MEME KANSERLİ HASTALAR VE BİRİNCİ DERECE YAKINLARINDA PERİFERAL TRANSKRİPTOM PROFİLLERİNİN ARAŞTIRILMASI Investigation of The Peripheral Transcriptome Profiles in Patients with Breast Carcinoma and Their First Degree Relative
Abstract
ÖZET
Amaç: Meme kanserinde gen ekspresyon profillerinin kantitatif olarak ölçümü klinik düzeyde önemli bir araç
olma potansiyeline sahiptir. Bu çalışmada, meme kanserli hastalar, bu hastaların birinci derece yakınlarının
periferal transkriptom profilleri sağlıklı kontrol grubu da dahil edilerek kantitatif olarak karşılaştırılması hedeflenmiştir.
Materyal-metod: Çalışma popülasyonu, cerrahi ve sonrasında kemoterapi ile tedavi edilmiş olup, radyoterapi
için kliniğimize başvuran 30 meme kanserli hasta (aile öyküsü olmayan sporadik vakalar), bu hastaların
30 kişilik birinci derece yakınları (kız kardeş veya kız çocukları) ve 30 kişilik sağlıklı, aile öyküsü negatif olan
bireylerden oluşmaktadır. Total genomik RNA, her üç grupta da periferal kandan ayrılmıştır ve gen ekspresyon
profilleri niceliksel olarak belirlenmiştir. Çalışmamızda 36 gen ürünü değerlendirilmiştir. Ancak sadece
ER, HER2, p53, GATA–3, GRB–7, EGFR, MYC, BCL–2, VEGF gibi 9 genin ekspresyon profilleri kantitatif olarak
ölçülebilmiştir.
Bulgular: Kantitatif olarak ölçülen 9 gen profili, her 3 grup için karşılaştırıldığında, gruplar arasında fark
saptanmamıştır (p<0.050). Ancak HER2, GATA3, GRB-7 ve EGFR’nin gen ekspresyon profilinin ortanca kantitatif
değerleri hasta grubunda, hasta yakını ve meme kanseri olmayan bireylere göre anlamlı daha yüksek
bulunmuştur (p<0.050).
Sonuç: HER2, GATA3, GRB-7 ve EGFR’nin gen profilinin kantitatif değerleri periferik kandan ölçülmüş olup,
hasta grubunda, hasta yakını ve meme kanseri olmayan bireylere göre anlamlı daha yüksek bulunmuştur.
Anahtar Kelimeler: Transkriptom profili; Meme kanseri; Epigenetik.
ABSTRACT
Objective: Quantitative measurement of gene expression profiles in breast cancer has the potential to be an
important tool. In this study, it was aimed to compare peripheral transcriptom profiles of the breast cancer
patients, the first-degree relatives of breast cancer patients with including healthy control group.
Material-Method: The study population consisted of 30 patients with breast cancer who were treated with
surgery and chemotherapy and who applied to our clinic for radiotherapy. 30 patients with breast cancer
are composed of individuals with negative family history. Total genomic RNA was separated from the peripheral
blood in all three groups, and gene expression profiles were quantitatively determined. In our study,
36 gene products were evaluated. However, expression profiles of only 9 genes such as ER, HER2, p53, GATA-
3, GRB-7, EGFR, MYC, BCL-2, VEGF were quantitatively measured.
Results: Nine gene profiles measured quantitatively, no difference was found between the groups (p
<0.050). However, the median quantitative values of the gene expression profile of HER2, GATA3, GRB-7
and EGFR were found to be significantly higher in the patient group (p <0.050).
Conclusion: The quantitative values of the gene profile of HER2, GATA3, GRB-7 and EGFR were measured
from peripheral blood, and were significantly higher in the patient group.
Keywords: Transcriptom profile; Breast cancer; Epigenetics.
