Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays
Xue-Qin Yang1,2, Chuang Chen1, Chun-Wei Peng1, Jin-Xuan Hou1, Shao-Ping Liu1, Chu-Bo Qi3, Yi-Ping Gong4, Xiao-Bo Zhu5, Dai-Wen Pang6, Yan Li1 1Department of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory on Tumor Biological Behaviors and Hubei Cancer Clinical Study Center, Wuh...
Guardado en:
Autores principales: | , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Dove Medical Press
2011
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2cef91e55f2c4bca9a7e1aba365f2574 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:2cef91e55f2c4bca9a7e1aba365f2574 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:2cef91e55f2c4bca9a7e1aba365f25742021-12-02T05:40:39ZQuantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays1176-91141178-2013https://doaj.org/article/2cef91e55f2c4bca9a7e1aba365f25742011-10-01T00:00:00Zhttp://www.dovepress.com/quantum-dot-based-quantitative-immunofluorescence-detection-and-spectr-a8448https://doaj.org/toc/1176-9114https://doaj.org/toc/1178-2013Xue-Qin Yang1,2, Chuang Chen1, Chun-Wei Peng1, Jin-Xuan Hou1, Shao-Ping Liu1, Chu-Bo Qi3, Yi-Ping Gong4, Xiao-Bo Zhu5, Dai-Wen Pang6, Yan Li1 1Department of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory on Tumor Biological Behaviors and Hubei Cancer Clinical Study Center, Wuhan; 2Medical School of Jingchu University of Technology, Jingmen; 3Department of Pathology; 4Department of Breast Surgery, Hubei Cancer Hospital, Wuhan; 5Wuhan Jiayuan Quantum Dots Co Ltd and Wuhan Tumor Nanometer Diagnosis Engineering Research Center, Wuhan; 6Key Laboratory of Analytical Chemistry for Biology and Medicine, College of Chemistry and Molecular Sciences, and State Key Laboratory of Virology, Wuhan University, Wuhan, People's Republic of China Background: The epidermal growth factor receptor (EGFR) is a promising therapeutic target in cancer, but its clinical value in breast cancer remains controversial. Our previous studies have found that quantitative analysis of biomarkers with quantum dot-based nanotechnology had better detection performance than conventional immunohistochemistry. The present study was undertaken to investigate the prognostic value of EGFR in breast cancer using quantum dot-based quantitative spectral analysis. Methods: EGFR expression in 65 breast cancer specimens was detected by immunohistochemistry and quantum dot-immunohistochemistry, and comparisons were made between the two methods. EGFR expression in tissue microarrays of 240 breast cancer patients was then detected by quantum dot-immunohistochemistry and spectral analysis. The prognostic value of EGFR immunofluorescence area (EGFR area) for five-year recurrence-free survival was investigated. Results: The same antigen localization, high correlation of staining rates (r = 0.914), and high agreement of measurement (κ= 0.848) of EGFR expression in breast cancer were found by quantum dot-immunohistochemistry and immunohistochemistry. The EGFR area showed significant differences by tumor grade, lymph node status, HER2 status, and hormone receptor status (all P < 0.05). Patients in the large EGFR area (≥30.51) group had a significantly higher five-year recurrence rate (47.2% versus 27.4%, P = 0.002) and worse five-year recurrence-free survival (log-rank test, P = 0.0015) than those in the small EGFR area (<30.51) group. In the subgroups, EGFR area was an independent prognosticator in the HER2-positive and lymph node-positive subgroups. Conclusion: Quantum dot-based quantitative detection demonstrates the prognostic value of EGFR area in the HER2-positive and lymph node-positive subgroups of invasive breast cancer. Keywords: quantum dots, breast cancer, epidermal growth factor receptor, quantitative analysis, recurrence-free survival, prognosis Yang XQChen CPeng CWHou JXLiu SPQi CBGong YPZhu XBPang DWLi YDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2011, Iss default, Pp 2265-2273 (2011) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine (General) R5-920 |
spellingShingle |
Medicine (General) R5-920 Yang XQ Chen C Peng CW Hou JX Liu SP Qi CB Gong YP Zhu XB Pang DW Li Y Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
description |
