OC 46.1 Absolute Quantitative Proteomics for Occult Cancer Screening in Patient with Unprovoked Venous Thromboembolism: Results from the Prospective PLATO-VTE Study
Bibliographic record
Abstract
Background: Coagulopathy with associated bleeding and venous thromboembolism (VTE) is a major cause of early morbidity and mortality in patients with acute leukemia.However, the mechanisms leading to bleeding and VTE have not been fully elucidated.Aims: Compare levels of plasma biomarkers in the coagulation and fibrinolytic pathways and, neutrophil extracellular trap formation in adult patients with acute promyelocytic leukemia (APL), acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) with a healthy control population.Evaluate the associations between biomarker levels and bleeding and VTE in acute leukemia patients.Methods: Plasma samples were obtained from 29 APL, 253 AML, and 76 ALL patients and clinical data were abstracted medical records.Plasma was obtained from 30 age-, sex-, and race-matched-healthy individuals.Extracellular vesicle (EV) tissue factor (TF) activity and citrullinated histone H3-DNA complex were measured using in-house assays.Phosphatidylserine-positive EVs, cell-free DNA, plasmin-antiplasmin complex, tissue plasminogen activator (tPA) and active plasminogen activator inhibitor-1 (PAI-1) were measured using commercial assays.The association between biomarkers and bleeding/VTE was examined using proportional sub-distribution hazards regression analysis.Biomarkers were considered as tertiles and adjusted for age, sex, and race.Sub-analyses were performed for AML patients.Results: APL patients had the highest levels of EVTF activity.ALL patients had the highest levels of cell-free DNA.Increased EVTF activity (HR 2.33, 95%CI: 1.08-5.04,p = 0.03) was associated with bleeding in all leukemia patients, and in AML patients (HR 2.73, 95%CI: 1.04-7.17,p = 0.04).Increased active PAI-1 level was associated with VTE in all leukemia patients (HR 3.40, 95%CI: 1.33-8.70,p = 0.01) and in AML patients (HR 3.61,, p = 0.04).We found that tPA level (HR 0.50, 95%CI: 0.25-0.98,p = 0.04) was associated with lower VTE risk in all leukemia patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".