Abstract 2296: Validation of a novel one-step digital PCR platform with precision circulating cell-free DNA standards
Bibliographic record
Abstract
Abstract In this study we demonstrate precision quantification of Seraseq ctDNA EGFR T790M mutation mix at AF0.1% (mutant/wild-type ratio) using a novel one-step digital PCR (dPCR) platform. This novel yet simple workflow has the potential to make cancer liquid biopsy a clinical application. EGFR is an important drug target for the treatment of non-small cell lung carcinoma (NSCLC). During the treatment of NSCLC with tyrosine kinase inhibitors (TKIs), there is typically a significant response initially, followed by a secondary mutation as the carcinoma develops resistance. Early detection of cancer can better inform patient treatment and guide drug selection. One key EGFR mutation that leads to TKI resistance is the T790M mutation. Only a few clinical assays have been approved as companion diagnostics in patient biopsies (FFPE or plasma), while a larger number of laboratory developed assays (LDTs) under CLIA/CAP guidance are finding routine use in cancer disease diagnosis or treatment monitoring. Herein we describe the validation of a novel, fully integrated dPCR platform for the detection and absolute quantification of EGFR T790M. The integrated dPCR platform consists of a patented micro-molded plastic consumable and a fully-integrated instrument combining consumable sample loading, thermal cycling and 5-color fluorescence detection. The platform was designed to have a simplified, single-step workflow and provide results in less than one hour. In addition, developments in the micro-molded plastic consumable allow for near-zero dead volume. The novel integrated instrument is 100% dry and contamination-free, making it attractive for the transition to clinical applications. Seraseq ctDNA EGFR T790M mutation mix AF1% and AF0.1% reference standards in combination with a commercially available EGFR T790M dPCR assay were used to validate the novel integrated platform. In conclusion, we highlight the capability to precisely quantify samples as low as 0.1% T790M EGFR in a background of wild-type EGFR with high reproducibility and high accuracy. Citation Format: Megan E. Dueck, Robert Lin, Andrew Anfora, Andrew Zayac, Steve Gallagher, Omo Clement, Dana Ruminsky-Lowe, Paul Hung. Validation of a novel one-step digital PCR platform with precision circulating cell-free DNA standards [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2296.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".