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Ma L, Li C, Yin H, Huang J, Yu S, Zhao J, Tang Y, Yu M, Lin J, Ding L, Cui Q. The Mechanism of DNA Methylation and miRNA in Breast Cancer. Int J Mol Sci 2023; 24:ijms24119360. [PMID: 37298314 DOI: 10.3390/ijms24119360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/17/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Breast cancer is the most prevalent cancer in the world. Currently, the main treatments for breast cancer are radiotherapy, chemotherapy, targeted therapy and surgery. The treatment measures for breast cancer depend on the molecular subtype. Thus, the exploration of the underlying molecular mechanisms and therapeutic targets for breast cancer remains a hotspot in research. In breast cancer, a high level of expression of DNMTs is highly correlated with poor prognosis, that is, the abnormal methylation of tumor suppressor genes usually promotes tumorigenesis and progression. MiRNAs, as non-coding RNAs, have been identified to play key roles in breast cancer. The aberrant methylation of miRNAs could lead to drug resistance during the aforementioned treatment. Therefore, the regulation of miRNA methylation might serve as a therapeutic target in breast cancer. In this paper, we reviewed studies on the regulatory mechanisms of miRNA and DNA methylation in breast cancer from the last decade, focusing on the promoter region of tumor suppressor miRNAs methylated by DNMTs and the highly expressed oncogenic miRNAs inhibited by DNMTs or activating TETs.
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Affiliation(s)
- Lingyuan Ma
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Chenyu Li
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Hanlin Yin
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Jiashu Huang
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Shenghao Yu
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Jin Zhao
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Yongxu Tang
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Min Yu
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Jie Lin
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Lei Ding
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
| | - Qinghua Cui
- Lab of Biochemistry & Molecular Biology, School of Life Sciences, Yunnan University, Kunming 650091, China
- Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health, Kunming 650214, China
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Kim H, Sim M, Park N, Kwon K, Kim J, Kim J. msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data. BMC Bioinformatics 2022; 23:383. [PMID: 36123620 PMCID: PMC9487059 DOI: 10.1186/s12859-022-04925-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 09/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND DNA methylation is an important epigenetic modification that is known to regulate gene expression. Whole-genome bisulfite sequencing (WGBS) is a powerful method for studying cytosine methylation in a whole genome. However, it is difficult to obtain methylation profiles using the WGBS raw reads and is necessary to be proficient in all types of bioinformatic tools for the study of DNA methylation. In addition, recent end-to-end pipelines for DNA methylation analyses are not sufficient for addressing those difficulties. RESULTS Here we present msPIPE, a pipeline for DNA methylation analyses with WGBS data seamlessly connecting all the required tasks ranging from data pre-processing to multiple downstream DNA methylation analyses. The msPIPE can generate various methylation profiles to analyze methylation patterns in the given sample, including statistical summaries and methylation levels. Also, the methylation levels in the functional regions of a genome are computed with proper annotation. The results of methylation profiles, hypomethylation, and differential methylation analysis are plotted in publication-quality figures. The msPIPE can be easily and conveniently used with a Docker image, which includes all dependent packages and software related to DNA methylation analyses. CONCLUSION msPIPE is a new end-to-end pipeline designed for methylation calling, profiling, and various types of downstream DNA methylation analyses, leading to the creation of publication-quality figures. msPIPE allows researchers to process and analyze the WGBS data in an easy and convenient way. It is available at https://github.com/jkimlab/msPIPE and https://hub.docker.com/r/jkimlab/mspipe .
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Affiliation(s)
- Heesun Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Mikang Sim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Nayoung Park
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Kisang Kwon
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Junyoung Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.
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Berrino E, Miglio U, Bellomo SE, Debernardi C, Bragoni A, Petrelli A, Cascardi E, Giordano S, Montemurro F, Marchiò C, Venesio T, Sapino A. The Tumor-Specific Expression of L1 Retrotransposons Independently Correlates with Time to Relapse in Hormone-Negative Breast Cancer Patients. Cells 2022; 11:cells11121944. [PMID: 35741073 PMCID: PMC9221920 DOI: 10.3390/cells11121944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/09/2022] [Accepted: 06/15/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Long-Interspersed Nuclear Element (L1) retrotransposons are silenced in healthy tissues but unrepressed in cancer. Even if L1 reactivation has been associated with reduced overall survival in breast cancer (BC) patients, a comprehensive correlation with clinicopathological features is still missing. METHODS Using quantitative, reverse-transcription PCR, we assessed L1 mRNA expression in 12 BC cells, 210 BC patients and in 47 normal mammary tissues. L1 expression was then correlated with molecular and clinicopathological data. RESULTS We identified a tumor-exclusive expression of L1s, absent in normal mammary cells and tissues. A positive correlation between L1 expression and tumor dedifferentiation, lymph-node involvement and increased immune infiltration was detected. Molecular subtyping highlighted an enrichment of L1s in basal-like cells and cancers. By exploring disease-free survival, we identified L1 overexpression as an independent biomarker for patients with a high risk of recurrence in hormone-receptor-negative BCs. CONCLUSIONS Overall, L1 reactivation identified BCs with aggressive features and patients with a worse clinical fate.
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Affiliation(s)
- Enrico Berrino
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
| | - Umberto Miglio
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
| | - Sara Erika Bellomo
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Oncology, University of Turin, 10124 Turin, Italy
| | - Carla Debernardi
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
| | - Alberto Bragoni
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
| | - Annalisa Petrelli
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
| | - Eliano Cascardi
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
| | - Silvia Giordano
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Oncology, University of Turin, 10124 Turin, Italy
| | - Filippo Montemurro
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
| | - Caterina Marchiò
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
| | - Tiziana Venesio
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Correspondence: ; Tel.: +39-011-9933547; Fax: +39-011-9933480
| | - Anna Sapino
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; (E.B.); (U.M.); (S.E.B.); (A.B.); (A.P.); (E.C.); (S.G.); (F.M.); (C.M.); (A.S.)
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy;
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Li D, Ji Y, Guo J, Guo Q. Upregulated expression of MTFR2 as a novel biomarker predicts poor prognosis in hepatocellular carcinoma by bioinformatics analysis. Future Oncol 2021; 17:3187-3201. [PMID: 34156259 DOI: 10.2217/fon-2020-1160] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Aim: The authors investigated the clinical role of MTFR2 in hepatocellular carcinoma (HCC) progression. Results: MTFR2 expression and methylation were abnormal in HCC tissues, and HCC patients with increased MTFR2 expression or methylation had poor or better overall survival, respectively. In addition, increased MTFR2 expression was correlated with age, grade, cancer stage and T stage. MTFR2 was an independent predictor of dismal prognosis in HCC patients. MTFR2 was involved in HCC progression by modulating the cell cycle, homologous recombination, DNA replication, p53 signaling pathway, etc. The ten hub genes were overexpressed in HCC tissues and were linked to cancer stage and dismal prognosis in HCC patients. Conclusion: MTFR2 could be a prospective biomarker of poor prognosis in individuals with HCC.
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Affiliation(s)
- Dan Li
- Department of Thoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, China.,Department of Oncology, Huanggang Central Hospital, Huanggang, Hubei, 435300, China
| | - YanMei Ji
- Department of Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, China
| | - JiaLong Guo
- Department of Thoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, China
| | - Qiang Guo
- Department of Thoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, China.,Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, 430030, China
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