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Record W7133082303

Studies on the Evolution of and Mutational Processes Driving Childhood Cancer in the Context of Genetic Predisposition

2020· dissertation· W7133082303 on OpenAlexfundno aff
Nicholas Light

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
FundersGarron Family Cancer CentreCanadian Institutes of Health ResearchStand Up To CancerUniversity of TorontoNational Cancer InstituteConsejo Nacional de Ciencia y TecnologíaHospital for Sick ChildrenGovernment of OntarioAmerican Association for Cancer Research
KeywordsSomatic hypermutationGermlineGermline mutationContext (archaeology)Genetic predispositionMutationMassive parallel sequencingCancer
DOInot available

Abstract

fetched live from OpenAlex

Cancer predisposition syndromes (CPSs) are caused by heritable mutations, often affecting DNA-repair pathways, which dramatically increase cancer risk. Once diagnosed, screening of additional family members combined with cancer surveillance protocols have shown significant survival benefits. However, CPSs are largely underdiagnosed due to clinical heterogeneity and variants of uncertain significance. In this thesis I explore the hypothesis that CPS-associated cancers exhibit characteristic DNA-repair-associated mutational signatures—patterns of somatic mutation related to mutation aetiology¬— and/or evolutionary dynamics, which may be exploited to aid in CPS diagnosis and management. To address this hypothesis, I studied two model CPSs—constitutional mismatch repair deficiency (CMMRD) and Li-Fraumeni syndrome (LFS). CMMRD results from biallelic germline mutations in one of four mismatch repair genes, and is associated with childhood brain, colorectal and lymphocytic neoplasms. Recent work has shown cancers developing in CMMRD patients to possess recurrent somatic mutations in POLE/POLD1 and massively elevated numbers of somatic point mutations (hypermutation). To assess the frequency, timing, and aetiology of hypermutation in adult and childhood cancer, I performed a comprehensive analysis of hypermutation across >80,000 human cancers. Our work identified CMMRD in 15 patients, resulting in their enrollment on a surveillance protocol and immune checkpoint inhibitor trial, which has shown sustained responses for CMMRD patients. Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome caused by germline mutations in the TP53 tumor suppressor gene, and is associated with a wide range of cancers, including sarcomas, breast cancers, adrenocortical carcinomas and brain tumours. To investigate somatic mutational events driving tumourigenesis in LFS, I performed whole-genome sequencing (WGS) analysis of bulk and multi-region dissections of tumours derived from childhood and young adult patients with germline TP53 mutations. Our analyses revealed that the life history of LFS cancers is marked by early loss of heterozygosity of TP53, mutational signatures related to homologous recombination repair deficiency and in some cases previous chemotherapeutic treatment. In summary, my thesis research demonstrated CPS-related malignancies are often mutationally and evolutionarily distinct entities. The unique molecular features of these tumours reveal aspects of their aetiology and in some cases can be used to aid in diagnosing and treating these patients.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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
Published2020
Admission routes1
Has abstractyes

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