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Comprehensive genomic analysis of metastatic pancreatic ductal adenocarcinoma (mPDAC) reveals a significant proportion of clinical actionable aberrations.

2019· article· en· W2914115087 on OpenAlexaff
Michael Lee, Martin Jones, Laura M. Williamson, James T. Topham, Sean Addison, Hui‐Li Wong, Rob Denroche, Gun Ho Jang, Joanna M. Karasinska, John Paul McGhie, Sharlene Gill, Howard J. Lim, Stephen Yip, Jennifer J. Knox, Steven Gallinger, Janessa Laskin, Marco A. Marra, Steven J.M. Jones, David F Sschaeffer, Daniel J. Renouf

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsVancouver Coastal Health Research InstituteVancouver Coastal HealthOntario Institute for Cancer ResearchVancouver General HospitalPancreas Centre (Canada)Canada's Michael Smith Genome Sciences CentreGenome British ColumbiaPrincess Margaret Cancer CentreBC Cancer Agency
Fundersnot available
KeywordsMedicineFOLFIRINOXKRASOncologyInternal medicinePancreatic cancerAdenocarcinomaCancerPTENCancer researchColorectal cancerGeneticsBiology

Abstract

fetched live from OpenAlex

273 Background: Substantial progress has been made in the understanding of the genomic landscape of PDAC, but the clinical utility of these data remains uncertain. Methods: As part of the BC Cancer Personalized Oncogenomics (POG) and PanGen studies, whole genome analysis and transcriptome sequencing were performed on fresh biopsy and blood sample from 47 mPDAC patients. Genomic findings informed therapy choices including potential eligibility for the CCTG PM.1 molecular basket trial. Results: Cohort consists of 53% male, average age 57.8, 34/47 had ≥2 lines of treatment. 37/47 biopsies were from liver and 26/47 were collected pre-treatment. 8/47 (17%) patients had aberrations with strong evidence of clinical actionability. These include 2 germline BRCA2, 1 germline BRCA1, 1 somatic XRCC2 homozygous deletion with strong COSMIC signature 3, all predictive of platinum sensitivity. Patients with XRCC2 deletion and BRCA1 had over 2 years on FOLFIRINOX. Fusions affecting the NRG1 gene were identified in 3 patients, all with KRAS wildtype tumours, which may confer ERRB inhibitor sensitivity. 1/3 NRG1 fusion patients had thus far been treated with the ERBB inhibitor afatinib, with reduction of CA19-9 from >120,000 to 7246 and dramatic response noted on PET CT imaging one month post treatment. One patient had mismatch repair deficiency, and a high mutational burden, suggestive of immune checkpoint inhibitor sensitivity. In total 85% (40/47) sequenced mPDAC patients had potentially actionable mutations which includes CCTG PM.1 trial eligibility: 24/47 with cell cycle dysregulation (CDK4/6 inhibitor arm), 4/47 with high homologous recombination defects (PARP inhibitor arm), 1/47 ERBB2 amplification (anti-HER2 arm), 2/47 high expression of FGFR1 (Sunitinib arm) and 1/47 with high FLT4 and IGF1R expression (Axitinib arm). Conclusions: More routine use of comprehensive genomic analysis should be considered in mPDAC given finding of high degree of actionability. Importantly, a significant proportion (17%) had findings with strong evidence of clinical impact.(NCT02155621, NCT02869802, NCT03297606)

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.094
GPT teacher head0.430
Teacher spread0.336 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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