Nodal Induces Apoptosis and Inhibits Proliferation in Human Epithelial Ovarian Cancer Cells via Activin Receptor-Like Kinase 7
Bibliographic record
Abstract
Human epithelial ovarian cancer is the most lethal female cancer. Hormones and growth factors, including the TGF-beta superfamily, have been suggested to play a role in ovarian tumorigenesis. The biological effects of TGF-beta superfamily are mediated by type I and type II serine/threonine kinase receptors and by intracellular Smad proteins. Recently, we have cloned four transcripts of human activin receptor-like kinase 7 (ALK7), a type I receptor for Nodal. In this study, we have investigated the role of Nodal and ALK7 in four ovarian cancer cell lines, OV2008, C13*, A2780-s, and A2780-cp. Overexpression of Nodal resulted in a significant decrease in the number of metabolically active cells. This effect was mimicked by a constitutively active ALK7 (ALK7-ca) but blocked by dominant negative mutants of ALK7, Smad2, or Smad3. Transient transfection of Nodal and ALK7-ca significantly decreased X-linked inhibitor of apoptosis protein (Xiap) expression, activated both caspase-3 and caspase-9, and increased apoptosis as determined by Hoechst nuclear staining and flow cytometry. In addition, Nodal and ALK7-ca also inhibited cell proliferation as measured by 5-bromo-2'-deoxyuridine (BrdU) assays. Interestingly, the effects of Nodal and ALK7-ca were more potent in chemosensitive A2780-s cells than in its chemoresistant counterpart, A2780-cp cells. These findings demonstrate that Nodal induces apoptosis and inhibits proliferation via ALK7 and Smad2/3 and that the effect of Nodal-ALK7 on apoptosis may be mediated in part by the down-regulation of Xiap and activation of caspase-9 and caspase-3.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".