MétaCan
Menu
← Back to cohort
Record W2318102135 · doi:10.1158/1538-7445.am2012-3018

Abstract 3018: Gonadotropin-releasing hormone type II (GnRH-II) agonist regulates the invasiveness of endometrial cancer cells through GnRH-I receptor and mitogen-activated protein kinases (MAPKs)-dependent activation of matrix metalloproteinase (MMP)-2

2012· article· en· W2318102135 on OpenAlexaff
Hsien‐Ming Wu, Angel Chao, Tzu‐Hao Wang, Hsin‐Shih Wang, Hong-Yuan Huang, Chyi‐Long Lee, Yung‐Kuei Soong, Peter C. K. Leung

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAgonistEndometrial cancerMotilityInternal medicineCancer researchAngiogenesisMetastasisEndocrinologyGonadotropin-releasing hormoneReceptorKinaseMAPK/ERK pathwayMedicineCancerBiologyChemistryLuteinizing hormoneHormoneCell biology

Abstract

fetched live from OpenAlex

Abstract Introduction: More than 25% of patients diagnosed with endometrial carcinoma have an invasive primary cancer accompanied by metastases. The GnRH has an important role in reproduction. In mammals, GnRH-II is more widely identified than GnRH-I in peripheral tissues. GnRH-II may regulate tumor progression of endometrial cancer. MAPKs have been considered important components of GnRH-induced signaling pathways. MMPs are largely implicated in promoting angiogenesis and tumor metastasis. In the present study, we examined the action of GnRH-II agonist-promoted motility of endometrial cancer cells and the mechanisms of the action in endometrial cancer. Materials and methods: Endometrial cancer cell line Ishikawa and ECC-1 were derived from an endometrial adenocarcinoma. D-Arg6, AzaGly10-GnRH II was a synthetic decapeptide. Cell motility was estimated by invasion and migration assay. The activities of MMP-2 was assessed by gelatin zymography. Immunoblot analysis was done to study the expression of GnRH-I receptor and the effects of GnRH-II agonist in the activation of ERK1/2, JNK and MMP-2. ERK1/2 inhibitor (U0126), and JNK inhibitor (SP600125) were pretreated for 30 min to evaluate the effects of MAPKs. MMP-2 inhibitor (OA-Hy) was pretreated for 30 min to evaluate the effects of MMP-2 in cell motility. Human GnRH-I receptor siRNA was used to knock down the expression of GnRH-I receptor. Results: The GnRH-I receptor was expressed in endometrial cancer cells. The GnRH-II agonist promoted cell motility in a dose-dependent manner. GnRH-II agonist activated the phosphorylation of ERK1/2 and JNK signaling and the phosphorylation was abolished by 1μM U0126 and 1μM SP600125. GnRH-II agonist-promoted cell motility was suppressed in cells pretreated with U0126 and SP600125. Moreover, U0126 and SP600125 abolished GnRH-II agonist-induced activation of MMP-2. Inhibition of MMP-2 with 10μM OA-Hy suppressed cell motility in response to GnRH-II agonist. GnRH-II agonist-mediated cell motility was suppressed by knockdown of endogenous GnRH-I receptor with siRNA. Conclusion: Our results confirmed that GnRH-I receptor may be a common receptor that mediates the effects of both GnRH-I and GnRH-II in endometrial cancer cells. Our study shows that the GnRH-II agonist promoted the cell motility of endometrial cancer cells through the GnRH-I receptor, and the phosphorylation of ERK1/2 and JNK-dependent activation of MMP-2. Our findings represent a new concept regarding the mechanisms of GnRH-II-promoted cell motility in endometrial cancer cells, suggesting the possibility of GnRH-II as a potential therapeutic intervention for the treatment of human endometrial cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3018. doi:1538-7445.AM2012-3018

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.042
GPT teacher head0.348
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicEstrogen and related hormone effects→French-language works237,207→