Quantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer
Autor: | Juan Liu, Chuang Chen, Lin Wei Wang, Shengrong Sun, Dai-Wen Pang, Jia Mei Chen, Jing Ping Yuan, Ai Ping Qu, Qing Ming Xiang, Yan Li |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
In situ
Pathology medicine.medical_specialty Color Gene Expression lcsh:Medicine Breast Neoplasms Cytokeratin Breast cancer Quantum Dots Biomarkers Tumor medicine Humans lcsh:Science Survival analysis Neoplasm Staging Multidisciplinary Tissue microarray business.industry Optical Imaging lcsh:R Histology Middle Aged Prognosis medicine.disease Survival Analysis Ki-67 Antigen ROC Curve Tissue Array Analysis Multivariate Analysis Keratins Immunohistochemistry Female lcsh:Q business Quantitative analysis (chemistry) Software Research Article |
Zdroj: | PLoS ONE, Vol 10, Iss 4, p e0122734 (2015) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | Background As a marker for tumor cell proliferation, Ki67 has important impacts on breast cancer (BC) prognosis. Although immunohistochemical staining is the current standard method, variations in analytical practice make it difficult for pathologists to manually measure Ki67 index. This study was to develop a fluorescent spectrum-based quantitative analysis of Ki67 expression by quantum-dots (QDs) multiple imaging technique. Methods A QDs-based in situ multiple fluorescent imaging method was developed, which stained nuclear Ki67 as red signal and cytoplasmic cytokeratin (CK) as green signal. Both Ki67 and CK signals were automatically separated and quantified by professional spectrum analysis software. This technique was applied to tissue microarrays from 240 BC patients. Both Ki67 and CK values, and Ki67/CK ratio were obtained for each patient, and their prognostic value on 5-year disease free survival was assessed. Results This method simultaneously stains nuclear Ki67 and cytoplasmic CK with clear signal contrast, making it easy for signal separation and quantification. The total fluorescent signal intensities of both Ki67 sum and CK sum were obtained, and Ki67/CK ratio calculated. Ki67 sum and Ki67/CK ratio were each attributed into two grades by X-tile software based on the best P value principle. Multivariate analysis showed Ki67 grade (P = 0.047) and Ki67/CK grade (P = 0.004) were independent prognostic factors. Furthermore, area under curve (AUC) of ROC analysis for Ki67/CK grade (AUC: 0.683, 95%CI: 0.613–0.752) was higher than Ki67 grade (AUC: 0.665, 95%CI: 0.596–0.734) and HER-2 gene (AUC: 0.586, 95%CI: 0.510–0.661), but lower than N stage (AUC: 0.760, 95%CI: 0.696–0.823) and histological grade (AUC: 0.756, 95%CI: 0.692–0.820) on predicting the risk for recurrence. Conclusions A QDs-based quantitative and in situ multiple imaging on Ki67 and CK was developed to improve Ki67 assessment in BC, and Ki67/CK grade had better performance than Ki67 grade in predicting prognosis. |
Databáze: | OpenAIRE |
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