Abstract 5190: GnRH promotes peritoneal adhesion and dissemination of ovarian cancer cells
Bibliographic record
Abstract
Abstract Ovarian cancer has the highest mortality of all gynecological cancers. It is often diagnosed at a late stage characterized by widespread peritoneal dissemination and malignant ascites. A key initial step in metastasis is the adhesion of ovarian cancer cells to the peritoneal mesothelium and extracellular matrix (ECM). Gonadotropin-releasing hormone (GnRH) receptor is present in 80% of ovarian carcinomas and its role in ovarian cancer cell migration/invasion has recently been revealed. Here, we show for the first time a role for GnRH in promoting ovarian cancer cell adhesion to the peritoneum. We observed that GnRH agonist (GnRHa)-stimulated cells were able to adhere to the peritoneal mesothelium efficiently. Moreover, the expression of integrins (α2, α5 and β1) in ECM recognition for collagen I, laminin, and fibronectin were upregulated and activated by GnRHa. The adhesion of ovarian cancer cells to the mesothelium/ECM components activated by GnRHa could be blocked by neutralizing antibodies to α2, α5 and β1 integrin. Knockdown of the GnRH receptor using small interfering RNA significantly abrogated the GnRH-induced cell adhesion and integrin expression, confirming that these effects were GnRH receptor specific. Furthermore, we showed that downregulation of β1 integrin and GnRH receptor with short hairpin RNA-mediated gene silencing significantly reduced ascites formation and intra-abdominal metastasis in intraperitoneal xenografts of human ovarian cancer in nude mice. These results indicate that GnRH may play a critical role in the peritoneal adhesion and dissemination of ovarian carcinomas and could be a promising target in ovarian cancer (This work is supported by the Hong Kong Research Grants Council Grant HKU778108 to A.S.T.W.). Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5190.
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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) | 0.004 | 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".