Ki-67 Membranous Staining: Biologically Relevant or an Artifact of Multiplexed Immunofluorescent Staining
Bibliographic record
Abstract
In the process of developing a multiplex of 8 common breast cancer biomarkers (Her2/neu, estrogen receptor, progesterone receptor, Ki-67, aldehyde dehydrogenase-1, NaK-ATPase, cytokeratin 8/18, and myosin smooth muscle) on a single formalin-fixed paraffin-embedded slide using a sequential staining, imaging, and dye bleaching technology developed by General Electric Company, membranous Ki-67 staining was observed and colocalized with Her2/neu staining. Using immunohistochemistry as gold standards, we discovered that membranous Ki-67 was an artifact caused by the binding of cyanine 5-conjugated rabbit polyclonal Ki-67 antibody to a secondary cyanine 3-conjugated donkey anti-rabbit antibody which was previously applied and bound to rabbit Her2/neu antibody in our multiplexing experiment. After blocking with rabbit serum, a successful protocol for 8 biomarker multiplexing without cross-reactivity of antibodies from the same species was developed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".