Cited by 120

In-Depth Characterization of the MicroRNA Transcriptome in Normal Thyroid and Papillary Thyroid Carcinoma

Swierniak, Michal, Wojcicka, Anna, Czetwertynska, Malgorzata, Stachlewska, Elzbieta, Maciag, Monika, Wiechno, Wieslaw, Gornicka, Barbara, Bogdanska, Magdalena +3 more·2013·The Journal of Clinical Endocrinology & Metabolism

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Crossref · 10.1210/jc.2013-1214

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  • miR-144 has been found highly expressed in normal thyroid and downregulated in papillary thyroid carcinoma (18).

    “Of note, miR-144 has been found highly expressed in normal thyroid and downregulated in papillary thyroid carcinoma (18).”

    From Distribution of miRNA expression across human tissues (2016) · cites this paper as [18]

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Cites

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Research works printed but not linked: 36

  1. Chen AY, Jemal A, Ward EM. Increasing incidence of differentiated thyroid cancer in the United States, 1988 -2005. Cancer. 2009;115: 3801-3807.
  2. Risch N. The genetic epidemiology of cancer: interpreting family and twin studies and their implications for molecular genetic ap- proaches. Cancer Epidemiol Biomarkers Prev. 2001;10:733-741.
  3. Frich L, Glattre E, Akslen LA. Familial occurrence of nonmedullary thyroid cancer: a population-based study of 5673 first-degree rela- tives of thyroid cancer patients from Norway. Cancer Epidemiol Biomarkers Prev. 2001;10:113-117.
  4. Gudmundsson J, Sulem P, Gudbjartsson DF, et al. Common variants on 9q22.33 and 14q13.3 predispose to thyroid cancer in European populations. Nat Genet. 2009;41:460 -464.
  5. Gudmundsson J, Sulem P, Gudbjartsson DF, et al. Discovery of common variants associated with low TSH levels and thyroid cancer risk. Nat Genet. 2012;44:319 -322.
  6. Jendrzejewski J, He H, Radomska HS, et al. The polymorphism rs944289 predisposes to papillary thyroid carcinoma through a large intergenic noncoding RNA gene of tumor suppressor type. Proc Natl Acad Sci USA. 2012;109:8646 -8651.
  7. He H, Nagy R, Liyanarachchi S, et al. A susceptibility locus for papillary thyroid carcinoma on chromosome 8q24. Cancer Res. 2009;69:625-631.
  8. Nielsen CB, Shomron N, Sandberg R, Hornstein E, Kitzman J, Burge CB. Determinants of targeting by endogenous and exogenous mi- croRNAs and siRNAs. RNA. 2007;13:1894 -1910.
  9. Filipowicz W, Bhattacharyya SN, Sonenberg N. Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet. 2008;9:102-114.
  10. Bartel DP. MicroRNAs: target recognition and regulatory func- tions. Cell. 2009;136:215-233.
  11. Griffiths-Jones S. miRBase: the microRNA sequence database. Methods Mol Biol. 2006;342:129 -138.
  12. Starega-Roslan J, Krol J, Koscianska E, et al. Structural basis of microRNA length variety. Nucleic Acids Res. 2011;39:257-268.
  13. Chiang HR, Schoenfeld LW, Ruby JG, et al. Mammalian microR- NAs: experimental evaluation of novel and previously annotated genes. Genes Dev. 2010;24:992-1009.
  14. Frank F, Sonenberg N, Nagar B. Structural basis for 5Ј-nucleotide base-specific recognition of guide RNA by human AGO2. Nature. 2010;465:818 -822.
  15. Barbarotto E, Schmittgen TD, Calin GA. MicroRNAs and cancer: profile, profile, profile. Int J Cancer. 2008;122:969 -977.
  16. Lim LP, Lau NC, Garrett-Engele P, et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mR- NAs. Nature. 2005;433:769.
