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Abstract POSTER-TECH-1119: Phylogenetic portraits of high grade serous ovarian cancer

2015· article· en· W2465921301 on OpenAlexaff
Andrew McPherson, Andrew Roth, David Huntsman, Jessica N. McAlpine, Sohrab P. Shah

Bibliographic record

VenueClinical Cancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsBiologyGenome instabilityGeneticsMicrosatellite instabilityCDKN2AGermline mutationIndelGermlineATRXSomatic evolution in cancerMutationCancerGeneGenotypeDNADNA damageMicrosatellite

Abstract

fetched live from OpenAlex

Abstract High Grade Serous Ovarian Cancer (HGSOvCa) is characterized by genomic instability resulting from deficient DNA repair processes primarily due to TP53 mutation and BRCA abnormalities. Genomic instability has been shown to result in significant intratumoral heterogeneity, with temporally and spatially separated tumours exhibiting unique mutational profiles. A key unanswered question is whether genomic instability produces functionally relevant driver mutations, or whether the tumours complement of driver mutations predates the emergence of instability. We sought to reconstruct the evolutionary histories of the tumours of 8 HGSOvCa patients using spatial and temporal profiling of somatic mutations. For each patient, we collected multiple tumour biopsies resected from primary and metastatic sites at the time of surgery. We then used whole genome shotgun sequencing to identify somatic point mutation, rearrangement and copy number changes present at each site. We used novel computational techniques to unmix the signal produced by sequencing of a mixture of tumour cells, and infer the genomic architecture of clonal populations in each tumour sample. Additionally, we used phylogenetic inference techniques to reconstruct the ancestral relationships between the genomically distinct clones identified in each patient. We classified mutations as occurring ancestrally (before clonal divergence) or occurring on a descendent lineage. We identified multiple well known driver mutations occurring in descendent lineages of the tumour phylogeny, including mutations in CDKN2A, BCL6 and ERBB2. Aberrant site specific expression patterns were concomitant with genomic changes. Furthermore, we identified instances of convergent evolution, including independent deletion of wild type RAD51B in a patient with a germline RAD51B mutation. Reconstruction of clonal phylogenies enabled inference of metastatic spread. In one patient, a minor subclone of a right ovary tumour acquired an ERBB2 amplification, then subsequently populated all other metastatic sites sampled by the experiment. Finally, from our analyses we concluded that in many HGSOvCa, genomic instability and associated copy number changes result in the deletion of a significant number of point mutations, with implications for phylogenetic reconstruction using traditional techniques. Citation Format: Andrew McPherson, Andrew Roth, David Huntsman, Jessica McAlpine, Sohrab Shah. Phylogenetic portraits of high grade serous ovarian cancer [abstract]. In: Proceedings of the 10th Biennial Ovarian Cancer Research Symposium; Sep 8-9, 2014; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(16 Suppl):Abstract nr POSTER-TECH-1119.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.167
GPT teacher head0.463
Teacher spread0.297 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2015
Admission routes1
Has abstractyes

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