본문 바로가기
KERD
논문KCI 등재

Comprehensive MicroRNAome Analysis of the Relationship Between Alzheimer Disease and Cancer in PSEN Double- Knockout Mice

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Purpose: Presenilins are functionally important components of γ-secretase, which cleaves a number of transmembrane proteins. Manipulations of PSEN1 and PSEN2 have been separately studied in Alzheimer disease (AD) and cancer because both involve substrates of γ-secretase. However, numerous clinical studies have reported an inverse correlation between AD and cancer. Interestingly, AD is a neurodegenerative disorder, whereas cancer is characterized by the proliferation of malignant cells. However, this inverse correlation in the PSEN double-knockout (PSEN dKO) mouse model of AD has been not elucidated, although doing so would shed light onto the relationship between AD and cancer. Methods: To investigate the inverse relationship of AD and cancer under conditions of PSEN loss, we used the hippocampus of 7-month-old and 18-month-old PSEN dKO mice for a microRNA (miRNA) microarray analysis, and explored the tumorsuppressive or oncogenic role of differentially-expressed miRNAs. Results: The total number of miRNAs that showed changes in expression level was greater at 18 months of age than at 7 months. Most of the putative target genes of the differentially-expressed miRNAs involved Cancer pathways. Conclusions: Based on literature reviews, many of the miRNAs involved in Cancer pathways were found to be known tumorsuppressive miRNAs, and their target genes were known or putative oncogenes. In conclusion, the expression levels of known tumor-suppressive miRNAs increased at 7 and 18 months, in the PSEN dKO mouse model of AD, supporting the negative correlation between AD and cancer.

Abstract

Purpose: Presenilins are functionally important components of γ-secretase, which cleaves a number of transmembrane proteins. Manipulations of PSEN1 and PSEN2 have been separately studied in Alzheimer disease (AD) and cancer because both involve substrates of γ-secretase. However, numerous clinical studies have reported an inverse correlation between AD and cancer. Interestingly, AD is a neurodegenerative disorder, whereas cancer is characterized by the proliferation of malignant cells. However, this inverse correlation in the PSEN double-knockout (PSEN dKO) mouse model of AD has been not elucidated, although doing so would shed light onto the relationship between AD and cancer. Methods: To investigate the inverse relationship of AD and cancer under conditions of PSEN loss, we used the hippocampus of 7-month-old and 18-month-old PSEN dKO mice for a microRNA (miRNA) microarray analysis, and explored the tumorsuppressive or oncogenic role of differentially-expressed miRNAs. Results: The total number of miRNAs that showed changes in expression level was greater at 18 months of age than at 7 months. Most of the putative target genes of the differentially-expressed miRNAs involved Cancer pathways. Conclusions: Based on literature reviews, many of the miRNAs involved in Cancer pathways were found to be known tumorsuppressive miRNAs, and their target genes were known or putative oncogenes. In conclusion, the expression levels of known tumor-suppressive miRNAs increased at 7 and 18 months, in the PSEN dKO mouse model of AD, supporting the negative correlation between AD and cancer.

참고문헌 (30)