  17. Lu J, Getz G, Miska EA, et al. MicroRNA expression profiles classify human cancers. Nature. 2005;435:834 -838.
  18. Marcucci G, Radmacher MD, Maharry K, et al. MicroRNA expres- sion in cytogenetically normal acute myeloid leukemia. N Engl J Med. 2008;358:1919 -1928.
  19. Jazdzewski K, Murray EL, Franssila K, Jarzab B, Schoenberg DR, de la Chapelle A. Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma. Proc Natl Acad Sci USA. 2008;105:7269 -7274.
  20. Jazdzewski K, Liyanarachchi S, Swierniak M, et al. Polymorphic mature microRNAs from passenger strand of pre-miR-146a con- tribute to thyroid cancer. Proc Natl Acad Sci USA. 2009;106:1502- 1505.
  21. Jazdzewski K, de la Chapelle A. Genomic sequence matters: a SNP in microRNA-146a can turn anti-apoptotic. Cell Cycle. 2009;8: 1642-1643.
  22. de la Chapelle A, Jazdzewski K. MicroRNAs in thyroid cancer. J Clin Endocrinol Metab. 2011;96:3326 -3336.
  23. He H, Jazdzewski K, Liyanarachchi S, et al. The role of microRNA genes in papillary thyroid carcinoma. Proc Natl Acad Sci USA. 2005;102:19075-19080.
  24. Pallante P, Visone R, Ferracin M, et al. MicroRNA deregulation in human thyroid papillary carcinomas. Endocr Relat Cancer. 2006; 13:497-508.
  25. Liu CG, Calin GA, Meloon B, et al. An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues. Proc Natl Acad Sci USA. 2004;101:9740 -9744.
  26. Pichler M, Balic M, Stadelmeyer E, et al. Evaluation of high-reso- lution melting analysis as a diagnostic tool to detect the BRAF V600E mutation in colorectal tumors. J Mol Diagn. 2009;11:140 - 147.
  27. Nikiforov YE, Rowland JM, Bove KE, Monforte-Munoz H, Fagin JA. Distinct pattern of ret oncogene rearrangements in morpholog- ical variants of radiation-induced and sporadic thyroid papillary carcinomas in children. Cancer Res. 1997;57:1690 -1694.
  28. Kozomara A, Griffiths-Jones S. miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res. 2011;39: D152-D157.
  29. Martin MM. Cutadapt removes adaptor sequences from high- throughput sequencing reads. EMBnet.journal. 2011;17:1.
  30. Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and mem- ory-efficient alignment of short DNA sequences to the human ge- nome. Genome Biol. 2009;10:R25.
  31. Cloonan N, Grimmond SM. Transcriptome content and dynamics at single-nucleotide resolution. Genome Biol. 2008;9:234.
  32. Morin RD, O'Connor MD, Griffith M, et al. Application of mas- sively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells. Genome Res. 2008;18:610 -621.
  33. Kuchenbauer F, Morin RD, Argiropoulos B, et al. In-depth char- acterization of the microRNA transcriptome in a leukemia progres- sion model. Genome Res. 2008;18:1787-1797.
  34. Farazi TA, Horlings HM, Ten Hoeve JJ, et al. MicroRNA sequence and expression analysis in breast tumors by deep sequencing. Cancer Res. 2011;71:4443-4453.
  35. Szczyrba J, Loprich E, Wach S, et al. The microRNA profile of prostate carcinoma obtained by deep sequencing. Mol Cancer Res. 2010;8:529 -538.
  36. Han Y, Chen J, Zhao X, et al. MicroRNA expression signatures of bladder cancer revealed by deep sequencing. PLoS One. 2011;6: e18286.

Cited by

Sorted by citations

Authors
Swierniak, M., Wojcicka, A., Czetwertynska, M., Stachlewska, E., Maciag, M., Wiechno, W., Gornicka, B., Bogdanska, M., Koperski, L., de la Chapelle, A., & Jazdzewski, K.
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2013-08
Volume
98
Issue
8
Pages
E1401-E1409
ISSN
  • 0021-972X
  • 1945-7197
Cited by
120
References
1
Language
en

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