Rapid pan-cancer detection <i>via</i> label-free impedance profiling of cell-free DNA
Bibliographic record
Abstract
Aberrant DNA methylation is a hallmark of cancer, and plasma cell-free DNA (cfDNA) containing these abnormal methylation patterns has emerged as a promising non-invasive biomarker for pan-cancer detection. However, intrinsic challenges remain that continue to limit its broad clinical application. Here, we show a simple and rapid impedance-based bioassay called Asima Rev that can detect cancer cfDNA in under 5 min without the need for any molecular labelling, electrode modification, signal amplification, or target enrichment steps. Using 216 clinical samples (50 healthy) from 15 different cancer types (all stages), we show an overall sensitivity and specificity of 96.4% and 94.0%, respectively. Differences in methylation content between cancerous and healthy cfDNA lead to distinct solvation behaviour and electro-physicochemical properties that remain consistent across cancer types regardless of the distribution patterns of methyl cytosine. Our test exploits this inherent difference.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".