Yasemin Anıl Eyüboğlu Tanrıverdi, Furkan Ertürk Urfalı, Kıyasettin Asil, Mine Urfalı, Havva Belma Koçer

İnvaziv Duktal Meme Kanserli Genç OlgulardaMR Bulgularının, BRCA Mutasyon veİmmünohistokimyasal Sonuçları ile Korelasyonu

Amaç İnvaziv duktal karsinomalı 40 yaş altı hastalarda; immünohistokimyasal değerlendirme ve meme kanseri duyarlılık (BRCA) mutasyonları ile manyetik rezonans görüntülemede su ve yağın yankı asimetrisi ve en küçük kareler tahmini ile yinelemeli ayrışımı (IDEAL) ve Kartezyen sıralaması ile diferansiyel alt örnekleme (DISCO) sekanslarda elde edilen sinyal değerlerinin ilişkisini belirlemeyi amaçladık. ( Sakarya Tıp Dergisi 2019, 9(3):406-411 )Gereç ve YöntemlerÇalışmamıza retrospektif olarak yaşları 30 ile 40 arasında değişen, patolojik olarak invaziv duktal meme kanseri tanısı alan 20 kadın hasta dahil edildi. Vakalarda immünohistokimyasal çalışmaların sonuçları araştırmaya dahil edildi. Ayrıca bu sonuçlara göre hastalar lüminal A, lüminal B, Her2 (+) ve triple negatif kanser (TNC) gruplarına ayrıldı. BRCA 1 ve 2 mutasyonu analizi yapıldı. Tedavi öncesi intravenöz Gadoliniumlu meme Manyetik rezonans görüntüleme (MRG) tetkiklerinde IDEAL ve DISCO sekanslarında lezyon, meme glandüler dokusu ve yağ dokusu değerleri ölçüldü. Veriler istatistiki olarak değerlendirildi.Bulgular Çalışmaya alınan hastaların yaşları 30-40 arasında idi. Luminal A ve TNC grupları arasında MRG sinyal değerlerinde DISCO ve IDEAL sekansta lezyon/ yağ doku sinyali arasında ve IDEAL sekansta lezyon sinyali/meme dokusu sinyali arasında anlamlı fark mevcuttu. E kaderin ile IDEAL sekansta lezyon/meme dokusu sinyali arasında korelasyon anlamlı idi (r: 0,446; p: 0,049).Sonuç Luminal A ve TNC gruplarında farklılıklar olduğunu ve bu sayede bu iki grubun tanı sürecinde ayrılabilme ihtimali olduğu, lezyon boyutu ve lokal agresif davranışı gösteren E kaderin ile IDEAL sekansta sinyal değerinin ilişkili olduğunu bulduk.

Correlation of MRI Findings with BRCA Mutation and Immunohistochemical Results in Young Patients with Invasive Ductal Breast Cancer

Objective The aim of this study was to determine the correlation between differential sub-sampling with cartesian ordering (DISCO) and Iterative decomposition of water and fat with echo asymmetryand least-squares estimation (IDEAL) values in magnetic resonance imaging with breast cancer susceptibility (BRCA) mutation analyses and immunohistochemical evaluation.( Sakarya Med J 2019, 9(3):406-411 ). Materialsand Methods Twenty female patients between 30 and 40 years of age with pathologically diagnosed as invasive ductal breast cancer were included in our study. The values of immunohistochemical studieswere included in the study and patients were classified as luminal A, luminal B, Her2 (+) and triple negative cancer(TNC). BRCA1 and 2 mutation analysis were performed. Lesions, breastglandular tissue and fat tissue values were measured in IDEAL and DISCO sequences of pre-treatment intravenous Gadolinium breast MRI examinations. The data were evaluated statistically. Results The age of the patients included in the study was 30-40. There was a significant difference between the Luminal A and TNC groups in the MRI signal values between lesion / fat tissue signal inDISCO and IDEAL sequela and in lesion signal / breast tissue signal in IDEAL sequencing. Correlation between E-cadherin and IDEAL sequelae was significant. Conclusion We found that there were differences in the Luminal A and TNC groups, and that there was a possibility that these two groups could be separated during the diagnostic process, and that theE-cadherin showing lesion size and local aggressive behavior was correlated with the signal value in the IDEAL sequence.

PDF

___

1. Shao G, Fan L, Zhang J, Dai G, Xie T. Association of DW/DCE-MRI Features with Prognostic Factors in Breast Cancer. Th e International Journal of Biological Markers 2017; 32(1):e118-e125.
2. Bray F, McCarron P, Parkin DM. Th e changing global patterns of female breast cancer incidence and mortality. Breast Cancer Research 2004; 6(6):229-239.
3. Hylton NM, Blume JD, Bernreuter WK, Pisano ED, Rosen MA, Morris EA, et al. Locally advanced breast cancer: MRI imaging for prediction of response to neoadjuvant chemother-apy — results from ACRIN 6657/I-SPY TRIAL. Radiology 2012; 263(3):663-672.
4. Modified from Schnitt SJ. Will molecular classification replace traditional breast pathology? Int J Surg Pathol 2010; 18:162S-166S.
5. Correa Geyer F, Reis-Filho JS. Microarray-based gene expression profiling as a clinical tool for breast cancer management: are we there yet? Int J Surg Pathol 2009; 17:285-302.
6. Wang F, Fang Q, Ge Z, Yu N, Xu S, Fan X. Common BRCA1 and BRCA2 mutations in breast cancer families: a meta-analysis from systematic review. Molecular biology reports 2012; 39:2109–2118.
7. Bordeleau L, Panchal S, Goodwin P. Prognosis of BRCA-associated breast cancer: a summary of evidence. Breast cancer research and treatment 2010; 119:13–24.
8. Bleyer A, Welch G. Eff ect of Th ree Decades of Screening Mammography on Breast-Cancer Incidence. N Engl J Med 2012; 367:1998-2005.
9. Kuhl CK. Current status of breast MRI imaging. Part 2. Clinical applications. Radiology 2007; 244(3):672-691.
10. Chang YW, Kwon KH, Choi DL, Lee DW, Lee HK, Yang SB, Kim Y, Seo DY. Magnetic Resonance Imaging of Breast Cancer and Correlation with Prognostic Factors. Acta Radiologica 2009; 50(9):990-998.
11. Alili C, Pages E, Curros Doyon F, Perrochia H, Millet I, Taourel P. Correlation between MR imaging — prognosis factors and molecular classification of breast cancers. Diagnostic and Interventional Imaging 2014; 95:235-242.
12. Kim H, Cho J, Kwon SY, Kang SH. Biologic subtype is a more important prognostic factor than nodal involvement in patients with stages I and II breast carcinoma. Ann Surg Treat Res 2016; 90(1):1-9
13. Reddy SM, Barcenas CH, Sinha AK, Hsu L, Moulder SL, Tripathy D, Hortobagyi GN, Valero V. Long-term survival outcomes of triple-receptor negative breast cancer survivors who are disease free at 5 years and relationship with low hormone receptor positivity. British Journal of Cancer 2018; 118:17–23.
14. Turan N, Ergen A, Arıkan S, Yaylım I, Isbir T. Th e Role Of Mmp-3 And E-cadherin Polymorphisms In Breast Tumours. Deneysel Tıp Araştırma Enstitüsü Dergisi 2012; 2(4):30-37