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Unearthing Regulatory Axes of Breast Cancer circRNAs Networks to Find Novel Targets and Fathom Pivotal Mechanisms

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Abstract

Circular RNAs (circRNAs) possess valuable characteristics for both diagnosis and treatment of several human cancers including breast cancer (BC). In this study, we combined several systems, biology tools and approaches to identify influential BC circRNAs, miRNAs, and related mRNAs as the members of competing endogenous RNAs (ceRNAs) networks and related RNA binding proteins (RBPs) to study and decipher the BC-triggering biological processes and pathways. Rooting from the identified total of 25 co-differentially expressed circRNAs (DECs) between triple negative (TN) and luminal A subtypes of BC from microarray analysis, five hub DECs (hsa_circ_0003227, hsa_circ_0001955, hsa_circ_0020080, hsa_circ_0001666, and hsa_circ_0065173) and top eleven RBPs (AGO1, AGO2, EIF4A3, FMRP, HuR (ELAVL1), IGF2BP1, IGF2BP2, IGF2BP3, EWSR1, FUS, and PTB) were explored to form the upper stream regulatory elements. All the hub circRNAs were regarded as a super sponge having multiple miRNA response elements (MREs). Then, three BC leading miRNAs (hsa-miR-149, hsa-miR-182, and hsa-miR-383) were also introduced from merging several established ceRNAs networks. The predicted 7- and 8-mer MREs matches between hub circRNAs and leading miRNAs ensured their enduring regulatory capability. The mined downstream mRNAs of the circRNAs–miRNAs network then were presented to STRING database to form the PPI network and to decipher the issue from another point of view. The BC interconnected enriched pathways and processes guarantee the merits of the ceRNAs network’s members as targetable therapeutic elements. This study suggested extensive panels of novel therapeutic targets that are in charge of BC progression, hence their impressive role cannot be excluded and needs deeper empirical laboratory designs.

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References

  1. Siegel RL, Miller KD (2017) Jemal A (2017) Cancer statistics. CA Cancer J Clin 67(1):7–30

    Article  PubMed  Google Scholar 

  2. Salmena L, Poliseno L, Tay Y, Kats L, Pandolfi PP (2011) A ceRNA hypothesis: the Rosetta stone of a hidden RNA language? Cell 146(3):353–358

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Bosson AD, Zamudio JR, Sharp PA (2014) Endogenous miRNA and target concentrations determine susceptibility to potential ceRNA competition. Mol Cell 56(3):347–359

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Yang Y, Fan X, Mao M, Song X, Wu P, Zhang Y, Jin Y, Yang Y, Chen L-L, Wang Y (2017) Extensive translation of circular RNAs driven by N 6-methyladenosine. Cell Res 27(5):626

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Danan M, Schwartz S, Edelheit S, Sorek R (2011) Transcriptome-wide discovery of circular RNAs in Archaea. Nucleic Acids Res 40(7):3131–3142

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Zhang X-O, Wang H-B, Zhang Y, Lu X, Chen L-L, Yang L (2014) Complementary sequence-mediated exon circularization. Cell 159(1):134–147

    Article  CAS  PubMed  Google Scholar 

  7. Zhang Y, Zhang X-O, Chen T, Xiang J-F, Yin Q-F, Xing Y-H, Zhu S, Yang L, Chen L-L (2013) Circular intronic long noncoding RNAs. Mol Cell 51(6):792–806

    Article  CAS  PubMed  Google Scholar 

  8. Li Z, Huang C, Bao C, Chen L, Lin M, Wang X, Zhong G, Yu B, Hu W, Dai L (2015) Exon-intron circular RNAs regulate transcription in the nucleus. Nat Struct Mol Biol 22(3):256

    Article  PubMed  CAS  Google Scholar 

  9. Xu S, Zhou L, Ponnusamy M, Zhang L, Dong Y, Zhang Y, Wang Q, Liu J, Wang K (2018) A comprehensive review of circRNA: from purification and identification to disease marker potential. PeerJ 6:e5503

