Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Bench or experimentalConsensus signal: Bench or experimental
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.105
- Threshold uncertainty score
- 0.543
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.218 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Next-generation sequencing approaches have been used to investigate the genomes and transcriptomes of an oestrogen-receptor-α-positive metastatic lobular breast cancer from a patient — rather than from a cell line or xenograft — over a 9-year period between the diagnosis of the primary tumour and the appearance of metastasis. Comparison of the somatic non-synonymous coding mutations in the metastasis and the primary tumour of the same patient and the combined analysis of genome and transcriptome data provided insights into the mutational evolution that can occur with disease progression. The cover shows sequence elements of the HAUS3 locus, one of the genes found to be mutated in the tissue (shown in the background) from the primary lobular cancer used for this work. Advances in next generation sequencing have made it possible to precisely characterize the coding mutations that occur during the development and progression of individual cancers. Here, this technique is used to sequence the genomes and transcriptomes of an oestrogen-receptor-α-positive metastatic lobular breast cancer; significant evolution is found to occur with disease progression. Recent advances in next generation sequencing1,2,3,4 have made it possible to precisely characterize all somatic coding mutations that occur during the development and progression of individual cancers. Here we used these approaches to sequence the genomes (>43-fold coverage) and transcriptomes of an oestrogen-receptor-α-positive metastatic lobular breast cancer at depth. We found 32 somatic non-synonymous coding mutations present in the metastasis, and measured the frequency of these somatic mutations in DNA from the primary tumour of the same patient, which arose 9 years earlier. Five of the 32 mutations (in ABCB11, HAUS3, SLC24A4, SNX4 and PALB2) were prevalent in the DNA of the primary tumour removed at diagnosis 9 years earlier, six (in KIF1C, USP28, MYH8, MORC1, KIAA1468 and RNASEH2A) were present at lower frequencies (1–13%), 19 were not detected in the primary tumour, and two were undetermined. The combined analysis of genome and transcriptome data revealed two new RNA-editing events that recode the amino acid sequence of SRP9 and COG3. Taken together, our data show that single nucleotide mutational heterogeneity can be a property of low or intermediate grade primary breast cancers and that significant evolution can occur with disease progression.
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.
The record
- Venue
- Nature
- Topic
- RNA and protein synthesis mechanisms
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- University of British ColumbiaCanada's Michael Smith Genome Sciences CentreBC Cancer Agency
- Funders
- BC Cancer AgencyNatural Sciences and Engineering Research Council of CanadaGenome British ColumbiaCure Brain Cancer FoundationMichael Smith Health Research BCBC Cancer FoundationCanadian Institutes of Health ResearchGenome Canada
- Keywords
- BiologySomatic cellBreast cancerTranscriptomeGeneticsDNA sequencingWhole genome sequencingGenomeGermline mutationMutationPrimary tumorCoding regionGeneCancer researchMetastasisComputational biologyCancerGene expression
- Has abstract in OpenAlex
- yes