Identification of a blood-borne miRNA signature of synovial sarcoma

Molecular Cancer

Volumn 14, Issue 1, 2015, Pages

  Fricke, Alba ^a   Ullrich, Prisca V ^a   Heinz, Jürgen ^a   Pfeifer, Dietmar ^a   Scholber, Jutta ^a   Herget, Georg W ^a   Hauschild, Oliver ^a   Bronsert, Peter ^a,b   Stark, G Björn ^a   Bannasch, Holger ^a   Eisenhardt, Steffen U ^a   Braig, David ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b University Medical Center Freiburg Department of Hematology Oncology and Stem Cell Transplantation ^*  (Germany)

Author keywords

Biomarker, Liquid biopsy; miRNA; Synovial sarcoma; Whole blood RNA

Indexed keywords

MICRORNA; MICRORNA 146B-5P; MICRORNA 148B-3P; MICRORNA 195-5P; MICRORNA 223-3P; MICRORNA 500-3P; MICRORNA 505-3P; MICRORNA 99A-5P; UNCLASSIFIED DRUG; TRANSCRIPTOME; TUMOR MARKER;

ADULT; ARTICLE; BLOOD LEVEL; CLINICAL ARTICLE; CONTROLLED STUDY; EWING SARCOMA; FEMALE; GENE EXPRESSION; HUMAN; HUMAN CELL; LEIOMYOSARCOMA; LIPOSARCOMA; MALE; MALIGNANT PERIPHERAL NERVE SHEATH TUMOR; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SYNOVIAL SARCOMA; TUMOR REGRESSION; UPREGULATION; BLOOD; CASE CONTROL STUDY; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS;

BIOMARKERS, TUMOR; CASE-CONTROL STUDIES; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MICRORNAS; SARCOMA, SYNOVIAL; TRANSCRIPTOME;

EID: 84938599330     PISSN: None     EISSN: 14764598     Source Type: Journal    
DOI: 10.1186/s12943-015-0424-z     Document Type: Article

References (36)