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lü L, Sun J, Shi P, Kong W, Xu K, He B, Zhang S, Wang J (2017) Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer. Oncotarget 8(27):44096

    PubMed  PubMed Central  Google Scholar 

  11. Wu J, Jiang Z, Chen C, Hu Q, Fu Z, Chen J, Wang Z, Wang Q, Li A, Marks JR (2018) CircIRAK3 sponges miR-3607 to facilitate breast cancer metastasis. Cancer Lett 430:179–192

    Article  CAS  PubMed  Google Scholar 

  12. Liang H-F, Zhang X-Z, Liu B-G, Jia G-T, Li W-L (2017) Circular RNA circ-ABCB10 promotes breast cancer proliferation and progression through sponging miR-1271. Am J Cancer Res 7(7):1566

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Nasri-Nasrabadi P, Zareian S, Nayeri Z, Salmanipour R, Parsafar S, Gharib E, Asadzadeh-Aghdaei H, Zali MR (2019) A detailed image of rutin underlying intracellular signaling pathways in human SW480 colorectal cancer cells based on miRNAs-lncRNAs-mRNAs-TFs interactions. J Cell Physiol 234(9):15570–15580

    Article  CAS  Google Scholar 

  14. Gharib E, Kouhsari SM, Izad M (2018) Punica granatum L Fruit aqueous extract suppresses reactive oxygen species-mediated p53/p65/miR-145 expressions followed by elevated levels of irs-1 in alloxan-diabetic rats. Cell J 19(4):520

    PubMed  Google Scholar 

  15. Cai Y, Yu X, Hu S, Yu J (2009) A brief review on the mechanisms of miRNA regulation. Genom Proteom Bioinform 7(4):147–154

    Article  CAS  Google Scholar 

  16. O'Day E, Lal A (2010) MicroRNAs and their target gene networks in breast cancer. Breast Cancer Res 12(2):201

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Imani S, Wei C, Cheng J, Khan MA, Fu S, Yang L, Tania M, Zhang X, Xiao X, Zhang X (2017) MicroRNA-34a targets epithelial to mesenchymal transition-inducing transcription factors (EMT-TFs) and inhibits breast cancer cell migration and invasion. Oncotarget 8(13):21362

    Article  PubMed  PubMed Central  Google Scholar 

  18. Li P, Sheng C, Huang L, Zhang H, Huang L, Cheng Z, Zhu Q (2014) MiR-183/-96/-182 cluster is up-regulated in most breast cancers and increases cell proliferation and migration. Breast Cancer Res 16(6):473

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Abdelmohsen K, Gorospe M (2010) Posttranscriptional regulation of cancer traits by HuR. Wiley Interdiscip Rev RNA 1(2):214–229

    Article  CAS  PubMed  Google Scholar 

  20. Hentze MW, Preiss T (2013) Circular RNAs: splicing's enigma variations. EMBO J 32(7):923–925

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Lécuyer E, Yoshida H, Parthasarathy N, Alm C, Babak T, Cerovina T, Hughes TR, Tomancak P, Krause HM (2007) Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function. Cell 131(1):174–187

    Article  PubMed  CAS  Google Scholar 

  22. Glisovic T, Bachorik JL, Yong J, Dreyfuss G (2008) RNA-binding proteins and post-transcriptional gene regulation. FEBS Lett 582(14):1977–1986

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Zheng L, Zhang Z, Zhang S, Guo Q, Zhang F, Gao L, Ni H, Guo X, Xiang C, Xi T (2018) RNA binding protein RNPC1 inhibits breast cancer cell metastasis via activating STARD13-correlated ceRNA network. Mol Pharm 15(6):2123–2132

    Article  CAS  PubMed  Google Scholar 

  24. Guo X, Hartley RS (2006) HuR contributes to cyclin E1 deregulation in MCF-7 breast cancer cells. Can Res 66(16):7948–7956

