Correlation of MRI Findings with BRCA Mutation and Immunohistochemical Results in Young Patients with Invasive Ductal Breast Cancer.
Öz
Objective
The aim of this study was to determine the correlation between IDEAL and DISCO values in magnetic resonance imaging with BRCA mutation analyses and immunohistochemical evaluation, which is related to prognosis and have role in treatment selection in the breast cancer patients.
Materials and 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 studies were 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, breast glandular tissue and fat tissue values were measured in IDEAL and DISCO sequences of pre-treatment intravenous Gadolinium breast MRI examinations. The largest diameter, contours of the lesion and the presence of pathological axillary LAP were investigated. The data were evaluated statistically.
Result
The age of the patients included in the study was 30-40 (mean 36.20 ± 3.76 standard deviation). There was a correlation between lesion size and lesion's signals in MRI sequences, and there was a correlation between lesion signal size and size in the IDEAL sequence (r: 0,554 p: 0,011). There was a significant difference between the Luminal A and TNC groups in the MRI signal values between lesion / fat tissue signal in DISCO and IDEAL sequela and in lesion signal / breast tissue signal in IDEAL sequencing (p: 0.48, p: 0.24, p: 0,24 respectively). 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 the E-cadherin showing lesion size and local aggressive behavior was correlated with the signal value in the IDEAL sequence.
Anahtar Kelimeler
Magnetic resonance imaging immunohistochemical examination prognostic factors breast cancer BRCA
Kaynakça
- 1. Shao G, Fan L, Zhang J, Dai G, Xie T. Association of DW/DCE-MRI Features with Prognostic Factors in Breast Cancer. The International Journal of Biological Markers. 2017; 32(1):e118-e125.
- 2. Bray F, McCarron P, Parkin DM. The 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. Effect of Three 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. The Role Of Mmp-3 And E-cadherin Polymorphisms In Breast Tumours. Deneysel Tıp Araştırma Enstitüsü Dergisi. 2012; 2(4):30-37.
İnvaziv Duktal Meme Kanserli Genç Olgularda MR Bulgularının, BRCA Mutasyon ve İmmünohistokimyasal Sonuçları ile Korelasyonu.
Öz
Amaç
İnvaziv duktal karsinomalı 40 yaş altı hastalarda; prognozla ilişkisi belirlenen ve tedavi seçiminde rol oynayan immünohistokimyasal değerlendirme ve BRCA mutasyonları ile manyetik rezonans görüntülemede IDEAL ve DISCO sekanslarda elde edilen sinyal değerlerinin ilişkisini belirlemeyi amaçladık.
Gereç Yöntem
Çalışmamıza retrospektif olarak yaşları 30 ile 40 arasında değişen, patolojik olarak invaziv duktal meme kanseri tanısı alan 20 kadın hasta dahil edildi. Vakalar immünohistokimyasal çalışmaların değerleri araştırmaya dahil edildi ve ayrıca bunlara göre hastalar lüminal A, lüminal B, Her2 (+) ve triple negatif kanser(TNC) olarak sınıflandırıldı. BRCA 1 ve 2 mutasyonu analizi yapıldı. Tedavi öncesi intravenöz Gadoliniumlu meme MRG tetkiklerinde IDEAL ve DISCO sekanslarında lezyon, meme glandüler dokusu ve yağ dokusu değerleri ölçüldü. Lezyonun en geniş çapına, konturları, patolojik aksiller lenfadenopati varlığı bakıldı. Veriler istatistiki olarak değerlendirildi.
Bulgular
Çalışmaya alınan hastaların yaşları 30-40 arasında (ortalama 36,20 ± 3,76 standart sapma) idi. Lezyon boyutu ile lezyonun MRG sekanslarındaki sinyalleri arasında yapılan değerlendirmede IDEAL sekansta lezyon sinyali ile boyutu arasında korelasyon mevcuttu (r:0,554 p:0,011). 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 (sırasıyla p: 0,48, p:0,24, p: 0,24). 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.
Anahtar Kelimeler
Magnetik rezonans görüntüleme immünohistokimyasal tetkik prognostik faktörler meme kanseri BRCA
Kaynakça
- 1. Shao G, Fan L, Zhang J, Dai G, Xie T. Association of DW/DCE-MRI Features with Prognostic Factors in Breast Cancer. The International Journal of Biological Markers. 2017; 32(1):e118-e125.
- 2. Bray F, McCarron P, Parkin DM. The 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. Effect of Three 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. The Role Of Mmp-3 And E-cadherin Polymorphisms In Breast Tumours. Deneysel Tıp Araştırma Enstitüsü Dergisi. 2012; 2(4):30-37.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | Sağlık Kurumları Yönetimi |
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 16 Eylül 2019 |
| Gönderilme Tarihi | 2 Mayıs 2019 |
| Yayımlandığı Sayı | Yıl 2019 Cilt: 9 Sayı: 3 |
SMJ'de yayınlanan makaleler, Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı kapsamında lisanslanır