Subcellular Protein Expression of Annexin A1 (ANXA1) in Different Types of Cancer
Bibliographic record
Abstract
Annexin A1 (ANXA1) is a Ca2+‐regulated phospholipid‐binding protein involved in several physiological functions. Further research has shown that this protein might have various roles in cancer development and operate at different levels. This is partially related to the placement of ANXA1 in distinct cellular compartments. ANXA1 is maybe nuclear, cytoplasmic, and membrane‐associated. The goal of this study has been to analyze ANXA1 subcellular localization and expression in different types of cancer. Methods We examined 1295 data sets available in The Human Protein Atlas (HPA) (HPA). The research examined the ANXA1 expression in tissue from 1130 cancer and 165 normal samples. A visual categorization method based on staining intensity (I), the proportion of stained cells (F) (F). ANXA1 expression levels as a function of subcellular localization. Q Score (product of E*I) was calculated by the fraction of stained cells (F) and the intensity (I) (I) Results In cancer patients, the predominant subcellular localization was cytoplasmic membranous (53.3 %), whereas, in healthy individuals, the principal was cytoplasmic membranous and nuclear (57.0 %). In terms of staining intensity (Q Score), the highest values were found at the cytoplasmic membranous and nuclear levels (Q Score=5.69). In contrast, the highest Q Score values were found in standard samples at the nuclear level (Q Score=6.0). Conclusion The subcellular localization of ANXA1 expression may be a helpful diagnostic marker in various cancer types.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.001 | 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 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".