFOXM1ApoptosisCell cycleMedicineCell cultureGeneDNA methylationGeneticsGene expressionPathologySarcoma

Abstract

fetched live from OpenAlex

Abstract Background: Despite intense efforts within pediatric oncology, novel, effective therapy for alveolar rhabdomyosarcoma, known as fusion-positive rhabdomyosarcoma (FP RMS) given the PAX-FOXO1 fusions characteristic of the disease, remains unrealized. Like many pediatric tumors, FP RMS displays a quiet genomic landscape, when focusing on the coding genome. However, the epigenome plays key roles in shaping tumor aggression, and previous studies have demonstrated that FP RMS is specifically enriched for methylation of Polycomb target genes, suggesting that Polycomb complexes may be deregulated and could constitute novel therapeutic targets. We hypothesized that BMI1, a key member of the Polycomb family and a tractable therapeutic target, represents a novel therapeutic vulnerability in FP RMS. Methods: We analyzed RNA and protein expression in FP RMS cell lines, patient-derived xenografts (PDXs), and human tumor specimens. We used genetic and pharmacologic approaches to manipulate BMI1 in FP RMS cells and measured effects on proliferation, cell cycle, apoptosis, and signal transduction. To examine the effect of in vivo inhibition of BMI1, we utilized xenograft models of FP RMS. Results: We examined RNA-Seq tumor datasets and tumor microarrays and demonstrated that BMI1 is robustly expressed in FP RMS tumors, PDXs, and cell line models. Next, in 2 cell line models, we depleted BMI-1 using shRNAs and siRNAs, and found that this led to striking (~70%) decreases in cell growth secondary to both G1/S phase arrest and apoptosis. Given these findings, we asked whether small-molecule inhibitors of BMI-1 mediated similar effects. We treated 4 independent FP RMS cell line models with both PTC-209 (first-generation inhibitor) and PTC-028 (orally available second-generation inhibitor with higher potency). Both compounds inhibited BMI-1 function and greatly reduced cell proliferation in FP rhabdomyosarcoma cell line models. Similar to genetically mediated depletion, pharmacologic inhibition of BMI1 led to G1/S phase arrest and apoptosis, as demonstrated by Annexin V staining and PARP cleavage. Finally, in a xenograft model of an aggressive FP RMS, PTC-028 treatment decreased tumor growth (p=0.0005) and significantly prolonged survival by 17 days (p=0.0002). Importantly, treatment was well tolerated without evidence of toxicity or weight loss. Conclusions: BMI1 is robustly expressed in FP RMS and both genetic and pharmacologic inhibition of BMI1 lead to striking decreases in cell proliferation, with concomitant cell cycle arrest and apoptosis. BMI1 inhibition significantly decreases tumor growth, prolongs survival, and is well tolerated. Currently, we are further investigating combining BMI1 inhibition with standard chemotherapy and novel agents, as well as defining molecular mechanisms by which BMI1 exerts molecular functions in FP RMS. Targeting BMI-1 could provide a novel therapeutic option for patients with FP RMS, with potential broader implications for additional aggressive sarcomas. Citation Format: Cara E. Shields, Selma M. Cuya, Sarah Chappell, Komal Rathi, Shiv Patel, Sindhu Potlapalli, Robert W. Schnepp. BMI1 constitutes a novel therapeutic vulnerability in fusion-positive rhabdomyosarcoma [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 A47.

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 head0.113
GPT teacher head0.409
Teacher spread0.295 · 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
Published2020
Admission routes1
Has abstractyes

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