    Article  CAS  Google Scholar 

  25. Maubant S, Tesson B, Maire V, Ye M, Rigaill G, Gentien D, Cruzalegui F, Tucker GC, Roman-Roman S, Dubois T (2015) Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells. PLoS ONE 10(4):e0122333

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Dudekula DB, Panda AC, Grammatikakis I, De S, Abdelmohsen K, Gorospe M (2016) CircInteractome: a web tool for exploring circular RNAs and their interacting proteins and microRNAs. RNA Biol 13(1):34–42

    Article  PubMed  Google Scholar 

  27. Wickham H (2011) ggplot2. Wiley Interdiscip Rev Comput Stat 3(2):180–185

    Article  Google Scholar 

  28. Bader GD, Hogue CW (2003) An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform 4(1):2

    Article  Google Scholar 

  29. Silva TC, Colaprico A, Olsen C, D'Angelo F, Bontempi G, Ceccarelli M, Noushmehr H (2016) TCGA Workflow: analyze cancer genomics and epigenomics data using bioconductor packages. F1000Research 5:1542

    Article  PubMed  PubMed Central  Google Scholar 

  30. Gao Y, Zhao F (2018) Computational strategies for exploring circular RNAs. Trends Genet 34(5):389–400

    Article  CAS  PubMed  Google Scholar 

  31. Li X, Chu C, Pei J, Măndoiu I, Wu Y (2018) CircMarker: a fast and accurate algorithm for circular RNA detection. BMC Genom 19(6):175

    Google Scholar 

  32. Rong D, Sun H, Li Z, Liu S, Dong C, Fu K, Tang W, Cao H (2017) An emerging function of circRNA-miRNAs-mRNA axis in human diseases. Oncotarget 8(42):73271

    Article  PubMed  PubMed Central  Google Scholar 

  33. D-d Xiong, Y-w Dang, Lin P, D-y Wen, R-q He, D-z Luo, Z-b Feng, Chen G (2018) A circRNA–miRNA–mRNA network identification for exploring underlying pathogenesis and therapy strategy of hepatocellular carcinoma. J Transl Med 16(1):220

    Article  CAS  Google Scholar 

  34. Nair AA, Niu N, Tang X, Thompson KJ, Wang L, Kocher J-P, Subramanian S, Kalari KR (2016) Circular RNAs and their associations with breast cancer subtypes. Oncotarget 7(49):80967

    Article  PubMed  PubMed Central  Google Scholar 

  35. Schiavon G, Smid M, Gupta GP, Redana S, Santini D, Martens JW (2012) Heterogeneity of breast cancer: gene signatures and beyond. In: Russo A, Iacobelli S, Iovanna J (eds) Diagnostic, prognostic and therapeutic value of gene signatures. Humana Press, New York, pp 13–25

    Chapter  Google Scholar 

  36. Giza DE, Vasilescu C, Calin GA (2014) MicroRNAs and ceRNAs: therapeutic implications of RNA networks. Expert Opin Biol Ther 14(9):1285–1293

    Article  CAS  PubMed  Google Scholar 

  37. Ivanov A, Memczak S, Wyler E, Torti F, Porath HT, Orejuela MR, Piechotta M, Levanon EY, Landthaler M, Dieterich C (2015) Analysis of intron sequences reveals hallmarks of circular RNA biogenesis in animals. Cell Rep 10(2):170–177

    Article  CAS  PubMed  Google Scholar 

  38. Ashwal-Fluss R, Meyer M, Pamudurti NR, Ivanov A, Bartok O, Hanan M, Evantal N, Memczak S, Rajewsky N, Kadener S (2014) circRNA biogenesis competes with pre-mRNA splicing. Mol Cell 56(1):55–66

