Bibliographic record
Abstract
BACKGROUND: Invasive solid cancers originating from diverse organs like breast, ovary and lung metastasize to distant sites. The structural changes at the primary sites of these high-grade tumors have not been well characterized. The main aim of the current study was to examine if there is any morphological overlap of metastasizing tissues of different invasive tumors. METHODS: Whole slide hematoxylin and eosin (H&E) stained images from web repository of multiple tumor specimens were used for this study. ImageJ was used for image processing and analysis. RESULTS: The metastatic tissue(s) at the primary sites of different examined high-grade tumors appeared similar, irrespective of the organ of origin of the primary tumor. Numerous cellular excrescences with the repetitive appearance of a bulb-like projection with a narrowed-off trailing end were seen emanating from the tumor cell membrane. Many of them contained nuclei, while others were empty vesicles. Although these structures were not exactly equal in their dimensions, the rubrics of architectural distortion in different high-grade tumors were conserved. CONCLUSIONS: The preliminary observations suggest for the first time that there is structural similarity of the epithelial dysmorphia in many high-grade invasive tumors irrespective of their parental tissue of origin. This commonality of morphological prints of metastases suggests that common pathways of cytosolic force generation are activated during temporal progression of cancer, resulting in the conserved mushroom-shaped appearance of the dismantling individual cell or cell clusters from the parental epithelium. The conserved genomic mechanisms underlying these fascinating observations merit testing and validation in future studies.
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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 | 0.001 | 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) | 0.002 | 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".