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Correlation analysis between shear-wave elastography and pathological profiles in breast cancer

  • Preclinical study
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Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

To explore the correlation between shear-wave elastography (SWE) parameters and pathological profiles of invasive breast cancer.

Methods

A total of 197 invasive breast cancers undergoing preoperative SWE and primary surgical treatment were included. Maximum elastic modulus (Emax), mean elastic modulus (Emean), and elastic modulus standard deviation (Esd) were calculated by SWE. Pathological profile was gold standard according to postoperative pathology. The relationship between SWE parameters and pathological factors were analyzed using univariate and multivariate analysis.

Results

In univariate analysis, large cancers showed significantly higher Emax, Emean and Esd (all P < 0.001). Emax and Esd in the group of histological grade III were higher than those in the group of grade I (both P < 0.05). Invasive lobular carcinomas (ILC) showed higher Emean than invasive ductal carcinoma (IDC) (P < 0.001). Lymphovascular invasion (LVI) group showed higher Emax values than negative group (P < 0.05). Emax, Emean and Esd of the Ki-67 positive group presented higher values than negative group (all P < 0.05). Androgen receptor (AR) positive lesions had lower Esd than AR negative lesions (P < 0.05). In multivariate analysis, invasive size independently influenced Emax (P < 0.001). Invasive size and pathological type both independently influenced Emean (both P < 0.001). Invasive size and AR status were both independently influenced Esd (both P < 0.05).

Conclusion

SWE parameters correlated with pathological profiles of invasive breast cancer.In particular, AR positive group showed significantly low Esd than negative group.

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Data availability

Enquiries about data availability should be directed to the authors.

Abbreviations

SWE:

Shear-wave elastography

Emax:

Maximum elastic modulus

Emean:

Mean elastic modulus

Esd:

Elastic modulus standard deviation

ILC:

Invasive lobular carcinomas

IDC:

Invasive ductal carcinoma

LVI:

Lymphovascular invasion

AR:

Androgen receptor

TNBC:

Triple negative breast cancer

FOV:

Field of view

ROI:

Regions of interest

TILs:

Tumor infiltrating lymphocytes

FISH:

Fluorescence in situ hybridization

ECM:

Extracellular matrix

AFM:

Atomic force microscopy

CSC:

Cancer stem-like cells

References

  1. Berg WA, Cosgrove DO, Dore CJ, Schafer FK, Svensson WE, Hooley RJ et al (2012) Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. Radiology 262:435–449

    Article  Google Scholar 

  2. Lee SH, Chang JM, Kim WH, Bae MS, Seo M, Koo HR et al (2014) Added value of shear-wave elastography for evaluation of breast masses detected with screening US imaging. Radiology 273:61–69

    Article  Google Scholar 

  3. Chang JM, Park IA, Lee SH, Kim WH, Bae MS, Koo HR et al (2013) Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer. Eur Radiol 23:2450–2458

    Article  Google Scholar 

  4. Youk JH, Gweon HM, Son EJ, Kim JA, Jeong J (2013) Shear-wave elastography of invasive breast cancer: correlation between quantitative mean elasticity value and immunohistochemical profile. Breast Cancer Res Treat 138:119–126

    Article  CAS  Google Scholar 

  5. Liu C, Zhou J, Chang C, Zhi W (2021) Feasibility of shear wave elastography imaging for evaluating the biological behavior of breast cancer. Front Oncol 11:820102

    Article  Google Scholar 

  6. Ganau S, Andreu FJ, Escribano F, Martin A, Tortajada L, Villajos M et al (2015) Shear-wave elastography and immunohistochemical profiles in invasive breast cancer: evaluation of maximum and mean elasticity values. Eur J Radiol 84:617–622

    Article  Google Scholar 

  7. Vasiliou SK, Diamandis EP (2019) Androgen receptor: A promising therapeutic target in breast cancer. Crit Rev Clin Lab Sci 56:200–223

    Article  CAS  Google Scholar 

  8. Yeh S, Hu YC, Wang PH, Xie C, Xu Q, Tsai MY et al (2003) Abnormal mammary gland development and growth retardation in female mice and MCF7 breast cancer cells lacking androgen receptor. J Exp Med 198:1899–1908

    Article  CAS  Google Scholar 

  9. Simanainen U, Gao YR, Walters KA, Watson G, Desai R, Jimenez M et al (2012) Androgen resistance in female mice increases susceptibility to DMBA-induced mammary tumors. Horm Cancer 3:113–124

