Journals / Turkish Journal of Medical Sciences / 2018 / Cilt: 48 - Sayı: 4

Detection of CCND1, C-MYC, and FGFR1 amplification using modified SYBR Green qPCR and FISH in breast cancer

Pages
759–767
Publication Date
2022-11-05
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

CCND1 amplificationwith tumor stage (P = 0.044), positive metastatic status (P = 0.042), positive family history (P = 0.042), and C-MYC status (P = 0.005);C-MYC amplification with tumor size (P = 0.021), tumor grade (P = 0.018), tumor stage (P = 0.032), and FGFR1 status (P < 0.000); andFGFR1 amplification with tumor size (P = 0.041) and positive ER status (P = 0.042) were statistically associated.Conclusion: Our findings revealed that the applied qPCR approach could precisely quantify the relative gene copy number.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Background/aim: The aims of this study were to detect CCND1, C-MYC, and FGFR1 amplification using qPCR, confirmation withFISH, and to further assess their clinicopathological relevance.Materials and methods: Thirty-five breast tumor samples were analyzed for amplification of the selected genes using modified SYBRGreen qPCR.
📊
Key Findings & Data:The accuracy of the qPCR was assessed by FISH as a gold-standard method.Results: CCND1, C-MYC, and FGFR1 amplifications were observed in 34.28%, 28.57%, and 17.14% of the 35 samples, respectively.qPCR results were significantly confirmed by FISH and qPCR and FISH showed excellent correlation (P = 0.000).
💡
Conclusion & Impact:CCND1 amplificationwith tumor stage (P = 0.044), positive metastatic status (P = 0.042), positive family history (P = 0.042), and C-MYC status (P = 0.005);C-MYC amplification with tumor size (P = 0.021), tumor grade (P = 0.018), tumor stage (P = 0.032), and FGFR1 status (P < 0.000); andFGFR1 amplification with tumor size (P = 0.041) and positive ER status (P = 0.042) were statistically associated.Conclusion: Our findings revealed that the applied qPCR approach could precisely quantify the relative gene copy number.
🔬Design:Research Article
📍Scope:35 samples
⚙️Variables:Domain Parameters

Abstract

Background/aim: The aims of this study were to detect CCND1, C-MYC, and FGFR1 amplification using qPCR, confirmation withFISH, and to further assess their clinicopathological relevance.Materials and methods: Thirty-five breast tumor samples were analyzed for amplification of the selected genes using modified SYBRGreen qPCR. The accuracy of the qPCR was assessed by FISH as a gold-standard method.Results: CCND1, C-MYC, and FGFR1 amplifications were observed in 34.28%, 28.57%, and 17.14% of the 35 samples, respectively.qPCR results were significantly confirmed by FISH and qPCR and FISH showed excellent correlation (P = 0.000). CCND1 amplificationwith tumor stage (P = 0.044), positive metastatic status (P = 0.042), positive family history (P = 0.042), and C-MYC status (P = 0.005);C-MYC amplification with tumor size (P = 0.021), tumor grade (P = 0.018), tumor stage (P = 0.032), and FGFR1 status (P < 0.000); andFGFR1 amplification with tumor size (P = 0.041) and positive ER status (P = 0.042) were statistically associated.Conclusion: Our findings revealed that the applied qPCR approach could precisely quantify the relative gene copy number. Morestudies with a larger sample size are suggested to confirm the clinicopathological value of CCND1, C-MYC, and FGFR1 amplification.

🔖

Cite This Article

AZARNEZHAD, A., TABRIZI, M., JAVAN, F., MEHDIPOUR, P. (2022). Detection of CCND1, C-MYC, and FGFR1 amplification using modified SYBR Green qPCR and FISH in breast cancer. Turkish Journal of Medical Sciences, Cilt: 48 - Sayı: 4, 759–767. https://ajindex.com/articles/610188

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (8)

  1. Albertson DG. Gene amplification in cancer. Trends Genet 2006; 22: 447-455.
  2. Futreal PA, Coin L, Marshall M, Down T, Hubbard T, Wooster R, Rahman N, Stratton MR. A census of human cancer genes. Nat Rev Cancer 2004; 4: 177-183. Adélaïde J, Finetti P, Bekhouche I, Repellini L, Geneix J, Sircoulomb F, Charafe-Jauffret E, Cervera N, Desplans J, Parzy D. Integrated profiling of basal and luminal breast cancers. Cancer Res 2007; 67: 11565-11575.
  3. Nikolsky Y, Sviridov E, Yao J, Dosymbekov D, Ustyansky V, Kaznacheev V, Dezso Z, Mulvey L, Macconaill LE, Winckler W. Genome-wide functional synergy between amplified and mutated genes in human breast cancer. Cancer Res 2008; 68: 9532-9540.
  4. Bieche I, Olivi M, Nogues C, Vidaud M, Lidereau R. Prognostic value of CCND1 gene status in sporadic breast tumours, as determined by real-time quantitative PCR assays. Br J Cancer 2002; 86: 580. Reis-Filho JS, Savage K, Lambros MB, James M, Steele D, Jones RL, Dowsett M. Cyclin D1 protein overexpression and CCND1 amplification in breast carcinomas: an immunohistochemical and chromogenic in situ hybridisation analysis. Mod Pathol 2006; 19: 999. Jang MH, Kim EJ, Choi Y, Lee HE, Kim YJ, Kim JH, Kang E, Kim SW, Kim IA, Park SY. FGFR1 is amplified during the progression of in situ to invasive breast carcinoma. Breast Cancer Res 2012; 14: R115. Elsheikh SE, Green AR, Lambros MB, Turner NC, Grainge MJ, Powe D, Ellis IO, Reis-Filho JS. FGFR1 amplification in breast carcinomas: a chromogenic in situ hybridisation analysis. Breast Cancer Res 2007; 9: R23. Russo G, Zegar C, Giordano A. Advantages and limitations of microarray technology in human cancer. Oncogene 2003; 22: 6497-6507.
  5. Strachan T, Read A. Human Molecular Genetics. New York, NY, USA: Garland Science; 2010.
  6. Hömig-Hölzel C, Savola S. Multiplex ligation-dependent probe amplification (MLPA) in tumor diagnostics and prognostics. Diagn Mol Pathol 2012; 21: 189-206. D’haene B, Vandesompele J, Hellemans J. Accurate and objective copy number profiling using real-time quantitative PCR. Methods 2010; 50: 262-270.
  7. Soltany-Rezaee-Rad M, Sepehrizadeh Z, Mottaghi-Dastjerdi N, Yazdi MT, Seyatesh N. Comparison of SYBR Green and TaqMan real-time PCR methods for quantitative detection of residual CHO host-cell DNA in biopharmaceuticals. Biologicals 2015; 43: 130-135.
  8. Frank SG, Bernard PS. Profiling breast cancer using real-time quantitative PCR. In: Wittwer C, Hahn M, Kaul K, editors. Rapid Cycle Real-Time PCR—Methods and Applications. Berlin, Germany