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Evaluation of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer

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Abstract

Purpose

To evaluate the clinical value of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer (BC).

Methods

129 patients with BC and 50 patients with benign breast lesions were selected. They were scanned by color Doppler ultrasound on the breast. The relative expression of miR-21 and miR-27a in plasma was detected by real-time fluorescence quantitative PCR. The clinical value of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of BC was analyzed retrospectively.

Results

Two-dimensional ultrasound images of BC showed irregular shape, unclear boundary, burr-like edge, uneven internal echo, weakened rear echo, microcalcification, aspect ratio > 1 and axillary lymph node metastasis. The grade of blood flow signal was improved, mainly in grade II and above, which was statistically different from that of benign control group (P < 0.001). The relative expression of plasma miR-21 and miR-27a in breast cancer group was significantly higher than that in benign control group (P < 0.001). The relative expressions of plasma miR-21 and miR-27a in breast cancer group were significantly correlated with histological grade, clinical stage, lymph node metastasis and postoperation. The relative expression levels of miR-21 and miR-27a in plasma of patients with low histological grade (grade III), high clinical stage (stage III, IV) and lymph node metastasis before operation were significantly higher than those in patients with high histological grade (grade I, II), low clinical stage (stage I, II) and no lymph node metastasis after operation (P < 0.01). The sensitivity, accuracy and negative predictive value of ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of BC were significantly higher than those of each single examination.

Conclusions

Color Doppler ultrasound combined with plasma miR-21 and miR-27a can significantly improve the diagnostic efficiency of BC, which is beneficial to early diagnosis and early clinical intervention.

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References

  1. Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J, Cardoso F. Breast cancer. Nat Rev Dis Primers. 2019;5:66.

    Article  Google Scholar 

  2. Jia Y, Lu Y, Wu K, Lin Q, Shen W, Zhu M, Huang S, Chen J. Does night work increase the risk of breast cancer? A systematic review and meta-analysis of epidemiological studies. Cancer Epidemiol. 2013;37:197–206.

    Article  Google Scholar 

  3. Ariaans G, Jalving M, de Vries EGE, de Jong S. Anti-tumor effects of everolimus and metformin are complementary and glucose-dependent in breast cancer cells. BMC Cancer. 2017;17:232.

    Article  Google Scholar 

  4. Zob D, Vasilescu M, Gruia M, Anghel R. Breast cancer. Screening criteria. Chirurgia (Bucur). 2013;108:557–62.

    CAS  PubMed  Google Scholar 

  5. Wang W, Xu X, Tian B, Wang Y, Du L, Sun T, Shi Y, Zhao X, Jing J. The diagnostic value of serum tumor markers CEA, CA19-9, CA125, CA15-3, and TPS in metastatic breast cancer. Clin Chim Acta. 2017;470:51–5.

    Article  CAS  Google Scholar 

  6. Lee YS, Dutta A. MicroRNAs in cancer. Annu Rev Pathol. 2009;4:199–227.

    Article  CAS  Google Scholar 

  7. Heneghan HM, Miller N, Kerin MJ. Circulating microRNAs: Promising breast cancer biomarkers. Breast Cancer Res. 2011;13:402.

    Article  Google Scholar 

  8. Roth C, Rack B, Müller V, Janni W, Pantel K, Schwarzenbach H. Circulating microRNAs as blood-based markers for patients with primary and metastatic breast cancer. Breast Cancer Res. 2010;12:R90.

    Article  CAS  Google Scholar 

  9. Madhavan D, Zucknick M, Wallwiener M, Cuk K, Modugno C, Scharpff M, Schott S, Heil J, Turchinovich A, Yang R, et al. Circulating miRNAs as surrogate markers for circulating tumor cells and prognostic markers in metastatic breast cancer. Clin Cancer Res. 2012;18:5972–82.

