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Record W2094429978 · doi:10.1038/aja.2013.109

Chromoplexy: a new paradigm in genome remodeling and evolution

2013· letter· en· W2094429978 on OpenAlex
Kendric Wang, Yuzhuo Wang, Colin C. Collins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsian Journal of Andrology · 2013
Typeletter
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsProstate cancerBiologyGenomeComputational biologyChromoplexyMassive parallel sequencingChromothripsisEvolutionary biologyGeneCancerGenomicsGeneticsGenome instabilityDNADNA damage

Abstract

fetched live from OpenAlex

Early massively-parallel sequencing studies have revealed the mutational landscape of protein-coding genes in prostate cancer. However, most of these studies have not explored the extensive influence of genomic rearrangement in prostate cancer. In a recent Cell article, Baca and colleagues used whole-genome sequencing to tackle this issue, comprehensively surveying the abundance of genomic rearrangements present in a large cohort of 57 prostate cancers. They characterized a wide-spread phenomenon termed 'chromoplexy', which may drive cancer evolution through the phenomena of punctuated equilibrium by concurrently dysregulating numerous cancer genes across multiple chromosomes. While the causes of this event still require elucidation, this defining discovery undoubtedly offers an important glimpse into the evolutionary process of prostate cancer.

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.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.024
GPT teacher head0.284
Teacher spread0.260 · 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