2014
DOI: 10.2147/ijn.s58881
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Quantum dot-based immunofluorescent imaging of Ki67 and identification of prognostic value in HER2-positive (non-luminal) breast cancer

Abstract: Background The immunohistochemical assessment of Ki67 antigen (Ki67) is the most widely practiced measurement of breast cancer cell proliferation; however, it has some disadvantages and thus the prognostic value of Ki67 in breast cancer remains controversial. Our previous studies confirmed the advantages of quantum dots-based nanotechnology for quantitative analysis of biomarkers compared with conventional immunohistochemistry (IHC). This study was designed to assess Ki67 by quantum dot-immunohist… Show more

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Cited by 27 publications
(30 citation statements)
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“…[19][20][21] Our previous studies using QD-based molecular pathology for molecular targeted imaging and quantitative detection of cancer cells and molecules were associated with a number of potential advantages over conventional IHC methods, such as superior fluorescent efficiency over organic fluorescent dyes, better signal clarity, higher sensitivity, and more accurate quantitative analyses. [21][22][23][24] However, the use of QD technology for quantifying TOP2A protein expression in TNBC has not yet been investigated.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…[19][20][21] Our previous studies using QD-based molecular pathology for molecular targeted imaging and quantitative detection of cancer cells and molecules were associated with a number of potential advantages over conventional IHC methods, such as superior fluorescent efficiency over organic fluorescent dyes, better signal clarity, higher sensitivity, and more accurate quantitative analyses. [21][22][23][24] However, the use of QD technology for quantifying TOP2A protein expression in TNBC has not yet been investigated.…”
mentioning
confidence: 99%
“…This is consistent with previous reports studying other biomarkers using the QDbased nanotechnology. 21,22,24,35,36 Most importantly, the image gained by QD-IIQAS can be spectrally unmixed without the disturbance of background and quantitatively analyzed by computer software to eliminate the bias that may be caused by manual counting in conventional IHC. Given these advantages over conventional methods, QD-IIQAS has the potential for broad clinical application in the future.…”
mentioning
confidence: 99%
“…27,28 From the QD images of LEA detection, fluorescent signals can be clearly observed and LEA localization on the membrane can be distinguished in high resolution, which favors accurate and automated quantitation of the images, and therefore …”
Section: Discussionmentioning
confidence: 99%
“…24,25 Based on the advantages of QD probes, many researchers have focused on developing QDbased immunohistochemistry (QD-IHC) to investigate the expression levels of biomarkers in tumor tissues, which has generated detection results similar to conventional IHC. [26][27][28] More importantly, QD-IHC is proven to be superior to conventional IHC in many aspects. 29,30 QD-IHC possesses higher sensitivity leading to an increased positive detection rate compared to conventional IHC.…”
Section: Introductionmentioning
confidence: 99%
“…There have been many studies validating detection by QDs in IHC (Chen et al 2009; Xu et al 2012; Tabatabaei-Panah et al 2013; Yu et al 2013). The recent key studies that have demonstrated QD-IHC’s statistical and functional advantages over other forms of IHC include work in which QD-IHC was found to have 5% better sensitivity and 10% better specificity over traditional IHC when examining the Tn antigen in breast cancer tissues (Au et al 2014) and demonstrations that QD-IHC detection of the proliferation marker Ki67 was able to more accurately predict 5-year disease free survival in breast cancer patients (Sun et al 2014). Additionally, QD-IHC is amenable to coupling with signal amplifying techniques such as tyramide signal amplification (TSA) to further enhance detection of subtle antigenic signal (Akhtar et al 2007).…”
Section: Qds For Multiplex Ihcmentioning
confidence: 99%