Background: Accumulated evidences have demonstrated that long non-coding RNAs (lncRNAs) are dysregulated and correlate with the pathophysiological basis of malignant tumors. The objective of this research is to uncover the possible molecular mechanism of MACC1-AS1 regarding the regulation of pancreatic carcinoma (PC) metastasis.
Methods: lncRNA microarray and qRT-PCR were applied to identify differentially expressed lncRNA profile in PC. The function and role of MACC1-AS1 in PC were assessed via in vitro as well as in vivo assays. Luciferase analyses, RNA immunoprecipitation, and RNA pull-down were performed to determined the underlying MACC1-AS1 mechanisms.
Results: Numbers of differentially expressed lncRNAs in PC were identified via lncRNA microarrays, among which MACC1-AS1 was revealed as the most abundant lncRNA. The upregulation of MACC1-AS1 in PC was further confirmed in two expanded PC cohorts, which showed that MACC1-AS1 expression was upregulated in those PC patients with poor survival. Functionally, knockdown of MACC1-AS1 inhibited the proliferation as well as metastasis of PC cells. Meanwhile, MACC1-AS1 upregulated the expression of PAX8 protein, which promoted aerobic glycolysis and activated NOTCH1 signaling. Additionally, PAX8 was upregulated in PC tissues, which was correlated with the expression of MACC1-AS1 and the overall survival of PC patients.
Conclusions: Together, our findings indicate a critical role of MACC1-AS1/PAX8/NOTCH1 signaling, which may be an alternative treatment target in PC therapy.
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http://dx.doi.org/10.1186/s13046-019-1332-7 | DOI Listing |
Int J Biol Macromol
November 2024
Department of Thoracic Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China. Electronic address:
As reported, long non-coding RNAs (lncRNAs) have been confirmed to be of great importance in regulating the progression of diseases, especially of cancers. LncRNA MACC1 antisense RNA 1 (MACC1-AS1) has been studied in some cancers, whereas its biological role and underlying mechanism is still unclear in small cell lung cancer (SCLC). In the current research, we found high level of MACC1-AS1 in SCLC cells.
View Article and Find Full Text PDFCell Death Discov
February 2024
Hepatopancreatobiliary Surgery Department, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Pancreatic ductal adenocarcinoma (PDA) mortality is primarily attributed to metastasis and chemotherapy resistance. In this research, the long non-coding RNA MACC1-AS1 was studied, playing a significant role in regulating lipid oxidation processes. This regulation could further lead to the inhibition of ferroptosis induced by chemotherapeutic drugs, making it a contributing factor to gemcitabine resistance in PDA.
View Article and Find Full Text PDFiScience
September 2023
Department of Pathophysiology, Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong Province 515041, China.
is a master oncogene involved in multiple aspects of cancer metastasis in a broad variety of tumors. However, the molecular mechanism by which transcription is regulated remains unclear. Here, we show that in breast cancer cells, lncRNA MACC1-AS1 serves as a -factor to up-regulate transcription and this regulation increases the cell proliferation potential.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
July 2023
Department of Hepatobiliary & Pancreatic Surgery, Ningbo First Hospital, No. 59 Liuting Street, Haishu District, Ningbo, 315000, Zhejiang Province, China.
Noncoding RNA Res
September 2022
Department of Pathophysiology, The Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong Province, 515041, China.
Background: Increasing studies have shown that lncRNAs often play roles through interaction with miRNAs to control gene expression by inhibiting translation or facilitating degradation of target mRNAs. Here, we report that two lncRNAs, MACC1-AS1 and UCA1 are coordinately expressed in breast cancer cells and share the ability to interact with multiple miRNAs to mediate the expression of different genes.
Methods: Targetscan, starBase and miRDB databases were used to predict the relationships of MACC1-AS1/UCA1-miRNA-mRNA network.
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