Abstract A25: Dysregulation of MYC via STAT1 promotes tumor progression in serous papillary endometrial cancer
Notice bibliographique
Résumé
Abstract Serous papillary endometrial cancers (SPEC) harboring several genetic alterations, such as TP53 mutation, are known highly progressive with worse prognosis compared with endometrioid counter-part, but it still remains unclear which molecular pathway is responsible for their unfavorable features. The IFN-γ; transcription factor signal transducer and activator of transcription 1 (STAT1) has been considered as a tumor suppressor with transcription-dependent and transcription-independent mechanisms, but recent studies showed STAT1 was associated with poor prognosis, and was involved in maintaining basal expression of tumor pro-survival STAT3 target genes, such as MYC, with unclear mechanism in some cancers. A previous report of the cancer genome atlas (TCGA) indicated MYC amplification in some SPECs; as MYC is known to be maintained also by STAT1, we investigate the role of STAT1-MYC axis in the malignant features of SPECs. Gene expression microarray was conducted for 63 endometrial cancer samples and SPEC cell line, SPAC-1L. Immunohistochemical staining were conducted using endometrial cancer samples under protocols approved by the Institutional Review Board to investigate SPEC-specific pathways (Kyoto cohort: n=91, Vancouver cohort: n=462). Using SPAC-1L cell line, several functional assay in vitro such as cellular proliferation, migration, invasion and apoptosis under treatment of cisplatin, doxorubicin, and paclitaxel were assessed with or without suppressing target genes. In vivo tumorigenesis was performed in mouse model and some computational analysis were done in silico. Gene expression microarray analysis revealed STAT1 pathway was commonly activated in SPECs both in our dataset and TCGA dataset as a key molecule of ‘SPEC signature’. In two independent cohorts, STAT1 expression was confirmed significantly higher in SPECs (p<0.001), and the disease specific survival of EC with high STAT1 expression was worse than those with low STAT1 expression (p<0.05). We found that STAT1 regulates MYC as well as ICAM1, PD-L1, and SMAD7, as well as the capacity for proliferation, adhesion, migration, invasion, and in vivo tumorigenecity in cells with a high SPEC signature. In contrast, suppression of STAT1 attenuated induction of these genes and inhibited xenograft tumor growth on NOD-SCID mice. Furthermore, suppressing STAT1 expression by shRNA sensitized SPEC cells to cisplatin. In STAT1 suppressed cells, apoptosis and cleaved caspase3 expression was confirmed even under low dose cisplatin treatment (p<0.05). Based on silico analysis using cBioPortal, we found amplification of MYC and up-regulated of MYC mRNA in 42% SPECs. The 227 up-regulated genes in the SPEC signature harbor the MYC binding site motif by GATHER analysis (p<0.001), and the predictive MYC activity signature score was statistically higher in SPECs than in other subtypes of endometrial cancers, while that in SPAC-1L cells was diminished with STAT1 knockdown. These results indicate that STAT1 pathway modulates the micro-environment of SPECs in deregulating MYC, as well as other target genes, to promote tumor progression. Furthermore, STAT1-MYC axis could be developed as a novel potential target for molecular targeting therapy in SPECs. Citation Format: Budiman Kharma, Tsukasa Baba, Noriomi Matsumura, Ryusuke Murakami, Ken Yamaguchi, Junzo Hamanishi, Masaki Mandai, Ikuo Konishi. Dysregulation of MYC via STAT1 promotes tumor progression in serous papillary endometrial cancer. [abstract]. In: Proceedings of the AACR Special Conference on Myc: From Biology to Therapy; Jan 7-10, 2015; La Jolla, CA. Philadelphia (PA): AACR; Mol Cancer Res 2015;13(10 Suppl):Abstract nr A25.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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) | 0,000 | 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 tête enseignante, 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 ».