    Article  CAS  Google Scholar 

  10. Missmer SA, Eliassen AH, Barbieri RL, Hankinson SE (2004) Endogenous estrogen, androgen, and progesterone concentrations and breast cancer risk among postmenopausal women. J Natl Cancer Inst 96:1856–1865

    Article  CAS  Google Scholar 

  11. Gucalp A, Tolaney S, Isakoff SJ, Ingle JN, Liu MC, Carey LA et al (2013) Phase II trial of bicalutamide in patients with androgen receptor-positive, estrogen receptor-negative metastatic Breast cancer. Clin Cancer Res 19:5505–5512

    Article  CAS  Google Scholar 

  12. Traina TA, Miller K, Yardley DA, Eakle J, Schwartzberg LS, O’Shaughnessy J et al (2018) Enzalutamide for the treatment of androgen receptor-expressing triple-negative breast cancer. J Clin Oncol 36:884–890

    Article  CAS  Google Scholar 

  13. Bae MS, Park SY, Song SE, Kim WH, Lee SH, Han W et al (2015) Heterogeneity of triple-negative breast cancer: mammographic, US, and MR imaging features according to androgen receptor expression. Eur Radiol 25:419–427

    Article  Google Scholar 

  14. Huang Y, Wei L, Hu Y, Shao N, Lin Y, He S et al (2021) Multi-parametric MRI-based radiomics models for predicting molecular subtype and androgen receptor expression in breast cancer. Front Oncol 11:706733

    Article  Google Scholar 

  15. Zhou J, Zhan W, Chang C, Zhang X, Jia Y, Dong Y et al (2014) Breast lesions: evaluation with shear wave elastography, with special emphasis on the “stiff rim” sign. Radiology 272:63–72

    Article  Google Scholar 

  16. Dieci MV, Mathieu MC, Guarneri V, Conte P, Delaloge S, Andre F et al (2015) Prognostic and predictive value of tumor-infiltrating lymphocytes in two phase III randomized adjuvant breast cancer trials. Ann Oncol 26:1698–1704

    Article  CAS  Google Scholar 

  17. Evans A, Whelehan P, Thomson K, McLean D, Brauer K, Purdie C et al (2012) Invasive breast cancer: relationship between shear-wave elastographic findings and histologic prognostic factors. Radiology 263:673–677

    Article  Google Scholar 

  18. Au FW, Ghai S, Lu FI, Moshonov H, Crystal P (2015) Quantitative shear wave elastography: correlation with prognostic histologic features and immunohistochemical biomarkers of breast cancer. Acad Radiol 22:269–277

    Article  Google Scholar 

  19. Evans A, Rauchhaus P, Whelehan P, Thomson K, Purdie CA, Jordan LB et al (2014) Does shear wave ultrasound independently predict axillary lymph node metastasis in women with invasive breast cancer? Breast Cancer Res Treat 143:153–157

    Article  Google Scholar 

  20. Denis M, Gregory A, Bayat M, Fazzio RT, Whaley DH, Ghosh K et al (2016) Correlating tumor stiffness with immunohistochemical subtypes of breast cancers: prognostic value of comb-push ultrasound shear elastography for differentiating luminal subtypes. PLoS ONE 11:e0165003

    Article  Google Scholar 

  21. Paramagul CP, Helvie MA, Adler DD (1995) Invasive lobular carcinoma: sonographic appearance and role of sonography in improving diagnostic sensitivity. Radiology 195:231–234

    Article  CAS  Google Scholar 

  22. Hu XQ, Peng L, Wintermark M, Lipson JA, Zhang YR, Gao Y (2021) Shear wave elastography of invasive ductal carcinoma: correlations between shear wave velocity and histological prognostic factors. Curr Med Sci 41:173–179

    Article  CAS  Google Scholar 

  23. Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, Gefen A et al (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8:241–254

    Article  CAS  Google Scholar 

  24. Hoyt K, Castaneda B, Zhang M, Nigwekar P, di Sant’agnese PA, Joseph JV et al (2008) Tissue elasticity properties as biomarkers for prostate cancer. Cancer Biomark 4:213–225

    Article  Google Scholar 

  25. Baker EL, Lu J, Yu D, Bonnecaze RT, Zaman MH (2010) Cancer cell stiffness: integrated roles of three-dimensional matrix stiffness and transforming potential. Biophys J 99:2048–2057