References
- 1. Perou CM, Sorlie T, Eisen MB et al. Molecular portraits of human breast tumors. Nature 2000: 406:747-52. 2. Caldas C, Aparicio SA: The molecular outlook. Nature 2002: 415:484-485. 3. Heppner, G. H. and Miller, F. R. 1998 International Rev. Cytology, 1988: 177, 1-56. 4. Baylin, S. B.; Herman, J. G.; Graff, J. R.; Vertino, P. M. and Issa, J. P. Adv. In Cancer Res., 1998: 72, 141-196. 5. Jones, P. A. and Laird, P. W. Nat. Genet., 1999: 21, 163-167. 6. Conzen SD, Grushko TA, Olopade OI. The Moleculer Biology of Breast Cancer 43: 1; 1595–1605. 7. Onat H. Meme kanseri risk faktörleri ve korunma. In: Meme Kanser Ed E Topuz, A Aydıner, M Dinçer, 2003, 90-107. 8. Nasser SM. Gene expression profiling in breast cancer. J Med Liban. 2009;57(2): 83–88. 9. Kao J, Salari K, Bocanegra M. Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery Plos ONE 2009; 4(7):1-16.10. Stanley KK, Szewczuk E. Multiplexed Tandem PCR: gene profiling from small amounts of RNA using SYBR Gren detection. Nucleic Acids Research 2005; 33(20): 1-9. 11. Oğuz H, Yasasever V. Moleküler Tıpta Tümör Belirleyiciler. Türk Onkoloji Dergisi 2004; 19(1): 28-35. 12. Dalay N. Meme kanserinin biyolojik özellikleri Meme Kanseri. Nobel Tıp Kitapevi, 2003 34-71. 13. Gisterek I, Matkowski R, Lacko A et al. Serum Vascular Endothelial Growth Factors A, C nad D in Human Breast Tumors. Pathol Oncol Res. 2009 Oct 11. [Epub ahead of print] 126. Fang SH, Chen Y, Weigel RJ. GATA-3 as a Marker of Hormone Response in Breast Cancer The Journal of surgical research 2008:1-6. 14. Siamakpour-Reihani S, Argios HJ, Wilmeth LJ et al. The cell migration protein Grb7 associates with transcriptional regulator FHL2 in a Grb7 phosphorylation-dependent manner. J Mol Recognit. 2009; 22(1): 9–17. 15. Yasasever V, Karaoglu D, Yazici H. Serum neu oncoprotein levels as tumor marker in breast cancer. J Tumor Marker Oncol. 1992;7:33-42.
Abstract
References
- 1. Perou CM, Sorlie T, Eisen MB et al. Molecular portraits of human breast tumors. Nature 2000: 406:747-52. 2. Caldas C, Aparicio SA: The molecular outlook. Nature 2002: 415:484-485. 3. Heppner, G. H. and Miller, F. R. 1998 International Rev. Cytology, 1988: 177, 1-56. 4. Baylin, S. B.; Herman, J. G.; Graff, J. R.; Vertino, P. M. and Issa, J. P. Adv. In Cancer Res., 1998: 72, 141-196. 5. Jones, P. A. and Laird, P. W. Nat. Genet., 1999: 21, 163-167. 6. Conzen SD, Grushko TA, Olopade OI. The Moleculer Biology of Breast Cancer 43: 1; 1595–1605. 7. Onat H. Meme kanseri risk faktörleri ve korunma. In: Meme Kanser Ed E Topuz, A Aydıner, M Dinçer, 2003, 90-107. 8. Nasser SM. Gene expression profiling in breast cancer. J Med Liban. 2009;57(2): 83–88. 9. Kao J, Salari K, Bocanegra M. Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery Plos ONE 2009; 4(7):1-16.10. Stanley KK, Szewczuk E. Multiplexed Tandem PCR: gene profiling from small amounts of RNA using SYBR Gren detection. Nucleic Acids Research 2005; 33(20): 1-9. 11. Oğuz H, Yasasever V. Moleküler Tıpta Tümör Belirleyiciler. Türk Onkoloji Dergisi 2004; 19(1): 28-35. 12. Dalay N. Meme kanserinin biyolojik özellikleri Meme Kanseri. Nobel Tıp Kitapevi, 2003 34-71. 13. Gisterek I, Matkowski R, Lacko A et al. Serum Vascular Endothelial Growth Factors A, C nad D in Human Breast Tumors. Pathol Oncol Res. 2009 Oct 11. [Epub ahead of print] 126. Fang SH, Chen Y, Weigel RJ. GATA-3 as a Marker of Hormone Response in Breast Cancer The Journal of surgical research 2008:1-6. 14. Siamakpour-Reihani S, Argios HJ, Wilmeth LJ et al. The cell migration protein Grb7 associates with transcriptional regulator FHL2 in a Grb7 phosphorylation-dependent manner. J Mol Recognit. 2009; 22(1): 9–17. 15. Yasasever V, Karaoglu D, Yazici H. Serum neu oncoprotein levels as tumor marker in breast cancer. J Tumor Marker Oncol. 1992;7:33-42.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Health Care Administration |
| Journal Section | Case Report |
| Authors | |
| Publication Date | December 27, 2019 |
| Published in Issue | Year 2019 Volume: 9 Issue: 4 |