    Article  CAS  PubMed  Google Scholar 

  39. Venables JP, Klinck R, Koh C, Gervais-Bird J, Bramard A, Inkel L, Durand M, Couture S, Froehlich U, Lapointe E (2009) Cancer-associated regulation of alternative splicing. Nat Struct Mol Biol 16(6):670

    Article  CAS  PubMed  Google Scholar 

  40. Mayr C, Bartel DP (2009) Widespread shortening of 3′ UTRs by alternative cleavage and polyadenylation activates oncogenes in cancer cells. Cell 138(4):673–684

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Grimson A, Farh KK-H, Johnston WK, Garrett-Engele P, Lim LP, Bartel DP (2007) MicroRNA targeting specificity in mammals: determinants beyond seed pairing. Mol Cell 27(1):91–105

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Qi X, Zhang D-H, Wu N, Xiao J-H, Wang X, Ma W (2015) ceRNA in cancer: possible functions and clinical implications. J Med Genet 52(10):710–718

    Article  PubMed  CAS  Google Scholar 

  43. He Y, Yu D, Zhu L, Zhong S, Zhao J, Tang J (2018) miR-149 in human cancer: a systemic review. J Cancer 9(2):375

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Tsai H-P, Huang S-F, Li C-F, Chien H-T, Chen S-C (2018) Differential microRNA expression in breast cancer with different onset age. PLoS ONE 13(1):e0191195

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Sharifi M, Moridnia A (2017) Apoptosis-inducing and antiproliferative effect by inhibition of miR-182-5p through the regulation of CASP9 expression in human breast cancer. Cancer Gene Ther 24(2):75

    Article  CAS  PubMed  Google Scholar 

  46. Gilam A, Conde J, Weissglas-Volkov D, Oliva N, Friedman E, Artzi N, Shomron N (2016) Local microRNA delivery targets Palladin and prevents metastatic breast cancer. Nat Commun 7:12868

    Article  PubMed  PubMed Central  Google Scholar 

  47. Selcuklu S, Yakicier M, Erson A (2009) An investigation of microRNAs mapping to breast cancer related genomic gain and loss regions. Cancer Genet Cytogenet 189(1):15–23

    Article  CAS  PubMed  Google Scholar 

  48. He Z, Cen D, Luo X, Li D, Li P, Liang L, Meng Z (2013) Downregulation of miR-383 promotes glioma cell invasion by targeting insulin-like growth factor 1 receptor. Med Oncol 30(2):557

    Article  PubMed  CAS  Google Scholar 

  49. Harvey RF, Smith TS, Mulroney T, Queiroz RM, Pizzinga M, Dezi V, Villenueva E, Ramakrishna M, Lilley KS, Willis AE (2018) Trans-acting translational regulatory RNA binding proteins. Wiley Interdiscip Rev RNA 9(3):e1465

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  50. Flint DJ, Tonner E, Allan GJ (2000) Insulin-like growth factor binding proteins: IGF-dependent and-independent effects in the mammary gland. J Mammary Gland Biol Neoplasia 5(1):65–73

    Article  CAS  PubMed  Google Scholar 

  51. Patel AV, Cheng I, Canzian F, Le Marchand L, Thun MJ, Berg CD, Buring J, Calle EE, Chanock S, Clavel-Chapelon F (2008) IGF-1, IGFBP-1, and IGFBP-3 polymorphisms predict circulating IGF levels but not breast cancer risk: findings from the Breast and Prostate Cancer Cohort Consortium (BPC3). PLoS ONE 3(7):e2578

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  52. He X, Arslan A, Ho T, Yuan C, Stampfer M, Beck W (2014) Involvement of polypyrimidine tract-binding protein (PTBP1) in maintaining breast cancer cell growth and malignant properties. Oncogenesis 3(1):e84

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Wang J, Guo Y, Chu H, Guan Y, Bi J, Wang B (2013) Multiple functions of the RNA-binding protein HuR in cancer progression, treatment responses and prognosis. Int J Mol Sci 14(5):10015–10041

