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Record W7132893374

Characterizing the Role of C19MC in the Development and Heterogeneity of ETMRs, a Lethal Childhood Brain Tumour

2022· dissertation· W7132893374 on OpenAlexaff
Iqra Mumal

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsEpigenomicsOncogenemicroRNADownregulation and upregulationCellEmbryonic stem cellCell cycleEpigenetics
DOInot available

Abstract

fetched live from OpenAlex

Embryonal tumours with multi-layered rosettes (ETMRs) are extremely clinically challenging brain tumours of infants and very young children, with characteristic rapid progression and only 10-20% overall survival. They are aggressive brain cancers characterized by recurrent amplification/genomic alterations of C19MC, a miRNA cluster on chr 19q13.42, and enrichment of LIN28A, a pluripotency factor. In this thesis, I combined experimental manipulation of C19MC together with high resolution epigenomic (Chapter 3) and genomic analyses of primary human ETMRs (Chapter 4) to delineate the role and contribution of the oncogenic C19MC miRNA cluster in ETMR transformation. My experimental studies in Chapter 3 showed that the C19MC oncogene acts partly via a complex transcriptional circuit to regulate LIN28A and MYCN oncogene expression. Using detailed epigenomic analyses, I uncovered a novel super-enhancer resulting from the known TTHY1-C19MC fusion which potently drives C19MC expression. I further showed that MYCN, which is upregulated via long-range DNA: DNA interactions, drives a core transcriptional regulatory circuit (CRC) that impinges on the C19MC-associated super-enhancer. Importantly, I demonstrated that treatment of ETMR cells with the bromodomain inhibitor JQ1 abrogated the CRC and led to ETMR cell death. These findings together with our observations that C19MC and LIN28A regulate expression of embryonic DNMT3A/B, indicates C19MC acts in part via a self-reinforcing C19MC-LIN28-MYCN oncogenic circuit to maintain a highly primitive transformed cell state in ETMRs. In Chapter 4, I performed whole genome sequencing and RNA-seq analysis of 68 primary ETMRs and discovered that a majority (98%) of ETMRs have defects in DNA Damage Response Pathways – 74% of tumours had alterations of genes in the homologous recombination (HR) pathway while other DNA damage repair pathways genes, including TP53, mismatch repair, nucleotide excision repair and base excision repair were observed in the remainder. Consistently, I discovered that the majority of ETMRs exhibit mutational signature 3, which is attributed to mutations in canonical DNA repair. Additionally, I show that a large proportion of ETMRs exhibit genomic instability, characterised by structural variations and chromothripsis, which is most frequently found within the C19MC-TTYH1 region. Collectively, my results point to significant genomic heterogeneity in ETMRs.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.282
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
Published2022
Admission routes1
Has abstractyes

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