Abstract B050: Frequent monitoring of NSCLC immunotherapy using an mDETECT liquid biopsy reveals unexpected complexity and opportunities
Bibliographic record
Abstract
Abstract We have developed a version of our "methylation DETection of Circulating Tumour" DNA (mDETECT) assay that is able to sensitively and quantitatively monitor Non-Small Cell Lung Cancer (NSCLC). We used this assay to frequently assess the tumour burden of a small cohort (17 individuals) of patients undergoing first line monotherapy with pembrolizumab for metastatic disease. Patients were tested weekly or biweekly in the period immediately after initiation of treatment with radiological assessment being done at approximately 3 months. Radiologically non-responding patients showed constant or increased mDETECT levels over the 3 month time frame. Responding patients showed 2 different patterns, with some showing dramatically increasing mDETECT levels for a short period of time followed by a rapid decrease. Other responders showed an immediate decrease within the first few week of treatment. In both responder groups these decreases were associated with a longer term response. Continued monitoring did reveal eventual progression in some of these patients with increasing mDETECT levels being seen 4 to 6 months before radiological changes. In some non-responding patients complex responses were seen, with mDETECT levels varying significantly over time. In one non-responding patient the addition of carboplatin to their treatment regime did produce a temporary improvement in their mDETECT levels. Frequent assessment of tumour burden by a liquid biopsy such as mDETECT offers the opportunity to rapidly determine a patient's response to therapy and potentially modify treatments to improve responses. Citation Format: Christopher R Mueller, Keira Parr, Mihaela Mates, Andrew Robinson, Harriet Feilotter, Keira Frosst. Frequent monitoring of NSCLC immunotherapy using an mDETECT liquid biopsy reveals unexpected complexity and opportunities [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B050.
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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) | 0.000 | 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) | 0.006 | 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".