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. Chou S-D, Murshid A, Eguchi T, Gong J, Calderwood SK (2015) HSF1 regulation of β-catenin in mammary cancer cells through control of HuR/elavL1 expression. Oncogene 34(17):2178

    Article  CAS  PubMed  Google Scholar 

  55. Liu Y, Li J, Ma Z, Zhang J, Wang Y, Yu Z, Lin X, Xu Z, Su Q, An L (2019) Oncogenic functions of protein kinase D2 and D3 in regulating multiple cancer-related pathways in breast cancer. Cancer Med 8(2):729–741

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Ke H, Zhao L, Feng X, Xu H, Zou L, Yang Q, Su X, Peng L, Jiao B (2016) NEAT1 is required for survival of breast cancer cells through FUS and miR-548. Gene Regul Syst Biol 10:GRSB.S29414

  57. Lucá R, Averna M, Zalfa F, Vecchi M, Bianchi F, La Fata G, Del Nonno F, Nardacci R, Bianchi M, Nuciforo P (2013) The fragile X protein binds mRNAs involved in cancer progression and modulates metastasis formation. EMBO Mol Med 5(10):1523–1536

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Morettin A, Paris G, Bouzid Y, Baldwin RM, Falls TJ, Bell JC, Côté J (2017) Tudor domain containing protein 3 promotes tumorigenesis and invasive capacity of breast cancer cells. Sci Rep 7(1):5153

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Ye Z, Jin H, Qian Q (2015) Argonaute 2: a novel rising star in cancer research. J Cancer 6(9):877

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Bellissimo T, Tito C, Ganci F, Sacconi A, Masciarelli S, Di Martino G, Porta N, Cirenza M, Sorci M, De Angelis L (2019) Argonaute 2 drives miR-145-5p-dependent gene expression program in breast cancer cells. Cell Death Dis 10(1):17

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  61. Scully OJ, Bay B-H, Yip G, Yu Y (2012) Breast cancer metastasis. Cancer Genom Proteom 9(5):311–320

    CAS  Google Scholar 

  62. Neupane M, Clark AP, Landini S, Birkbak NJ, Eklund AC, Lim E, Culhane AC, Barry WT, Schumacher SE, Beroukhim R (2016) MECP2 is a frequently amplified oncogene with a novel epigenetic mechanism that mimics the role of activated RAS in malignancy. Cancer Discov 6(1):45–58

    Article  CAS  PubMed  Google Scholar 

  63. Ray BK, Dhar S, Henry CJ, Rich A, Ray A (2012) Epigenetic regulation by Z-DNA silencer function controls cancer-associated ADAM-12 expression in breast cancer: cross talk between MECP2 and NFI transcription factor family. Cancer Res 2601:2012

    Google Scholar 

  64. Guo S, Liu M, Gonzalez-Perez RR (2011) Role of Notch and its oncogenic signaling crosstalk in breast cancer. Biochim Biophys Acta (BBA) Rev Cancer 1815(2), 197–213.

    Article  CAS  Google Scholar 

  65. Imatani A, Callahan R (2000) Identification of a novel NOTCH-4/INT-3 RNA species encoding an activated gene product in certain human tumor cell lines. Oncogene 19(2):223

    Article  CAS  PubMed  Google Scholar 

  66. Zhang Z, Wang H, Ikeda S, Fahey F, Bielenberg D, Smits P, Hauschka PV (2010) Notch3 in human breast cancer cell lines regulates osteoblast-cancer cell interactions and osteolytic bone metastasis. Am J Pathol 177(3):1459–1469

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Soares R, Balogh G, Guo S, Gartner F, Russo J, Schmitt F (2004) Evidence for the notch signaling pathway on the role of estrogen in angiogenesis. Mol Endocrinol 18(9):2333–2343

