NRF1-Induced lncRNA DDX11-AS1 Contributes to the Progression of Hepatocellular Carcinoma via Activating CA9 Expression and the MEK/ERK Pathway
Notice bibliographique
Résumé
Yingnan Li,1,2 Mengjiao Shi,1,3 Beibei Bie,4 Hongwei Tian,1,3 Jun Li,1,3 Zongfang Li,1– 3 Jin Sun1,3 1Department of General Surgery, National-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China; 2Center for Tumor and Immunology, The Precision Medical Institute, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710115, People’s Republic of China; 3Shaanxi Provincial Clinical Research Center for Hepatic & Splenic Diseases, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China; 4Department of Pharmacy, Medical School, Xi’an Peihua University, Xi’an, 710125, People’s Republic of ChinaCorrespondence: Zongfang Li, Department of General Surgery, National & Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, The Second Affiliated Hospital, Xi’an Jiaotong University, No. 157 West 5th Road, Xi’an, 710004, People’s Republic of China, Email lzf2568@xjtu.edu.cn Jin Sun, Department of General Surgery, National & Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, The Second Affiliated Hospital, Xi’an Jiaotong University, No. 157 West 5th Road, Xi’an, 710004, People’s Republic of China, Email jinsun2014@foxmail.comPurpose: DDX11 antisense RNA 1 (DDX11-AS1) has been recognized for its strong correlation with hepatocellular carcinoma (HCC). Nevertheless, the exact biological functions and fundamental molecular processes of DDX11-AS1 in HCC require further in-depth investigation.Methods: A comprehensive bioinformatics analysis was carried out to explore the expression of DDX11-AS1 and its clinical implication in HCC utilizing the TCGA data. qRT-PCR was employed to validate the expression of DDX11-AS1 in HCC tissues/cell lines. RNA fluorescence in situ hybridization (RNA-FISH) was used to observe the subcellular localization of DDX11-AS1 in HCC cells. Loss-of-function experiments, both in vitro and in vivo, were executed to elucidate the biological functions of DDX11-AS1 in HCC. RNA sequencing (RNA-seq) was employed to identify genes and signaling pathways potentially regulated by DDX11-AS1. Rescue experiments were conducted to validate that carbonic anhydrase IX (CA9) mediates DDX11-AS1 promoting HCC progression. The influence of nuclear respiratory factor 1 (NRF1) on the transcription of DDX11-AS1 was investigated through dual-luciferase reporter assays and ChIP-qPCR.Results: The increased expression of DDX11-AS1 is positively associated with several aggressive clinical characteristics (pathologic T stage, histologic grade, AFP level, and vascular invasion), and is closely linked to unfavorable outcomes in HCC patients, acting as a separate hazardous factor for overall survival. DDX11-AS1 is predominantly situated in the nucleus of HCC cells. DDX11-AS1 knockdown impeded the growth, migration, and invasion capabilities of HCC cells in vitro, and reduced the tumor enlargement in a subcutaneous mouse model. RNA-Seq unveiled that silencing DDX11-AS1 lessened the expression of CA9 and suppressed the activity of the MEK/ERK signaling cascade in HCC cells. Rescue experiments uncovered that CA9 acts as a downstream target facilitating the cancer-causing roles of DDX11-AS1 in HCC. Furthermore, DDX11-AS1 was revealed to be transcriptionally regulated by NRF1.Conclusion: DDX11-AS1, a NRF1-induced lncRNA, facilitates HCC development by upregulating CA9 expression and activating the MEK/ERK signaling cascade.Keywords: hepatocellular carcinoma, DDX11-AS1, CA9, MEK/ERK signaling, NRF1
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».