1. Zagars GK, Ballo MT, Pisters PW, Pollock RE, Patel SR, Benjamin RS, et al. Prognostic factors for patients with localized soft-tissue sarcoma treated with conservation surgery and radiation therapy: an analysis of 1225 patients. Cancer. 2003;97(10):2530-43.
2. Bannasch H, Eisenhardt SU, Grosu AL, Heinz J, Momeni A, Stark GB. The diagnosis and treatment of soft tissue sarcomas of the limbs. Dtsch Arztebl Int. 2011;108(3):32-8.
3. Eilber FC, Dry SM. Diagnosis and management of synovial sarcoma. J Surg Oncol. 2008;97(4):314-20.
4. Crew AJ, Clark J, Fisher C, Gill S, Grimer R, Chand A, et al. Fusion of SYT to two genes, SSX1 and SSX2, encoding proteins with homology to the Kruppel-associated box in human synovial sarcoma. EMBO J. 1995;14(10):2333-40.
5. Clark J, Rocques PJ, Crew AJ, Gill S, Shipley J, Chan AM, et al. Identification of novel genes, SYT and SSX, involved in the t(X;18) (p11.2;q11.2) translocation found in human synovial sarcoma. Nat Genet. 1994;7(4):502-8.
6. Kawai A, Woodruff J, Healey JH, Brennan MF, Antonescu CR, Ladanyi M. SYT-SSX gene fusion as a determinant of morphology and prognosis in synovial sarcoma. N Engl J Med. 1998;338(3):153-60.
7. Skytting B, Nilsson G, Brodin B, Xie Y, Lundeberg J, Uhlen M, et al. A novel fusion gene, SYT-SSX4, in synovial sarcoma. J Natl Cancer Inst. 1999;91(11):974-5.
8. Amary MF, Berisha F, Bernardi Fdel C, Herbert A, James M, Reis-Filho JS, et al. Detection of SS18-SSX fusion transcripts in formalin-fixed paraffin-embedded neoplasms: analysis of conventional RT-PCR, qRT-PCR and dual color FISH as diagnostic tools for synovial sarcoma. Mod Pathol. 2007;20(4):482-96.
9. Doench JG, Sharp PA. Specificity of microRNA target selection in translational repression. Genes Dev. 2004;18(5):504-11.
10. Nonaka R, Nishimura J, Kagawa Y, Osawa H, Hasegawa J, Murata K, et al. Circulating miR-199a-3p as a novel serum biomarker for colorectal cancer. Oncol Rep. 2014;32(6):2354-8.
11. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18(10):997-1006.
12. Juan L, Tong HL, Zhang P, Guo G, Wang Z, Wen X, et al. Identification and characterization of novel serum microRNA candidates from deep sequencing in cervical cancer patients. Sci Rep. 2014;4:6277.
13. Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA expression profiles classify human cancers. Nature. 2005;435(7043):834-8.
14. Ugras S, Brill E, Jacobsen A, Hafner M, Socci ND, Decarolis PL, et al. Small RNA sequencing and functional characterization reveals MicroRNA-143 tumor suppressor activity in liposarcoma. Cancer Res. 2011;71(17):5659-69.
15. Subramanian S, Lui WO, Lee CH, Espinosa I, Nielsen TO, Heinrich MC, et al. MicroRNA expression signature of human sarcomas. Oncogene. 2008;27(14):2015-26.
16. Renner M, Czwan E, Hartmann W, Penzel R, Brors B, Eils R, et al. MicroRNA profiling of primary high-grade soft tissue sarcomas. Genes Chromosomes Cancer. 2012;51(11):982-96.
17. Miyachi M, Tsuchiya K, Yoshida H, Yagyu S, Kikuchi K, Misawa A, et al. Circulating muscle-specific microRNA, miR-206, as a potential diagnostic marker for rhabdomyosarcoma. Biochem Biophys Res Commun. 2010;400(1):89-93.
18. Hisaoka M, Matsuyama A, Nagao Y, Luan L, Kuroda T, Akiyama H, et al. Identification of altered MicroRNA expression patterns in synovial sarcoma. Genes Chromosomes Cancer. 2011;50(3):137-45.
19. Storey J. A direct approach to false discovery rates. J R Stat Soc Series B Stat Methodol. 2002;64(3):479-98.
20. Cheng HH, Yi HS, Kim Y, Kroh EM, Chien JW, Eaton KD, et al. Plasma processing conditions substantially influence circulating microRNA biomarker levels. PLoS One. 2013;8(6), e64795.
21. Keller A, Leidinger P, Bauer A, Elsharawy A, Haas J, Backes C, et al. Toward the blood-borne miRNome of human diseases. Nat Methods. 2011;8(10):841-3.
22. Mookherjee N, El-Gabalawy HS. High degree of correlation between whole blood and PBMC expression levels of miR-155 and miR-146a in healthy controls and rheumatoid arthritis patients. J Immunol Methods. 2013;400-401:106-10.
23. Leidinger P, Backes C, Dahmke IN, Galata V, Huwer H, Stehle I, et al. What makes a blood cell based miRNA expression pattern disease specific?--a miRNome analysis of blood cell subsets in lung cancer patients and healthy controls. Oncotarget. 2014;5(19):9484-97.
24. Fujiwara T, Kunisada T, Takeda K, Uotani K, Yoshida A, Ochiya T, et al. MicroRNAs in soft tissue sarcomas: overview of the accumulating evidence and importance as novel biomarkers. Biomed Res Int. 2014;2014:592868.
25. Aucher A, Rudnicka D, Davis DM. MicroRNAs transfer from human macrophages to hepato-carcinoma cells and inhibit proliferation. J Immunol. 2013;191(12):6250-60.
26. Eisenhardt SU, Weiss JB, Smolka C, Maxeiner J, Pankratz F, Bemtgen X, et al. MicroRNA-155 aggravates ischemia-reperfusion injury by modulation of inflammatory cell recruitment and the respiratory oxidative burst. Basic Res Cardiol. 2015;110(3):32.
27. Taganov KD, Boldin MP, Chang KJ, Baltimore D. NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc Natl Acad Sci U S A. 2006;103(33):12481-6.
28. Hulsmans M, Van Dooren E, Mathieu C, Holvoet P. Decrease of miR-146b-5p in monocytes during obesity is associated with loss of the anti-inflammatory but not insulin signaling action of adiponectin. PLoS One. 2012;7(2), e32794.
29. Ding J, Huang S, Wang Y, Tian Q, Zha R, Shi H, et al. Genome-wide screening reveals that miR-195 targets the TNF-alpha/NF-kappaB pathway by down-regulating IkappaB kinase alpha and TAB3 in hepatocellular carcinoma. Hepatology. 2013;58(2):654-66.
30. Kumar V, Palermo R, Talora C, Campese AF, Checquolo S, Bellavia D, et al. Notch and NF-kB signaling pathways regulate miR-223/FBXW7 axis in T-cell acute lymphoblastic leukemia. Leukemia. 2014;28(12):2324-35.
31. Zhang L, Ding Y, Yuan Z, Liu J, Sun J, Lei F, et al. MicroRNA-500 sustains nuclear factor-kappaB activation and induces gastric cancer cell proliferation and resistance to apoptosis. Oncotarget. 2015;6(4):2483-95.
32. Pinto A, Dickman P, Parham D. Pathobiologic markers of the ewing sarcoma family of tumors: state of the art and prediction of behaviour. Sarcoma. 2011;2011:856190.
33. Ma Y, Wang X, Jin H. Methylated DNA and microRNA in Body Fluids as Biomarkers for Cancer Detection. Int J Mol Sci. 2013;14(5):10307-31.
34. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402-8.
35. Eisenhart C. The assumptions underlying the analysis of variance. Biometrics. 1947;3(1):1-21.
36. Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, et al. TM4: a free, open-source system for microarray data management and analysis. Biotechniques. 2003;34(2):374-8.