    Article  CAS  PubMed  Google Scholar 

  68. Weijzen S, Rizzo P, Braid M, Vaishnav R, Jonkheer SM, Zlobin A, Osborne BA, Gottipati S, Aster JC, Hahn WC (2002) Activation of Notch-1 signaling maintains the neoplastic phenotype in human Ras-transformed cells. Nat Med 8(9):979

    Article  CAS  PubMed  Google Scholar 

  69. Hong D, Messier TL, Tye CE, Dobson JR, Fritz AJ, Sikora KR, Browne G, Stein JL, Lian JB, Stein GS (2017) Runx1 stabilizes the mammary epithelial cell phenotype and prevents epithelial to mesenchymal transition. Oncotarget 8(11):17610

    Article  PubMed  PubMed Central  Google Scholar 

  70. Browne G, Taipaleenmäki H, Bishop NM, Madasu SC, Shaw LM, Van Wijnen AJ, Stein JL, Stein GS, Lian JB (2015) Runx1 is associated with breast cancer progression in MMTV-PyMT transgenic mice and its depletion in vitro inhibits migration and invasion. J Cell Physiol 230(10):2522–2532

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Azimi I, Roberts-Thomson S, Monteith G (2014) Calcium influx pathways in breast cancer: opportunities for pharmacological intervention. Br J Pharmacol 171(4):945–960

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Grice DM, Vetter I, Faddy HM, Kenny PA, Roberts-Thomson SJ, Monteith GR (2010) The Golgi calcium pump secretory pathway calcium ATPase 1 (SPCA1) is a key regulator of insulin-like growth factor receptor (IGF1R) processing in the basal-like breast cancer cell line MDA-MB-231. J Biol Chem M110:163329

    Google Scholar 

  73. VanHouten J, Sullivan C, Bazinet C, Ryoo T, Camp R, Rimm DL, Chung G, Wysolmerski J (2010) PMCA2 regulates apoptosis during mammary gland involution and predicts outcome in breast cancer. Proc Natl Acad Sci 107(25):11405–11410

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Nagano M, Hoshino D, Koshikawa N, Akizawa T, Seiki M (2012) Turnover of focal adhesions and cancer cell migration. Int J Cell Biol 2012:310616

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  75. Ghiso JAA (2002) Inhibition of FAK signaling activated by urokinase receptor induces dormancy in human carcinoma cells in vivo. Oncogene 21(16):2513

    Article  CAS  Google Scholar 

  76. Luo M, Fan H, Nagy T, Wei H, Wang C, Liu S, Wicha MS, Guan J-L (2009) Mammary epithelial-specific ablation of the focal adhesion kinase suppresses mammary tumorigenesis by affecting mammary cancer stem/progenitor cells. Can Res 69(2):466–474

    Article  CAS  Google Scholar 

  77. Frisch SM, Screaton RA (2001) Anoikis mechanisms. Curr Opin Cell Biol 13(5):555–562

    Article  CAS  PubMed  Google Scholar 

  78. Luo M, Guan J-L (2010) Focal adhesion kinase: a prominent determinant in breast cancer initiation, progression and metastasis. Cancer Lett 289(2):127–139

    Article  CAS  PubMed  Google Scholar 

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  1. Medical Biotechnology Department, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran

    Farzaneh Afzali & Mahdieh Salimi

  2. Pars Silico Bioinformatics Laboratory, Tehran, Iran

    Farzaneh Afzali

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  1. Farzaneh Afzali
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MS conceptualized and supervised the project. FA performed and analyzed all the data. MS and FA have deciphered the analyzed data. FA wrote the manuscript and all the authors read and edited the manuscript.

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Correspondence to Mahdieh Salimi.

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Afzali, F., Salimi, M. Unearthing Regulatory Axes of Breast Cancer circRNAs Networks to Find Novel Targets and Fathom Pivotal Mechanisms. Interdiscip Sci Comput Life Sci 11, 711–722 (2019). https://doi.org/10.1007/s12539-019-00339-6

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