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Record W2146634073 · doi:10.1093/carcin/bgh282

Mitochondrial DNA mutations in breast cancer tissue and in matched nipple aspirate fluid

2004· article· en· W2146634073 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCarcinogenesis · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsnot available
FundersMcGill University
KeywordsMitochondrial DNABiologyMolecular biologyBreast cancerMutationGeneticsD-loopCancerGene

Abstract

fetched live from OpenAlex

Unlike nuclear (n)DNA, of which there is one paired copy per cell, there are many copies of mitochondrial (mt)DNA per cell, making PCR amplification of mtDNA easier in samples of limited cellularity. The aims of this study were to (i) determine the mutation patterns of breast cancers through a comprehensive screen of mtDNA mutations, and (ii) assess if mutations in the cancers are also detectable in breast nipple aspirate fluid (NAF), a physiologic fluid which contains shed ductal epithelial cells. Fifteen breast cancers, matched benign tissues and NAF were collected. Nine overlapping primer sets were used to sequence the entire mitochondrial genome from tissue samples. For NAF samples, we focused on the 19 nucleotide positions (np) where mutations were found in a 3701 bp region (np 15331 to 2463), which includes the displacement (D)-loop, a mtDNA mutation hot spot. Fourteen of the fifteen (93%) cancer samples had > or =1 somatic mtDNA mutation for a total of 45 at 35 np (9 np reported previously, 26 new). Nine of fifteen tumors had > or =2 mutations. The D-loop contained 17 of 45 (38%) and non-D-loop (coding) regions contained 28 (62%) mutations. Of the 28 mutations in the coding loci, 11 led to an amino acid change. The frequency of mtDNA mutations was higher in the D-loop region (1.5 versus 0.18% of loci). 155 polymorphisms were identified (98 reported previously, 57 new). Sixteen of forty-five (36%) mutations were located at polymorphism sites. Four of nineteen mtDNA mutations in 10 cancers located between np 15331 and 2463 were found in matched NAF (two of eleven mutations in the D-loop and two of eight in non-D-loop regions). No mutations were found in five matched NAF samples from women whose cancers lacked a mutation in the same region. In conclusion, mtDNA mutations in breast cancer occur both within and outside of the D-loop, though the mutation rate in the D-loop is over 7-fold higher than in coding areas. We identified 26 new mutation loci (25 in regions sequenced by others, one in an area not). The high frequency of mtDNA mutations at polymorphic loci requires further investigation. Specific mtDNA mutations can be detected in a subset of NAF samples from women with breast 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.549

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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