Abstract LB-41: Regulation of adhesion, motility, and invasion by insulin-like growth factor-2 binding protein 3 in pancreatic cancer cells
Notice bibliographique
Résumé
Abstract Background: Overexpression of insulin-like growth factor 2 mRNA binding protein 3 (IGF2BP3 or IMP3), a member of the VICKZ family of RNA-binding proteins, has been correlated with poor prognosis in pancreatic cancer and other cancer types, including lung, bladder, kidney, liver, and prostate. In human leukemia cells as well as in HeLa and hepatocellular carcinoma cells, IMP3 has previously been shown to regulate a number of cellular functions. However, the role of this oncofetal protein in pancreatic cancer progression remains to be elucidated. In the present study, we characterized the effect of IMP3 inhibition on the proliferation, motility, adhesion, and invasive potential of pancreatic cancer cells. Methods: IMP3 levels in Panc-1 and Hs766T were decreased through RNA interference. Untreated and scramble-siRNA transfected cells were used as controls. The effect of knockdown on cellular behavior was evaluated 48 h after transfection. Proliferation was assessed using the MTS assay, while a commercially-available colorimetric assay was used to assess adhesion to extracellular matrix proteins. Motility and invasive potential were evaluated using the Boyden chamber assay. Data were analyzed using repeated measures ANOVA. Significant F ratios were further examined using the Tukey post-hoc test. Results: The basal levels of IMP3 were found to be similar in Panc1 and Hs766T cells. IMP3 siRNA knockdown reduced IMP3 protein levels by 48% relative to scramble siRNA control. In both cell lines, a decrease in IMP3 did not significantly affect proliferation when compared to scramble siRNA-treated control. Interestingly, knockdown of IMP3 reduced the adhesion of Hs766T to fibronectin (20%; P < 0.05), tenascin (23%; P < 0.05), collagen IV (30%; P < 0.01), laminin (18%; P < 0.01), and vitronectin (51%, P < 0.01) relative to scramble siRNA control. Adhesion of Hs766T to collagen I and collagen IV) was unaffected. Moreover, relative to scramble siRNA control, the suppression of IMP3 expression in Hs766T reduced motility by 30% (P < 0.05) and cellular invasion through Matrigel by 80% (P < 0.05). In contrast, knockdown of IMP3 did not alter the adhesion, motility, and invasive potential of Panc1 cells compared to scramble siRNA control. Conclusion: Our preliminary results demonstrated that IMP3 differentially regulates cellular adhesion and invasive potential of pancreatic cancer cell lines, suggesting that this oncofetal protein may play a role in tumor metastasis. In line with this hypothesis, we are currently examining the role of IMP3 in regulating the phenotype of L3.6pl, a pancreatic cancer cell line characterized to exhibit metastatic potential. In addition, studies are currently underway to identify the downstream molecular target(s) of IMP3 that may mediate metastasis of pancreatic cancer cells. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-41. doi:10.1158/1538-7445.AM2011-LB-41
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».