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Prospective genomic/transcriptomic profiling of advanced pancreatic ductal adenocarcinoma (PDAC) for personalized therapy: Feasibility and preliminary results from the COMPASS study (NCT02750657).

2017· article· en· W2790263191 on OpenAlexaff
Kyaw Aung, Sandra E. Fischer, Rob Denroche, Gun Ho Jang, Anna Dodd, Sean Creighton, Dianne Chadwick, Lee E. Timms, Grainne M. O’Kane, Hamzeh Albaba, Bernadette Southwood, Sangeet Ghai, Malcolm J. Moore, Jessica K. Miller, Faiyaz Notta, Julie M. Wilson, David W. Hedley, Neesha C. Dhani, Steven Gallinger, Jennifer J. Knox

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsBC Cancer AgencyOntario Institute for Cancer ResearchToronto General HospitalPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineInternal medicineCrizotinibClinical endpointOncologyPrimary tumorCancerMetastasisClinical trial

Abstract

fetched live from OpenAlex

e15776 Background: Prospective characterization of advanced PDAC using whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) may identify patients (pts) who will benefit from a personalized treatment strategy. The feasibility of this approach has not previously been established in PDAC. Methods: Advanced PDAC pts with ECOG PS 0-1 and accessible metastatic or primary tumors, were recruited. A fresh tumor sample for WGS and WTS was obtained by percutaneous biopsy and a reference whole blood sample for germline DNA analysis collected before starting 1st line palliative chemotherapy. Tumor biospecimens were enriched by laser capture microdissection before genomic analysis. The primary endpoint was feasibility (to report WGS results within 56 days in 40 of the first 50 recruited pts.) with a plan to accrue 200 pts. Results: From Dec 2015 – Jan 2017, 42 pts with advanced PDAC safely underwent tumor biopsy (32 liver, 1 omentum, 1 adrenal, 8 primary tumor). Adequate tumor biospecimens were obtained in all but one pt. The median number of tissue cores was 5 (range 3-6). The median post-enrichment tumor cellularity was 77% (range 37-93). WGS was successful for all samples analyzed. In 41 of 42 pts (97.6%), WGS was feasible and results were reported within 56 days (Median 37 days; range 19 to 52 days) meeting the primary endpoint. Potentially actionable somatic genetic aberrations were found in 12 pts (29%) involving ARID1A (N = 4), PIK3CA (N = 1), PDGFRB (N = 1), ERBB4 (N = 1), ATM (N = 2), CDK4 (N = 1) and CDK6 (N = 2). One pt with a germline BRCA2 mutation and another with somatic DSBR mutation signature achieved partial response with FOLFIRINOX (FFX). WTS results were available for 35 pts (85%). Of those, 19 were evaluable for FFX response. Eight of 9 pts (88%) with ‘classic’ signature and 4 of 10 pts (40%) with ‘basal like’ signature had tumor shrinkage with FFX (P = 0.08). Conclusions: Prospective comprehensive genomic profiling of advanced PDAC is feasible with an acceptable turnaround time. Approximately 30% of advanced PDAC pts have targetable genomic signatures and aberrations. RNA signature may predict FFX response.

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)0.004
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.249
GPT teacher head0.498
Teacher spread0.249 · 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 designNon-randomized trial
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
Published2017
Admission routes1
Has abstractyes

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