Abstract 390: Impact of loss of <i>IGF2</i> genomic imprinting on IGF1R signaling and cancer stem cell-associated biomarkers in gastric cancer
Notice bibliographique
Résumé
Abstract Aim: To investigate the association between loss of genomic imprinting (LOI) of insulin-like growth factor 2 (IGF-2) gene and the expressions of genes related with insulin-like growth factor type I receptor (IGF1R) signaling and the cancer stem cell associated genes (CD133 and Musashi I), in gastric cancer (GC) and its adjacent normal mucosa in GC patients with and without IGF-2 LOI. Patients and methods: Patients with pathological diagnosis of GC and underwent surgical resection in Department of Surgery of Potuo Hospital from 2006 to 2012 were recruited. Demographic and clinical pathological data were retrieved from medical records. The IGF-2 genomic imprinting status was determined by PCR and RT-PCR followed by restrictive endonuclease (Apa I) digestion. mRNA expression of IGF1R was evaluated with reverse transcription and real time PCR. Protein expressions of IGF-2, IGF1R, phosphorylated Akt (Ser-473), CD133, and Musashi 1 in tumor and adjacent mucosa were detected by immunohistochemical staining on tissue sections cut from formalin fixed and paraffin embedded cancer tissue blocks. All staining results were assessed by a qualified pathologist and marked as positive or negative. Statistical analysis was done by using SPSS (19.0) with a significant level of p<0.05. Results:Fifty patients were found to be LOI positive, while 25 patients were LOI negative. Of 50 LOI positive patients, 48 (96%) were in advanced stage, in contrast, there were 20 patients were in advanced stage among 25 LOI negative patients (80%)(p<0.05). The positive rate of IGF1R in tumor was significantly higher in LOI positive patients (50%) as compare to LOI negative patients (16.0%)(p<0.05). Unexpectedly, the tumor mRNA expression of IGF1R in LOI positive patients was significantly lower than that in LOI negative patients (6.99±1.58 vs. 8.06±1.64, p<0.01). The positive rates of CD133 in tumors were significantly higher in patients with LOI than those without (84.0% vs. 42.0%) (p<0.05). Fifty percent of adjacent mucosa samples (25/50) from LOI positive patients were Misashi I positive, lower than that (76%, 19/25) in LOI negative patients (p<0.05). There was no difference of the protein expressions of IGF-2, phosphorylated Akt (Ser-473), IGF1R and CD133 in mucosa, and Musashi I in tumor between the patients with and without LOI. Conclusion: The significant association of IGF-2 LOI to protein expression of IGF1R, and certain cancer stem cell markers in tumor or adjacent mucosa indicates LOI may play important role in cancer initiation and could be a useful marker for clinical screening of high risk individuals and early diagnosis. The disparity of IGF1R protein and mRNA expression in tumor suggested that some post transcription factor may regulate the final IGF1R protein expression, which remained to be further studied. Citation Format: Teng Chen, Ronghua Zhao, Qinsong Zuo, Chao Chen, Menfan Li, Dianxu Feng, Han Cai. Impact of loss of IGF2 genomic imprinting on IGF1R signaling and cancer stem cell-associated biomarkers in gastric cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 390. doi:10.1158/1538-7445.AM2014-390
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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».