リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「DNA hypermethylation of the ZNF132 gene participates in the clinicopathological aggressiveness of 'pan-negative'-type lung adenocarcinomas (本文)」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。
リケラボ

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

DNA hypermethylation of the ZNF132 gene participates in the clinicopathological aggressiveness of 'pan-negative'-type lung adenocarcinomas (本文)

濱田, 賢一 慶應義塾大学

2021.03.23

概要

Although some previous studies have examined epigenomic alterations in lung adenocarcinomas, correlations between epigenomic events and genomic driver mutations have not been fully elucidated. Single-CpG resolution genome-wide DNA methylation analysis with the Infinium HumanMethylation27 BeadChip was performed using 162 paired samples of adjacent normal lung tissue (N) and the corresponding tumorous tissue (T) from patients with lung adenocarcinomas. Correlations between DNA methylation data on the one hand and clinicopathological parameters and genomic driver mutations, i.e. mutations of EGFR, KRAS, BRAF and HER2 and fusions involving ALK, RET and ROS1, were examined. DNA methylation levels in 12 629 probes from N samples were significantly correlated with recurrence-free survival. Principal component analysis revealed that distinct DNA methylation profiles at the precancerous N stage tended not to induce specific genomic driver aberrations. Most of the genes showing significant DNA methylation alterations during transition from N to T were shared by two or more driver aberration groups. After small interfering RNA knockdown of ZNF132, which showed DNA hypermethylation only in the pan-negative group and was correlated with vascular invasion, the proliferation, apoptosis and migration of cancer cell lines were examined. ZNF132 knockdown led to increased cell migration ability, rather than increased cell growth or reduced apoptosis. We concluded that DNA hypermethylation of the ZNF132 gene participates in the clinicopathological aggressiveness of ‘pan-negative’ lung adenocarcinomas. In addition, DNA methylation alterations at the precancerous stage may determine tumor aggressiveness, and such alterations that accumulate after driver mutation may additionally modify clinicopathological features through alterations of gene expression.

論文の公開元へ

関連論文

関連論文をもっと見る

参考文献

1. Ilango, S. et al. (2020) Epigenetic alterations in cancer. Front. Biosci. (Landmark Ed.), 25, 1058–1109.

2. Jones, P.A. et al. (2016) Targeting the cancer epigenome for therapy. Nat. Rev. Genet., 17, 630–641.

3. Baylin, S.B. et al. (2016) Epigenetic determinants of cancer. Cold Spring Harb. Perspect. Biol., 8, a019505.

4. Kanai, Y. et al. (2014) Multilayer-omics analyses of human cancers: ex- ploration of biomarkers and drug targets based on the activities of the International Human Epigenome Consortium. Front. Genet., 5, 24.

5. Cancer Genome Atlas Research, N. (2014) Comprehensive molecular profiling of lung adenocarcinoma. Nature, 511, 543–550.

6. Bibikova, M. et al. (2009) Genome-wide DNA methylation profiling using Infinium® assay. Epigenomics, 1, 177–200.

7. Husni, R.E. et al. (2019) DNA hypomethylation-related overexpression of SFN, GORASP2 and ZYG11A is a novel prognostic biomarker for early stage lung adenocarcinoma. Oncotarget, 10, 1625–1636.

8. Quek, K. et al. (2017) DNA methylation intratumor heterogeneity in lo- calized lung adenocarcinomas. Oncotarget, 8, 21994–22002.

9. Bjaanaes, M.M. et al. (2016) Genome-wide DNA methylation analyses in lung adenocarcinomas: association with EGFR, KRAS and TP53 muta- tion status, gene expression and prognosis. Mol. Oncol., 10, 330–343.

10. Santoro, A. et al. (2019) Tobacco smoking: risk to develop addiction, chronic obstructive pulmonary disease, and lung cancer. Recent Pat. Anticancer Drug Discov., 14, 39–52.

11. Sato, T. et al. (2014) Epigenetic clustering of lung adenocarcinomas based on DNA methylation profiles in adjacent lung tissue: its correl- ation with smoking history and chronic obstructive pulmonary dis- ease. Int. J. Cancer, 135, 319–334.

12. Makabe, T. et al. (2019) Genome-wide DNA methylation profile of early- onset endometrial cancer: its correlation with genetic aberrations and comparison with late-onset endometrial cancer. Carcinogenesis, 40, 611–623.

13. Yamanoi, K. et al. (2015) Epigenetic clustering of gastric carcinomas based on DNA methylation profiles at the precancerous stage: its correl- ation with tumor aggressiveness and patient outcome. Carcinogenesis, 36, 509–520.