    Article  CAS  Google Scholar 

  10. Singh R, Ramasubramanian B, Kanji S, Chakraborty AR, Haque SJ, Chakravarti A. Circulating microRNAs in cancer: hope or hype? Cancer Lett. 2016;381:113–21.

    Article  CAS  Google Scholar 

  11. Zhu S, Wu H, Wu F, Nie D, Sheng S, Mo YY. MicroRNA-21 targets tumor suppressor genes in invasion and metastasis. Cell Res. 2008;18:350–9.

    Article  CAS  Google Scholar 

  12. Si H, Sun X, Chen Y, Cao Y, Chen S, Wang H, Hu C. Circulating microRNA-92a and microRNA-21 as novel minimally invasive biomarkers for primary breast cancer. J Cancer Res Clin Oncol. 2013;139:223–9.

    Article  CAS  Google Scholar 

  13. Pan F, Mao H, Deng L, Li G, Geng P. Prognostic and clinicopathological significance of microRNA-21 overexpression in breast cancer: a meta-analysis. Int J Clin Exp Pathol. 2014;7:5622–33.

    PubMed  PubMed Central  Google Scholar 

  14. Mourelatos Z, Dostie J, Paushkin S, Sharma A, Charroux B, Abel L, Rappsilber J, Mann M, Dreyfuss G. miRNPs: A novel class of ribonucleoproteins containing numerous microRNAs. Genes Dev. 2002;16:720–8.

    Article  CAS  Google Scholar 

  15. Zhang S, Ma C, Pang H, Zeng F, Cheng L, Fang B, Ma J, Shi Y, Hong H, Chen J, Wang Z, et al. Arsenic trioxide suppresses cell growth and migration via inhibition of miR-27a in breast cancer cells. Biochem Biophys Res Commun. 2016;469:55–61.

    Article  CAS  Google Scholar 

  16. Xia J, Cheng L, Mei C, Ma J, Shi Y, Zeng F, Wang Z, Wang Z. Genistein inhibits cell growth and invasion through regulation of miR-27a in pancreatic cancer cells. Curr Pharm Des. 2014;20:5348–53.

    Article  CAS  Google Scholar 

  17. Jurkovicova D, Magyerkova M, Sestakova Z, Copakova L, Bella V, Konecny M, Krivjanska M, Kulcsar L, Chovanec M. Evaluation of expression profiles of microRNAs and two target genes, FOXO3a and RUNX2, effectively supports diagnostics and therapy predictions in breast cancer. Neoplasma. 2016;63:941–51.

    Article  CAS  Google Scholar 

  18. Vanel D. The American College of (ACR) breast imaging and reporting data system (BI-RADS): a step towards a universal radiological language? Eur J Radiol. 2007;61:183.

    Article  Google Scholar 

  19. Hong AS, Rosen EL, Soo MS, Baker JA. BI-RADS for sonography: positive and negative predictive values of sonographic features. AJR Am J Roentgenol. 2005;184:1260–5.

    Article  Google Scholar 

  20. Al-Hilli Z, Hieken TJ, Boughey JC. Axillary ultrasound in the management of the newly diagnosed breast cancer patient. Breast J. 2015;21:634–41.

    Article  Google Scholar 

  21. Sprague BL, Stout NK, Schechter C, van Ravesteyn NT, Cevik M, Alagoz O, Lee CI, van den Broek JJ, Miglioretti DL, Mandelblatt JS, et al. Benefits, harms, and cost-effectiveness of supplemental ultrasonography screening for women with dense breasts. Ann Intern Med. 2015;162:157–66.

    Article  Google Scholar 

  22. Houssami N, Turner RM, Cody HS. Reply to letter: “preoperative ultrasound-guided needle biopsy of axillary nodes in invasive breast cancer: meta-analysis of its accuracy and utility in staging the axilla”. Ann Surg. 2015;262:e22–e23.

