Effects of Retinoic Acid and Bromodeoxyuridine on Human Melanoma-Associated Antigen Expression in Small Cell Lung Carcinoma Cells
Bibliographic record
Abstract
The dispersed neuroendocrine system includes cells with different embryological derivations, sharing a common neuroendocrine (NE) program, as indicated by the expression of NE markers, some of which are shared antigenic determinants. We report here that the small cell lung carcinoma cells NCI-H69 express the two human melanoma-associated antigens (HMAA) NGA/LS62 an LS109. Incubation of NCI-H69 cells with maturational inducers, such as retinoic acid and bromodeoxyuridine (BrdU), upregulated the expression of both HMAA. Exposure to BrdU for 4 weeks induced the appearance of a different phenotype in subpopulations of NCI-H69 cells, which became epithelioid, substrate-adherent, grew in monolayer and continued to express NE-associated antigens in variable amount. The shift in phenotype was not reversible after BrdU withdrawal and was maintained for at least 6 months in continuous culture. The substrate adhesion of NCI-H69 cells was paralleled by a change in NGA glycosylation pattern, thus suggesting a possible functional role for NGA in cell substrate adhesion/recognition.
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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 | 0.000 | 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) | 0.001 | 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".