Flow Cytometric Detection of ZAP-70 in Chronic Lymphocytic Leukemia: Correlation With Immunocytochemistry and Western Blot Analysis
Bibliographic record
Abstract
CONTEXT: Expression of ZAP-70 in chronic lymphocytic leukemia (CLL) predicts worse clinical outcome in patients with early-stage disease. It has become important to include ZAP-70 in the immunophenotyping panel used to diagnose CLL, commonly performed by flow cytometry (FC). Nevertheless, the methodology used to detect ZAP-70 by FC has not been extensively evaluated. OBJECTIVE: To describe our FC method for detecting ZAP-70 in CLL and assess whether this assay is useful in estimating the ZAP-70 protein level in CLL cells. DESIGN: ZAP-70 expression was assessed by FC in 45 consecutive newly diagnosed CLL patients, and the results were correlated with those of immunocytochemistry and Western blot analysis. RESULTS: With >25% ZAP-70-positive B cells as the cutoff, the FC results had a perfect concordance with those of immunocytochemistry (39/39, 100%) and Western blot analysis (7/7, 100%). The use of autofluorescence controls was found to be superior to other alternatives. Overall, 19 (42%) of 45 cases were ZAP-70 positive in our series. Since only 7 cases (16%) had >20% to 30% ZAP-70-positive B cells, the cutoff of >25% readily separated CLL into positive and negative groups in most cases. ZAP-70 positivity was significantly associated with atypical morphology but not other laboratory parameters evaluated. CONCLUSIONS: With proper specimen processing and the use of directly fluorescence-conjugated anti-ZAP-70 antibody, one can readily incorporate ZAP-70 into the routine FC study panel for CLL. Our data suggest that FC is a rapid and useful method to estimate the ZAP-70 protein expression level in CLL.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| 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".