    Article  Google Scholar 

  23. Yağcı B, Toslak IE, Çekiç B, Öz M, Karakaş BR, Akdemir M, Yıldız S, Süren D, Bova D. Differentiation between idiopathic granulomatous mastitis and malignant breast lesions using strain ratio on ultrasonic elastography. Diagn Interv Imaging. 2017;98:685–91.

    Article  Google Scholar 

  24. Stöblen F, Landt S, Ishaq R, Stelkens-Gebhardt R, Rezai M, Skaane P, Blohmer J, Sehouli J, Kümmel S. High-frequency breast ultrasound for the detection of microcalcifications and associated masses in BI-RADS 4a patients. Anticancer Res. 2011;31:2575–81.

    PubMed  Google Scholar 

  25. Shen S, Zhou Y, Xu Y, Zhang B, Duan X, Huang R, Li B, Shi Y, Shao Z, Liao H, et al. A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women. Br J Cancer. 2015;112:998–1004.

    Article  CAS  Google Scholar 

  26. Mar-Aguilar F, Luna-Aguirre CM, Moreno-Rocha JC, Araiza-Chávez J, Trevino V, Rodríguez-Padilla C, Reséndez-Pérez D. Differential expression of miR-21, miR-125b and miR-191 in breast cancer tissue. Asia Pac J Clin Oncol. 2013;9:53–9.

    Article  Google Scholar 

  27. Yan LX, Huang XF, Shao Q, Huang MY, Deng L, Wu QL, Zeng YX, Shao JY. MicroRNA miR-21 overexpression in human breast cancer is associated with advanced clinical stage, lymph node metastasis and patient poor prognosis. RNA. 2008;14:2348–60.

    Article  CAS  Google Scholar 

  28. Petrović N, Mandušić V, Stanojević B, Lukić S, Todorović L, Roganović J, Dimitrijević B. The difference in miR-21 expression levels between invasive and non-invasive breast cancers emphasizes its role in breast cancer invasion. Med Oncol. 2014;31:867.

    Article  Google Scholar 

  29. Liu T, Tang H, Lang Y, Liu M, Li X. MicroRNA-27a functions as an oncogene in gastric adenocarcinoma by targeting prohibitin. Cancer Lett. 2009;273:233–42.

    Article  CAS  Google Scholar 

  30. Jiang G, Shi W, Fang H, Zhang X. miR-27a promotes human breast cancer cell migration by inducing EMT in a FBXW7-dependent manner. Mol Med Rep. 2018;18:5417–26.

    CAS  PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Ultrasound, Jinan City People’s Hospital, Jinan People’s Hospital Affiliated to Shandong First Medical University, Jinan, 271199, China

    M. Li

  2. Department of Ultrasound, Weifang Traditional Chinese Hospital, Weifang, 261041, China

    Q. Li

  3. Department of Oncology, People’s Hospital of Rizhao, Rizhao, 276800, China

    Q. Yin

  4. Department of Health Management, The People’s Hospital of Zhangqiu Area, Jinan, 250200, China

    Y. Wang

  5. Department of Radiology, The People’s Hospital of Zhangqiu Area, Jinan, 250200, China

    J.M. Shang

  6. Department of Ultrsound, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, 758 Hefei Road, Qingdao, 266035, Shandong, China

    L.H. Wang

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  1. M. Li
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  4. Y. Wang
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Contributions

ML, QL and LW conceived and designed the study. ML, QY, YW and JS were responsible for the collection and analysis of the experimental data. QL, QY and YW interpreted the data and drafted the manuscript. ML and LW revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to L.H. Wang.

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The authors declare that they have no conflict of interest.

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The study was approved by Ethical Committee of Jinan People’s Hospital Affiliated to Shandong First Medical University and conducted in accordance with the ethical standards.

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Li, M., Li, Q., Yin, Q. et al. Evaluation of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer. Clin Transl Oncol 23, 709–717 (2021). https://doi.org/10.1007/s12094-020-02501-9

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  • DOI: https://doi.org/10.1007/s12094-020-02501-9

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