Xue-Qin Yang1,2, Chuang Chen1, Chun-Wei Peng1, Jin-Xuan Hou1, Shao-Ping Liu1, Chu-Bo Qi3, Yi-Ping Gong4, Xiao-Bo Zhu5, Dai-Wen Pang6, Yan Li1 1Department of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory on Tumor Biological Behaviors and Hubei Cancer Clinical Study Center, Wuhan; 2Medical School of Jingchu University of Technology, Jingmen; 3Department of Pathology; 4Department of Breast Surgery, Hubei Cancer Hospital, Wuhan; 5Wuhan Jiayuan Quantum Dots Co Ltd and Wuhan Tumor Nanometer Diagnosis Engineering Research Center, Wuhan; 6Key Laboratory of Analytical Chemistry for Biology and Medicine, College of Chemistry and Molecular Sciences, and State Key Laboratory of Virology, Wuhan University, Wuhan, People's Republic of China Background: The epidermal growth factor receptor (EGFR) is a promising therapeutic target in cancer, but its clinical value in breast cancer remains controversial. Our previous studies have found that quantitative analysis of biomarkers with quantum dot-based nanotechnology had better detection performance than conventional immunohistochemistry. The present study was undertaken to investigate the prognostic value of EGFR in breast cancer using quantum dot-based quantitative spectral analysis. Methods: EGFR expression in 65 breast cancer specimens was detected by immunohistochemistry and quantum dot-immunohistochemistry, and comparisons were made between the two methods. EGFR expression in tissue microarrays of 240 breast cancer patients was then detected by quantum dot-immunohistochemistry and spectral analysis. The prognostic value of EGFR immunofluorescence area (EGFR area) for five-year recurrence-free survival was investigated. Results: The same antigen localization, high correlation of staining rates (r = 0.914), and high agreement of measurement (κ= 0.848) of EGFR expression in breast cancer were found by quantum dot-immunohistochemistry and immunohistochemistry. The EGFR area showed significant differences by tumor grade, lymph node status, HER2 status, and hormone receptor status (all P < 0.05). Patients in the large EGFR area (≥30.51) group had a significantly higher five-year recurrence rate (47.2% versus 27.4%, P = 0.002) and worse five-year recurrence-free survival (log-rank test, P = 0.0015) than those in the small EGFR area (<30.51) group. In the subgroups, EGFR area was an independent prognosticator in the HER2-positive and lymph node-positive subgroups. Conclusion: Quantum dot-based quantitative detection demonstrates the prognostic value of EGFR area in the HER2-positive and lymph node-positive subgroups of invasive breast cancer. Keywords: quantum dots, breast cancer, epidermal growth factor receptor, quantitative analysis, recurrence-free survival, prognosis  |
format |
article |
author |
Yang XQ Chen C Peng CW Hou JX Liu SP Qi CB Gong YP Zhu XB Pang DW Li Y |
author_facet |
Yang XQ Chen C Peng CW Hou JX Liu SP Qi CB Gong YP Zhu XB Pang DW Li Y |
author_sort |
Yang XQ |
title |
Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
title_short |
Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
title_full |
Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
title_fullStr |
Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
title_full_unstemmed |
Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
title_sort |
quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays |
publisher |
Dove Medical Press |
publishDate |
2011 |
url |
https://doaj.org/article/2cef91e55f2c4bca9a7e1aba365f2574 |
work_keys_str_mv |
AT yangxq quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT chenc quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT pengcw quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT houjx quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT liusp quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT qicb quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT gongyp quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT zhuxb quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT pangdw quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays AT liy quantumdotbasedquantitativeimmunofluorescencedetectionandspectrumanalysisofepidermalgrowthfactorreceptorinbreastcancertissuearrays |
_version_ |
1718400285039132672 |