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一种新型长链非编码 RNA RP11-386G11.10 重编程脂质代谢促进肝癌进展。

A novel lncRNA RP11-386G11.10 reprograms lipid metabolism to promote hepatocellular carcinoma progression.

机构信息

Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.

出版信息

Mol Metab. 2022 Sep;63:101540. doi: 10.1016/j.molmet.2022.101540. Epub 2022 Jul 5.

DOI:10.1016/j.molmet.2022.101540
PMID:35798238
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9287641/
Abstract

OBJECTIVE

Emerging studies suggest that long non-coding RNAs (lncRNAs) play crucial roles in hepatocellular carcinoma (HCC). A rapidly increasing number of studies have shown that metabolic changes including lipid metabolic reprogramming play a significant role in the progression of HCC. But it remains to be elucidated how lncRNAs affect tumor cell metabolism.

METHODS

Through analysis and screening of The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset, we found a novel lncRNA RP11-386G11.10 was overexpressed, related to prognosis, conserved and non-protein-coding in HCC and related to poor prognosis. Then, CCK-8, colony formation, Transwell invasion, wound healing assays were performed and nude mouse subcutaneous tumour formation and lung metastasis models were established to explore the effect of RP11-386G11.10 on HCC tumour growth and metastasis. Chromatography-mass spectrometry (GC-MS) and Nile red staining detected the effect of RP11-386G11.10 on lipid metabolism in HCC. Mechanistically, we clarified the RP11-386G11.10/miR-345-3p/HNRNPU signalling pathway through dual luciferase reporter, RNA immunoprecipitation (RIP) and chromatin immunoprecipitation (ChIP) assays and identified ZBTB7A as a transcription factor of RP11-386G11.10.

RESULTS

RP11-386G11.10 was overexpressed in HCC and positively correlated with tumour size, TNM stage, and poor prognosis in HCC patients. RP11-386G11.10 promoted the proliferation and metastasis of HCC cells in vitro and in vivo. Mechanistically, RP11-386G11.10 acted as a competing endogenous RNA (ceRNA) for miR-345-3p to regulate the expression of HNRNPU and its downstream lipogenic enzymes, leading to lipid accumulation in HCC cells and promoting their growth and metastasis. In addition, we identified ZBTB7A as a transcription factor of RP11-386G11.10. Moreover, HNRNPU promoted the expression of ZBTB7A in HCC cells, thereby increasing the transcriptional activity of RP11-386G11.10, and forming a positive feedback loop, ultimately leading continuous lipid accumulation, growth and metastasis in HCC cells.

CONCLUSIONS

Our results indicated that the lncRNA RP11-386G11.10 was a novel oncogenic lncRNA that was strongly correlated with the poor prognosis of HCC. The ZBTB7A-RP11-386G11.10-HNRNPU positive feedback loop promoted the progression of HCC by regulating lipid anabolism. RP11-386G11.10 may become a new diagnostic and prognostic biomarker and therapy target for HCC.

摘要

目的

新兴研究表明,长非编码 RNA(lncRNA)在肝细胞癌(HCC)中发挥关键作用。越来越多的研究表明,代谢变化包括脂质代谢重编程在 HCC 的进展中起着重要作用。但是,lncRNA 如何影响肿瘤细胞代谢仍有待阐明。

方法

通过对癌症基因组图谱-肝肝细胞癌(TCGA-LIHC)数据集的分析和筛选,我们发现一种新型 lncRNA RP11-386G11.10 在 HCC 中过度表达,与预后相关,保守且无蛋白编码,并与不良预后相关。然后,进行 CCK-8、集落形成、Transwell 侵袭、划痕愈合测定,并建立裸鼠皮下肿瘤形成和肺转移模型,以探讨 RP11-386G11.10 对 HCC 肿瘤生长和转移的影响。通过色谱-质谱(GC-MS)和尼罗红染色检测 RP11-386G11.10 对 HCC 脂质代谢的影响。通过双荧光素酶报告、RNA 免疫沉淀(RIP)和染色质免疫沉淀(ChIP)测定,我们阐明了 RP11-386G11.10/miR-345-3p/HNRNPU 信号通路,并确定 ZBTB7A 是 RP11-386G11.10 的转录因子。

结果

RP11-386G11.10 在 HCC 中过度表达,并与 HCC 患者的肿瘤大小、TNM 分期和不良预后呈正相关。RP11-386G11.10 促进 HCC 细胞在体外和体内的增殖和转移。机制上,RP11-386G11.10 作为 miR-345-3p 的竞争性内源 RNA(ceRNA),调节 HNRNPU 及其下游生脂酶的表达,导致 HCC 细胞中脂质积累,并促进其生长和转移。此外,我们确定 ZBTB7A 是 RP11-386G11.10 的转录因子。此外,HNRNPU 促进 HCC 细胞中 ZBTB7A 的表达,从而增加 RP11-386G11.10 的转录活性,并形成正反馈环,最终导致 HCC 细胞中持续的脂质积累、生长和转移。

结论

我们的研究结果表明,lncRNA RP11-386G11.10 是一种新型致癌 lncRNA,与 HCC 的不良预后密切相关。ZBTB7A-RP11-386G11.10-HNRNPU 正反馈环通过调节脂质合成代谢促进 HCC 的进展。RP11-386G11.10 可能成为 HCC 的新的诊断和预后标志物和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/6b208bc70c03/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/3940b722c389/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/512410d4b8ef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/14ac8fd3ec84/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/14e9169661e0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/afa868fe4daa/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/45a0bbe8a1e8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/57e50270d5fa/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/6b208bc70c03/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/3940b722c389/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/512410d4b8ef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/14ac8fd3ec84/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/14e9169661e0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/afa868fe4daa/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/45a0bbe8a1e8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/57e50270d5fa/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b480/9287641/6b208bc70c03/gr8.jpg

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