  1. Yonemura Y, "Comparison of presenilin 1 and presenilin 2 γ-secretase activities using a yeast reconstitution system", J Biol Chem, 286, pp.44569~44575 (2011)
  2. Kopan R, "Gamma-secretase: proteasome of the membrane?", Nat Rev Mol Cell Biol, 5, pp.499~504 (2004)
  3. Yu H, "APP processing and synaptic plasticity in presenilin-1 conditional knockout mice", Neuron, 31, pp.713~726 (2001)
  4. Xia D, "Presenilin-1 knockin mice reveal loss-of-function mechanism for familial Alzheimer’s disease", Neuron, 85, pp.967~981 (2015)
  5. Herreman A, "Presenilin 2 deficiency causes a mild pulmonary phenotype and no changes in amyloid precursor protein processing but enhances the embryonic lethal phenotype of presenilin 1deficiency", Proc Natl Acad Sci U S A, 96, pp.11872~11877 (1999)
  6. Saura CA, "Loss of presenilin function causes impairments of memory and synaptic plasticity followed by age-dependent neurodegeneration", Neuron, 42, pp.23~36 (2004)
  7. Ham S, "MicroRNA Profiling in aging brain of PSEN1", PSEN2 double knockout mice, 2018, pp.55, 5232~5242
  8. Ham S, "Big data analysis of genes associated with neuropsychiatric disorders in an Alzheimer’s disease animal model", Front Neurosci, 12, pp.407~ (2018)
  9. Ranganathan P, "Notch signalling in solid tumours: a little bit of everything but not all the time", Nat Rev Cancer, 11, pp.338~351 (2011)
  10. Jeanes A, "Cadherins and cancer: how does cadherin dysfunction promote tumor progression?", Oncogene, 27, pp.6920~6929 (2008)
  11. Yun HM, "Loss of presenilin 2 is associated with increased iPLA2 activity and lung tumor development", Oncogene, 33, pp.5193~5200 (2014)
  12. Rocher-Ros V, "Presenilin modulates EGFR signaling and cell transformation by regulating the ubiquitin ligase Fbw7", Oncogene, 29, pp.2950~2961 (2010)
  13. Li P, "The expression of presenilin 1 enhances carcinogenesis and metastasis in gastric cancer", Oncotarget, 7, pp.10650~10662 (2016)
  14. Behrens MI, "A common biological mechanism in cancer and Alzheimer’s disease?", Curr Alzheimer Res, 6, pp.196~204 (2009)
  15. Tabarés-Seisdedos R, "Inverse cancer comorbidity: a serendipitous opportunity to gain insight into CNS disorders", Nat Rev Neurosci, 14, pp.293~304 (2013)
  16. Blalock EM, "Incipient Alzheimer’s disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses", Proc Natl Acad Sci U S A, 101, pp.2173~2178 (2004)
  17. Alves da Costa C, "Presenilin-dependent gamma-secretase-mediated control of p53-associated cell death in Alzheimer’s disease", J Neurosci, 26, pp.6377~6385 (2006)
  18. Vikram Agarwal, "Predicting effective microRNA target sites in mammalian mRNAs", eLife, 4 (2015), eLife Sciences Publications, Ltd[DOI]
  19. Wang X, "Improving microRNA target prediction by modeling with unambiguously identified microRNA-target pairs from CLIP-ligation studies", Bioinformatics, 32, pp.1316~1322 (2016)
  20. Huang da W, "Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources", Nat Protoc, 4, pp.44~57 (2009)
  21. Huang da W, "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists", Nucleic Acids Res, 37, pp.1~13 (2009)
  22. Xia X, "Loss of presenilin 1 is associated with enhanced beta-catenin signaling and skin tumorigenesis", Proc Natl Acad Sci U S A, 98, pp.10863~10868 (2001)
  23. Park MH, "Presenilin mutation suppresses lung tumorigenesis via inhibition of peroxiredoxin 6 activity and expression", Theranostics, 7, pp.3624~3637 (2017)
  24. To MD, "Functional characterization of novel presenilin-2 variants identified in human breast cancers", Oncogene, 25, pp.3557~3564 (2006)
  25. Pereira DM, "Delivering the promise of miRNA cancer therapeutics", Drug Discov Today, 18, pp.282~289 (2013)
  26. Croce CM, "Causes and consequences of microRNA dysregulation in cancer", Nat Rev Genet, 10, pp.704~714 (2009)
  27. Kumar MS, "Suppression of non-small cell lung tumor development by the let-7 microRNA family", Proc Natl Acad Sci U S A, 105, pp.3903~3908 (2008)
  28. Tatarano S, "miR-218 on the genomic loss region of chromosome 4p15.31 functions as a tumor suppressor in bladder cancer", Int J Oncol, 39, pp.13~21 (2011)
  29. Fleming TP, "Amplification and", or overexpression of plateletderived growth factor receptors and epidermal growth factor receptor in human glial tumors, 1992, pp.52, 4550~4553
  30. Nazarian R, "Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation", Nature, 468, pp.973~977 (2010)

관련 논문AI추천

이 간행물의 다른 논문 (12건)