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Abstract LB198: The PAX5 oncogene encodes circular RNA products involved in B cell cancer processes

2024· article· en· W4393988520 on OpenAlexaff
Danick Martin, Brandon Hannay, Farrah McGraw, Alexis Martin, Vanessa Veilleux, Nicholas Finn, Gilles A. Robichaud

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsDr. Georges-L.-Dumont University Hospital CentreUniversité de Moncton
Fundersnot available
KeywordsCancerOncogeneCancer researchRNABiologyGeneMedicineGeneticsCell cycle

Abstract

fetched live from OpenAlex

Abstract Introduction: B-cell cancers represent some of the most prevalent hematological lesions in adult and children. B-cell cancers are also notable for their malignancy and resistance to drug therapies. Our group studies B-cell oncogenes and recently discovered that the prominent PAX5 oncogene, which usually encodes transcription factors, also generates non-coding circular RNA transcripts. Circular RNAs (circRNAs) represent a new class of gene products involved in many biological processes and cancer disease. Due to their innate ability to bind and modulate co-interacting proteins and microRNAs (miRs), circRNAs represent new signaling avenues in cancer biology. Hypothesis: Given that products from the PAX5 oncogene are important regulators of B-cell cancers, we hypothesized that PAX5 circRNAs (circPAX5) are also involved in B-cell oncogenesis. Objective: We therefore set out to study circPAX5 products, and their co-interacting miRs, in B-cell cancers. Results: Using a series of B-cell cancer models and clinical samples, we first profiled the expression of circPAX5 products and found that B-cell leukemias overexpress circPAX5 where its predominant circRNA isoform consisted of exons 2 to 5 sequences of the PAX5 locus. To establish a functional role of circPAX5 on cancer processes, we evaluated B-cell proliferation and chemosensitivity in cancer models expressing conditioned levels of circPAX5. Interestingly, we found that the suppression of circPAX5 levels resulted in the alteration of cancer growth rates, which were dependent upon B-cell differentiation state and population subtype. Mechanistically, we also found that circPAX5 interacts with specific miRs, which were profiled by circRNA precipitation and deep sequencing. Selected sponged miRs were then studied by bio-informatic analyses and mapped to downstream mRNA targets and B-cell cancer pathways. Conclusions: Altogether, our findings uncover PAX5 circular products, which are involved in B-cell cancer processes and could potentially represent a new cancer pathway targeted for therapeutic and/or diagnostic strategies in B-cell cancer lesions. Citation Format: Danick Martin, Brandon Hannay, Farrah McGraw, Alexis Martin, Vanessa Veilleux, Nicholas Finn, Gilles A. Robichaud. The PAX5 oncogene encodes circular RNA products involved in B cell cancer processes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB198.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.175
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.387
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 teacher head, 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

Citations1
Published2024
Admission routes1
Has abstractyes

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