Cargando…

Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Jing Ping, Wang, Lin Wei, Qu, Ai Ping, Chen, Jia Mei, Xiang, Qing Ming, Chen, Chuang, Sun, Sheng-Rong, Pang, Dai-Wen, Liu, Juan, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391934/
https://www.ncbi.nlm.nih.gov/pubmed/25856425
http://dx.doi.org/10.1371/journal.pone.0122734
_version_ 1782365900381356032
author Yuan, Jing Ping
Wang, Lin Wei
Qu, Ai Ping
Chen, Jia Mei
Xiang, Qing Ming
Chen, Chuang
Sun, Sheng-Rong
Pang, Dai-Wen
Liu, Juan
Li, Yan
author_facet Yuan, Jing Ping
Wang, Lin Wei
Qu, Ai Ping
Chen, Jia Mei
Xiang, Qing Ming
Chen, Chuang
Sun, Sheng-Rong
Pang, Dai-Wen
Liu, Juan
Li, Yan
author_sort Yuan, Jing Ping
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4391934
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-43919342015-04-21 Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer Yuan, Jing Ping Wang, Lin Wei Qu, Ai Ping Chen, Jia Mei Xiang, Qing Ming Chen, Chuang Sun, Sheng-Rong Pang, Dai-Wen Liu, Juan Li, Yan PLoS One Research Article 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. Public Library of Science 2015-04-09 /pmc/articles/PMC4391934/ /pubmed/25856425 http://dx.doi.org/10.1371/journal.pone.0122734 Text en © 2015 Yuan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yuan, Jing Ping
Wang, Lin Wei
Qu, Ai Ping
Chen, Jia Mei
Xiang, Qing Ming
Chen, Chuang
Sun, Sheng-Rong
Pang, Dai-Wen
Liu, Juan
Li, Yan
Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title_full Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title_fullStr Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title_full_unstemmed Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title_short Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer
title_sort quantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391934/
https://www.ncbi.nlm.nih.gov/pubmed/25856425
http://dx.doi.org/10.1371/journal.pone.0122734
work_keys_str_mv AT yuanjingping quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT wanglinwei quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT quaiping quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT chenjiamei quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT xiangqingming quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT chenchuang quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT sunshengrong quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT pangdaiwen quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT liujuan quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer
AT liyan quantumdotsbasedquantitativeandinsitumultipleimagingonki67andcytokeratintoimproveki67assessmentinbreastcancer