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Record W7008642875

Characterizing and therapeutically exploiting chromosome instability induced by USP22 deficiency in colorectal cancer

2021· dissertation· en· W7008642875 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typedissertation
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsChromosome instabilityChromatinMitosisPLK1ChromosomeCell cycleChromosome segregationColorectal cancer
DOInot available

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) remains the second leading cause of cancer-associated deaths in Canada. To develop new treatments with enhanced efficacy, a greater understanding of the processes driving CRC pathogenesis is required. In this regard, chromosome instability (CIN) is an aberrant phenotype observed in ~ 85% of CRCs that is characterized by an increased rate of chromosome gains and losses. Although CIN contributes to CRC development and is associated with poorer outcomes, the genetic defects giving rise to CIN in tumors remain largely unknown. In mitosis, chromatin compaction is critical to ensure accurate chromosome segregation. Intriguingly, monoubiquitination of histone H2B (H2Bub1) impairs chromatin compaction in vitro, while H2Bub1 is rapidly depleted from chromosomes upon mitosis onset in vivo. This suggests that H2Bub1 removal in mitosis is required for accurate chromosome compaction and segregation. Accordingly, impaired H2Bub1 removal may disrupt mitotic fidelity and promote CIN. In interphase, USP22 is a major enzyme catalyzing H2Bub1 removal, which may also be responsible for H2Bub1 depletion in mitosis. In this thesis, quantitative imaging microscopy revealed that siRNA-based USP22 depletion impairs H2Bub1 removal and mitotic chromatin compaction in CRC cell line HCT116 and induces CIN in two karyotypically stable cell lines (Chapter 4). As USP22 is deleted in ~ 48% of CRCs, I employed CRISPR/Cas9 methods to generate homozygous and heterozygous USP22 knockout models in malignant and non-malignant colonic epithelial cell lines. Long term monitoring of these USP22-deficient models revealed dynamic CIN phenotypes relative to controls, which identifies reduced USP22 expression as a novel genetic determinant of CIN and indicates that USP22 deletion may promote CRC pathogenesis (Chapter 5). To discover drug targets to selectively kill USP22-depleted cells, I employed the USP22-deficient models in a screen of 239 DNA damage response genes that identified 86 putative USP22 synthetic lethal interactors. Validation assays for two top candidates revealed that the clinically approved drug sorafenib preferentially targets USP22-deficient cells relative to controls (Chapter 6). Collectively, these findings provide novel insight into the molecular origins of CIN and represent a first step towards the development of therapeutic strategies that effectively kill USP22-deficient CRCs.

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 score0.001
Threshold uncertainty score0.005

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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