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Record W2902851710 · doi:10.18192/osurj.v1i1.3690

Chromosomal instability and aneuploidy: a conundrum in cancer evolution

2018· article· en· W2902851710 on OpenAlexafffundvenue
Jasmin Ali

Bibliographic record

VenueUniversity of Ottawa Science Undergraduate Research Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAneuploidyChromosome instabilityGenome instabilityBiologyCancerChromothripsisSpindle checkpointCancer researchGeneticsChromosomeGeneDNA damageKinetochoreDNA

Abstract

fetched live from OpenAlex

Chromosomal instability (CIN), defined as an increased rate of gain or loss of whole chromosomes, leads to aneuploid cells, which are cells that display an abnormal number of chromosomes. Both CIN and aneuploidy are hallmarks of cancer, yet the underlying mechanisms of CIN and aneuploidy and their impact on tumourigenesis have remained poorly defined. Although multiple mechanisms have been proposed to explain the role of CIN and aneuploidy in tumourigenesis, this review focuses on three principal pathways leading to CIN: spindle assembly checkpoint defects, merotelic attachments, and cohesion defects. Here, we provide a brief overview of the current understanding of the roles of these mechanisms in CIN and aneuploidy. We also present emerging evidence that contradicts the importance of certain mechanisms in cancer evolution. A clearer understanding of these fundamental pathways could prove to be helpful in developing effective cancer therapies.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.007
Scholarly communication0.0030.007
Open science0.0010.002
Research integrity0.0030.004
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 head0.308
Teacher spread0.287 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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
Published2018
Admission routes3
Has abstractyes

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Same venueUniversity of Ottawa Science Undergraduate Research JournalSame topicMicrotubule and mitosis dynamicsFrench-language works237,207