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Record W4290844254 · doi:10.3233/bd-210047

Loss of genes in chromosome arms 5q and 16q in breast cancer

2022· article· en· W4290844254 on OpenAlex
Ioannis A. Voutsadakis

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

VenueBreast Disease · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsNOSM UniversityEssar Steel Algoma (Canada)Sault Area Hospital
Fundersnot available
KeywordsBreast cancerBiologyChromosomeGeneBasal (medicine)CancerGeneticsCancer researchOncologyMedicineEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Losses of genetic material from chromosomes 5q and 16q commonly occur in sub-sets of breast cancer. Their significance from a pathophysiologic point of view is not well-defined. METHODS: This study uses publicly available genomic data from extensive breast cancer datasets to define the landscape of losses in chromosomal arms 5q and 16q in the two sub-types of breast cancer they most commonly occur, basal-like and luminal A cancers, respectively. RESULTS: It is shown that dozens of genes from these chromosomal arms are putatively hemi-deleted in few samples each. No individual gene from either 5q or 16q shows an incidence of deep deletion above 10% in the cohorts with basal-like and luminal A cancers or in the whole cohorts. A few tumor suppressor genes are deleted in a small number of samples, less than 5% in each cohort. Losses of 5q or 16q confer no survival advantage in either the basal-like or the luminal A cohorts from TCGA that harbor them. CONCLUSION: Results suggest that there are no individual genes in chromosomes 5q and 16q whose loss can be implicated in a dominant pathophysiologic sequence of events in breast cancer or its sub-sets.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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