Abstract 75: Highly multiplexed <i>EGFR</i> mutation detection from liquid biopsy samples using the 6-color Crystal Digital PCR™
Bibliographic record
Abstract
Abstract Liquid biopsies are a minimally invasive sampling approach to overcome the heterogeneity of tumors and represent a valuable source of circulating tumor DNA (ctDNA) for oncological biomarker analysis. ctDNA measurements require a highly sensitive and reliable detection technology to quantify often low-level genetic aberrations within a high background of wild-type sequences. Digital PCR emerged as a powerful technology for the next-generation analysis of liquid biopsies. Stilla Technologies' 6-color naica® system is an ultrasensitive, easy-to-use digital PCR platform capable of simultaneously and precisely quantifying high numbers of biomarkers in a single reaction. Non-small cell lung cancer (NSCLC) is a leading cause of cancer mortality worldwide. Epidermal growth factor receptor (EGFR) is frequently mutated in NSCLC. A handful of anti-EGFR Tyrosine Kinase Inhibitor therapies are approved by the FDA; however, most patients develop resistance over time to these treatments. Both monitoring primary EGFR mutations to predict treatment response and precociously detecting resistance mutations to adapt treatments promptly through ctDNA analysis stand to improve the effectiveness of NSCLC patient management. Stilla has developed a highly multiplexed 6-color Crystal Digital PCR EGFR kit detecting more than 90% of EGFR mutations described in NSCLC from ctDNA. The assay detects 32 common and rare somatic EGFR mutations in exons 18, 19, 20, and 21, including both activating and resistant mutations. In this work, we evaluated the sensitivity, precision and specificity of the EGFR 6-color Crystal Digital PCR assay highly specific and sensitive for the detection of EGFR mutations, with a Limit of Detection in a high background of wild-type DNA ranging from 0.30 to 0.46 cp/μL (with observed MAFs ranging from 0.06 to 0.09%). Moreover, a high concordance was observed between those EGFR results obtained for NSCLC ctDNA samples using 6-color Crystal Digital PCR and other technologies. With a rapid time to results and straightforward ctDNA analysis workflow, Crystal Digital PCR on the naica system promises ultrasensitive, highly multiplexed 6-color mutation detection, maximizing the information obtained from precious samples. Citation Format: Cécile Jovelet, Myrtille Remy, Noémie Pata-Merci, Damien Vasseur, Ludovic Lacroix, Claudia Labrador-Rached, Allison C. Mallory. Highly multiplexed EGFR mutation detection from liquid biopsy samples using the 6-color Crystal Digital PCR™ [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 75.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".