Cancer Manag Res. 2021 Aug 16;13:6451-6471. doi: 10.2147/CMAR.S322179. eCollection 2021.
Analysis of m6A-Related lncRNAs for Prognosis Value and Response to Immune Checkpoint Inhibitors Therapy in Hepatocellular Carcinoma.
Cancer management and research
Yi Wang, Na Li, Di Tian, Chang-Wu Zhou, You-Hua Wang, Chun Yang, Meng-Su Zeng
Affiliations
Affiliations
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China.
- Department of Orthopaedics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, People's Republic of China.
PMID: 34429653
PMCID: PMC8379396 DOI: 10.2147/CMAR.S322179
Abstract
INTRODUCTION: N6-methyladenosine (m6A) modification and long non-coding RNAs (lncRNAs) play pivotal roles in the progression of hepatocellular carcinoma (HCC). However, how their interaction is involved in the prognostic value of HCC and immune checkpoint inhibitors (ICIs) therapy remains unclear.
METHODS: The RNA sequencing and clinical data of HCC patients were collected from TCGA database. The prognostic m6A-related lncRNAs were screened out with Pearson correlation test, univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) Cox regression. Patients with HCC were classified into 2 subtypes by consensus clustering. Survival analyses were performed to assess the prognostic value of different clusters and risk models. Potential tumor correlated biological pathways correlated with different clusters were explored through gene set enrichment analysis. We also identified the relationship of the risk model and clusters with response to immune checkpoint inhibitors (ICIs) therapy and tumor microenvironment (TME). Furthermore, the prognostic value of the 9 m6A-related lncRNAs was validated in the external cohort. Finally, the role of SNHG4 was explored by silencing and overexpression of SNHG4 through conducting proliferation, migration and invasion experiments.
RESULTS: Patients from 2 clusters and different risk groups based on m6A-related lncRNAs had significantly different clinicopathological characteristics and overall survival outcomes. Tumor-correlated biological pathways were found to be correlated with Cluster 2 through GSEA. Moreover, we found that patients from different clusters and risk groups expressed higher levels of immune checkpoint genes and had distinct TME and different responses for ICIs therapy. Prognostic value of this risk model was further confirmed in the external cohort. Finally, consistent with the discovery, SNHG4 played an oncogenic role in vitro.
CONCLUSION: Our study demonstrated that the 9 m6A-related lncRNA signature may serve as a novel predictor in the prognosis of HCC and optimize (ICIs) therapy. SNHG4 plays an oncogenic role in HCC.
© 2021 Wang et al.
Keywords: N6-methyladenosine; hepatocellular carcinoma; immune checkpoints inhibitors therapy; long non-coding RNAs; prognosis
Conflict of interest statement
All authors state that they have no conflicts of interest.
References
- J Cell Physiol. 2019 Mar;234(3):2788-2794 - PubMed
- Mol Cancer. 2020 Mar 12;19(1):53 - PubMed
- Gene. 2020 Apr 5;733:144384 - PubMed
- Mol Cancer. 2019 Aug 29;18(1):130 - PubMed
- Nature. 2019 Feb;566(7743):270-274 - PubMed
- Mol Cancer. 2019 Dec 19;18(1):186 - PubMed
- Front Cell Dev Biol. 2019 Jun 28;7:116 - PubMed
- Neoplasma. 2019 May 23;66(3):397-404 - PubMed
- Oncogene. 2008 Oct 27;27(50):6398-406 - PubMed
- Mol Ther Nucleic Acids. 2020 Aug 8;22:62-71 - PubMed
- Mol Cancer. 2020 Apr 15;19(1):77 - PubMed
- Immunotherapy. 2017 Jan;9(1):99-108 - PubMed
- Nat Rev Clin Oncol. 2018 Oct;15(10):599-616 - PubMed
- Cancer Cell. 2020 Mar 16;37(3):270-288 - PubMed
- Nat Rev Cancer. 2016 May;16(5):275-87 - PubMed
- J Cell Physiol. 2020 Apr;235(4):3916-3927 - PubMed
- Sci Rep. 2020 Sep 3;10(1):14538 - PubMed
- J Hematol Oncol. 2017 May 5;10(1):101 - PubMed
- Sci Immunol. 2019 Sep 13;4(39): - PubMed
- J Cell Physiol. 2020 Dec;235(12):9304-9316 - PubMed
- Cell Cycle. 2019 Dec;18(23):3313-3324 - PubMed
- Theranostics. 2021 Jan 1;11(5):2201-2217 - PubMed
- Hepatology. 2018 Jun;67(6):2254-2270 - PubMed
- Nat Rev Gastroenterol Hepatol. 2019 Oct;16(10):589-604 - PubMed
- World J Gastroenterol. 2019 Jun 28;25(24):2977-2989 - PubMed
- Mol Cancer. 2019 Nov 18;18(1):163 - PubMed
- Mol Cancer. 2019 Nov 6;18(1):155 - PubMed
- J Immunother Cancer. 2020 Feb;8(1): - PubMed
- Cancer Res. 2017 Aug 1;77(15):3965-3981 - PubMed
- Mol Cancer. 2019 Dec 4;18(1):176 - PubMed
- Cell Prolif. 2018 Dec;51(6):e12515 - PubMed
- Cell Death Differ. 2000 Sep;7(9):804-14 - PubMed
- Cancer Cell. 2020 Jul 13;38(1):79-96.e11 - PubMed
- Mol Cancer. 2020 May 22;19(1):94 - PubMed
- Am J Transl Res. 2019 Sep 15;11(9):6084-6092 - PubMed
- J Cell Biochem. 2019 Apr;120(4):4987-4997 - PubMed
- J Exp Clin Cancer Res. 2018 May 29;37(1):110 - PubMed
- J Hematol Oncol. 2019 Nov 22;12(1):121 - PubMed
- Life Sci. 2020 Dec 1;262:118508 - PubMed
- J Hematol Oncol. 2020 Jan 8;13(1):5 - PubMed
- Front Immunol. 2018 Jul 16;9:1649 - PubMed
Publication Types