    Article  CAS  Google Scholar 

  26. Lopez JI, Mouw JK, Weaver VM (2008) Biomechanical regulation of cell orientation and fate. Oncogene 27:6981–6993

    Article  CAS  Google Scholar 

  27. Mouw JK, Yui Y, Damiano L, Bainer RO, Lakins JN, Acerbi I et al (2014) Tissue mechanics modulate microRNA-dependent PTEN expression to regulate malignant progression. Nat Med 20:360–367

    Article  CAS  Google Scholar 

  28. Levental KR, Yu H, Kass L, Lakins JN, Egeblad M, Erler JT et al (2009) Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell 139:891–906

    Article  CAS  Google Scholar 

  29. Ferraioli G, Tinelli C, Dal Bello B, Zicchetti M, Filice G, Filice C et al (2012) Accuracy of real-time shear wave elastography for assessing liver fibrosis in chronic hepatitis C: a pilot study. Hepatology 56:2125–2133

    Article  Google Scholar 

  30. Juge L, Doan BT, Seguin J, Albuquerque M, Larrat B, Mignet N et al (2012) Colon tumor growth and antivascular treatment in mice: complementary assessment with MR elastography and diffusion-weighted MR imaging. Radiology 264:436–444

    Article  Google Scholar 

  31. Chamming’s F, Latorre-Ossa H, Le Frere-Belda MA, Fitoussi V, Quibel T, Assayag F et al (2013) Shear wave elastography of tumour growth in a human breast cancer model with pathological correlation. Eur Radiol 23:2079–2086

    Article  Google Scholar 

  32. Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ et al (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6:798–808

    Article  Google Scholar 

  33. Li T, Sun L, Miller N, Nicklee T, Woo J, Hulse-Smith L et al (2005) The association of measured breast tissue characteristics with mammographic density and other risk factors for breast cancer. Cancer Epidemiol Biomarkers Prev 14:343–349

    Article  Google Scholar 

  34. Axelson H, Fredlund E, Ovenberger M, Landberg G, Pahlman S (2005) Hypoxia-induced dedifferentiation of tumor cells–a mechanism behind heterogeneity and aggressiveness of solid tumors. Semin Cell Dev Biol 16:554–563

    Article  CAS  Google Scholar 

  35. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF (2003) Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci USA 100:3983–3988

    Article  CAS  Google Scholar 

  36. Pang MF, Siedlik MJ, Han S, Stallings-Mann M, Radisky DC, Nelson CM (2016) Tissue stiffness and hypoxia modulate the integrin-linked kinase ILK to control breast cancer stem-like cells. Cancer Res 76:5277–5287

    Article  CAS  Google Scholar 

  37. Leng X, Japaer R, Zhang H, Yeerlan M, Ma F, Ding J (2021) Relationship of shear wave elastography anisotropy with tumor stem cells and epithelial-mesenchymal transition in breast cancer. BMC Med Imaging 21:171

    Article  Google Scholar 

  38. Al-Othman N, Hammad H, Ahram M (2018) Dihydrotestosterone regulates expression of CD44 via miR-328-3p in triple-negative breast cancer cells. Gene 675:128–135

    Article  CAS  Google Scholar 

  39. Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y et al (2011) Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest 121:2750–2767

    Article  CAS  Google Scholar 

  40. Park S, Koo JS, Kim MS, Park HS, Lee JS, Lee JS et al (2011) Androgen receptor expression is significantly associated with better outcomes in estrogen receptor-positive breast cancers. Ann Oncol 22:1755–1762

    Article  CAS  Google Scholar 

  41. Kim H, Lee J, Kang BJ, Kim SH (2021) What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness? Ultrasonography 40:265–273

    Article  Google Scholar 

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Funding

This work was supported by a grant from the National Natural Science Foundation of China Grant No. 82172025. Author Hong Lu has received research support. And it was also funded by Tianjin Key Medical Discipline(Specialty) Construction Project(TJYXZDXK-012A).

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Contributions

Conceptualization: HL, JL; Data curation: BS; Formal analysis: YL; Investigation: SL; Methodology: HL, JW; Project administration: YZ, HL; Resources: JL, BS; Supervision: YZ; Validation: YL; BS; Roles/Writing—original draft: JL, BS Writing—review and editing: JL, HL.

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Correspondence to Hong Lu.

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Li, J., Sun, B., Li, Y. et al. Correlation analysis between shear-wave elastography and pathological profiles in breast cancer. Breast Cancer Res Treat 197, 269–276 (2023). https://doi.org/10.1007/s10549-022-06804-z

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