Transformation of NIH3T3 mouse fibroblast cells by MUC16 mucin (CA125) is driven by its cytoplasmic tail
Bibliographic record
Abstract
MUC16 (CA125) is a transmembrane mucin that contributes to the progression of epithelial ovarian cancer (EOC). Expression of MUC16 is not detectable in the epithelial surface of normal ovaries. MUC16 expression is, however, common in serous EOC as well as in metastatic and recurrent tumors. Despite these observations, its contribution to the development of EOC is unknown. We stably expressed either empty vector, MUC16 C-terminal domain (MUC16 CTD) or MUC16 TMU (a construct that lacks the cytoplasmic tail) in NIH3T3 mouse fibroblast cells. In this study, we provide evidence for the role of MUC16 CTD in oncogenic transformation. We show that ectopic expression of MUC16 CTD enhances the growth of NIH3T3 cells under normal and low serum conditions, and promotes anchorage-dependent colony formation. The deletion of the cytoplasmic tail abrogated these effects. MUC16 CTD expression in NIH3T3 cells also enhances the formation of colony in soft agar as compared to MUC16 TMU. MUC16 CTD expression enhances tumor formation in nude mice. Our findings provide the first evidence that MUC16 induces the transformation of NIH3T3 cells and indicate that MUC16 functions as an oncogene. Furthermore, our data suggest that the cytoplasmic tail is critical for MUC16 oncogenic properties.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".