CytoLyt® Fixation and Decalcification Pretreatments Alter Antigenicity in Normal Tissues Compared With Standard Formalin Fixation
Why this work is in the frame
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Bibliographic record
Abstract
Immunohistochemistry is used on cell blocks constructed from cytopathology samples fixed in methanol-based fixatives, such as CytoLyt (Cytyc Corp), and on surgical pathology tissues exposed to decalcifying agents, often without technical validation. We evaluated a panel of commonly utilized antibodies in normal tissues exposed to differing preanalytic conditions as follows: CytoLyt fixation, formalin fixation followed by exposure to decalcifying agents (Leica Decalcifier I-10% formic acid or Leica Decalcifier II-5% hydrochloric acid), or standard formalin fixation. Altered expression was observed with several antibodies compared with standard formalin fixation. Specifically, there was absent or near absent expression of thyroid transcription factor 1 (TTF-1), D2-40, and CD20 in CytoLyt-fixed tissues, whereas reduced expression was observed for p63, estrogen receptor, S100 protein, CD3, calretinin, chromogranin, and synaptophysin. Absent or near absent expression of TTF-1 was also observed with exposure to hydrochloric acid, whereas reduced expression was observed for CK5/6, CK7, p63, estrogen receptor, leukocyte common antigen, CD3, CD20, and synaptophysin. Exposure to formic acid had less impact with reduced expression observed for only 3 antibodies (CK8/18, CK7, and TTF-1). The results of this study demonstrate the need to validate immunohistochemical protocols on control tissue treated in the same manner as test tissue, including CytoLyt fixation and exposure of tissue to decalcifying agents.
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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 it