14. Arai, E. et al. (2012) Single-CpG-resolution methylome analysis identi- fies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas. Carcinogenesis, 33, 1487–1493.

15. Robles, A.I. et al. (2015) An integrated prognostic classifier for stage I lung adenocarcinoma based on mRNA, microRNA, and DNA methyla- tion biomarkers. J. Thorac. Oncol., 10, 1037–1048.

16. Sato, T. et al. (2013) DNA methylation profiles at precancerous stages as- sociated with recurrence of lung adenocarcinoma. PLoS One, 8, e59444.

17. Saito, M. et al. (2018) Treatment of lung adenocarcinoma by molecular- targeted therapy and immunotherapy. Surg. Today, 48, 1–8.

18. Matano, M. et al. (2015) Modeling colorectal cancer using CRISPR-Cas9- mediated engineering of human intestinal organoids. Nat. Med., 21, 256–262.

19. Eguchi, K. et al. (1997) DNA hypermethylation at the D17S5 locus in non-small cell lung cancers: its association with smoking history. Cancer Res., 57, 4913–4915.

20. Arai, E. et al. (2018) Epigenome mapping of human normal purified hepatocytes: personal epigenome variation and genome-epigenome correlation. Epigenomics, 10, 955–979.

21. Travis, W.D. et al. (2015) Adenocarcinoma. In Travis, W.D. et al. (eds) WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart. 4th edn. IARC, Lyon, France, pp. 26–43.

22. Kanai, Y. et al. (2018) The Japanese Society of Pathology Guidelines on the handling of pathological tissue samples for genomic research:standard operating procedures based on empirical analyses. Pathol. Int., 68, 63–90.

23. Du, P. et al. (2010) Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinform., 11, 587.

24. Fujimoto, M. et al. (2020) Establishment of diagnostic criteria for upper urinary tract urothelial carcinoma based on genome-wide DNA methy- lation analysis. Epigenetics, 4, 1.

25. Kinjo, M. et al. (1979) Thromboplastic and fibrinolytic activities of cul- tured human cancer cell lines. Br. J. Cancer, 39, 15–23.

26. Phelps, R.M. et al. (1996) NCI-Navy Medical Oncology Branch cell line data base. J. Cell. Biochem. Suppl., 24, 32–91.

27. Giard, D.J. et al. (1973) In vitro cultivation of human tumors: establish- ment of cell lines derived from a series of solid tumors. J. Natl. Cancer Inst., 51, 1417–1423.

28. Fujise, K. (1990) Integration of hepatitis B virus DNA into cells of six established human hepatocellular carcinoma cell lines. Hepatogastroenterology, 37, 457–460.

29. Arai, E. et al. (2015) Alterations of the spindle checkpoint pathway in clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas. Int. J. Cancer, 137, 2589–2606.

30. Ohara, K. et al. (2017) Genes involved in development and differenti-ation are commonly methylated in cancers derived from multiple organs: a single-institutional methylome analysis using 1007 tissue specimens. Carcinogenesis, 38, 241–251.

31. Kuramoto, J. et al. (2017) Genome-wide DNA methylation ana- lysis during non-alcoholic steatohepatitis-related multistage hepatocarcinogenesis: comparison with hepatitis virus-related car- cinogenesis. Carcinogenesis, 38, 261–270.

32. Fluss, R. et al. (2005) Estimation of the Youden Index and its associated cutoff point. Biom. J., 47, 458–472.

33. Reid, M.E. et al. (2008) Molecular epidemiology to better predict lung cancer risk. Clin. Lung Cancer, 9, 149–153.

34. Curtius, K. et al. (2018) An evolutionary perspective on field cancerization. Nat. Rev. Cancer, 18, 19–32.

35. Martin, E.M. et al. (2018) Environmental influences on the epigenome: exposure-associated DNA methylation in human populations. Annu. Rev. Public Health, 39, 309–333.

36. Abildgaard, M.O. et al. (2012) Downregulation of zinc finger pro- tein 132 in prostate cancer is associated with aberrant promoter hypermethylation and poor prognosis. Int. J. Cancer, 130, 885–895.

37. Jiang, D. et al. (2018) Epigenetic silencing of ZNF132 mediated by methylation-sensitive Sp1 binding promotes cancer progression in esophageal squamous cell carcinoma. Cell Death Dis., 10, 1.

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文
を
一発検索！

この論文の関連論文を見る