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GENG Xiafei, LIU Shaoping, FANG Min, LI Yan. Quantum Dots-based Molecule Probe Double Immunofluorescence Techniques to Investigate Clonal Growth Behaviors of Cancer Cells[J]. Cancer Research on Prevention and Treatment, 2015, 42(02): 103-107. DOI: 10.3971/j.issn.1000-8578.2015.02.001
Citation: GENG Xiafei, LIU Shaoping, FANG Min, LI Yan. Quantum Dots-based Molecule Probe Double Immunofluorescence Techniques to Investigate Clonal Growth Behaviors of Cancer Cells[J]. Cancer Research on Prevention and Treatment, 2015, 42(02): 103-107. DOI: 10.3971/j.issn.1000-8578.2015.02.001

Quantum Dots-based Molecule Probe Double Immunofluorescence Techniques to Investigate Clonal Growth Behaviors of Cancer Cells

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  • Received Date: October 23, 2014
  • Revised Date: November 24, 2014
  • Objective To investigate the clonal growth behavior and analyze the proliferation characteristics of cancer cells. Methods Human breast cancer cell line MCF-7, human colorectal cancer cell line SW480 and human gastric cancer cell line SGC7901 were selected to investigate the morphological features of cell clone. Quantum dots-based molecular targeting imaging techniques were applied to mark the cytoplasm by quantum dots as green, and cell nucleus Ki67 as yellow or red, to investigate the clone formation rate, cell morphology, dispersion and the expression and distribution of Ki67 in cancer cells. Results From the cell clone formation assay, MCF-7, SW480 and SGC7901 cells formed clones on d6, d8 and d12 of cell culture period, respectively. All of these three types of cells had obvious atypia of morphological features, large nuclear-cytoplasm ratios, and conspicuous irregular mitotic figures. The cells around the clones formed multiple pseudopodium. And in part of the above clones, cancer cells at the borderline were separated from the central cell clusters or presented dispersion. With quantum dots-based molecular targeting imaging techniques, the cells with strong Ki67 expression were mainly distributed around the clones, or concentrated on one side of the clones. Conclusion Ki67 is widely expressed in MCF-7, SW480 and SGC7901 cell clones, with strong expression around the clones, or concentrated on one side. And cancer cell clones present obviously asymmetric growth behavior.
  • [1]
    Dowsett M, Nielsen TO, A’Hern R, et al. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group[J]. J Natl Cancer Inst, 2011, 10 3(22): 1656-64.
    [2]
    Huang SD, Liu XH, Bai CG, et al. Relationship between cancer stem cells and clone formation in A549 lung cancer cell lines[J]. Zhonghua Wai Ke Za Zhi, 2006, 23(9):1053-5. [黄盛东, 刘晓红, 白辰光, 等. A549肺癌细胞株中肿瘤干细胞与克隆形成的关系 [J] 中华外科杂志, 2006, 23(9): 1053-5.]
    [3]
    Franken NA, Rodermond HM, Stap J, et al. Clonogenic assay of cells in vitro[J]. Nat Protoc, 2006, 1(5): 2315-9.
    [4]
    Munshi A, Hobbs M, Meyn RE. Clonogenic cell survival assay[J]. Methods Mol Med, 2005, 110: 21-8.
    [5]
    Scholzen T, Gerdes J. The Ki-67 protein: from the known and the unknown[J]. J Cell Physiol, 2000, 182(3): 311-22.
    [6]
    Weng KC, Nobel CO, Papahadjopolous-Sternberg B, et al. Targeted tumor cell internalization and imaging of multifunctional quantum dot-conjugated immunoposomes in vitro and in vivo[J]. Nano Lett, 2008, 8(9): 2851-7.
    [7]
    Gokarna A, Jin LH, Hwang JS, et al. Quantum dot-based protein micro- and nanarrays for detection of prostate cancer biomarkers[J]. Proteomics, 2008, 8(9): 1809-18.
    [8]
    Chen LD, Liu J, Yu XF, et al. The biocompatibility of quantum dot probes used for the targeted imaging of hepatocellular carcinoma metastasis[J]. Biomaterials, 2008, 29(31): 4170-6.
    [9]
    Chen C, Xia HS, Gong YP, et al. The quantitative detection of total HER2 load by quantum dots and the identification of a new subtype of breast cancer with different 5-year prognosis[J]. Biomaterials, 2010, 31(33): 8818-25.
    [10]
    Peng CW, Liu XL, Chen C, et al. Patterns of cancer invasion revealed by QDs-based quantitative multiplexed imaging of tumor microenvironment[J]. Biomaterials, 2011, 32(11): 2907-17.
    [11]
    Zhang Y, Yuan SL, Jiang PF, et al. Contrast research using two cultural methods for breast cancer SK-BR-3 cell cloning experiment[J]. Shandong Yi Yao, 2010, 50(51): 29-30. [张迎, 袁 胜利, 姜鹏飞, 等.两种培养方法用于乳腺癌SK-BR-3细胞克隆 形成实验的对比研究[J]. 山东医药, 2010, 50(51): 29-30.]
    [12]
    Li X, Pan Y, Fan R, et al. Adenovirus-delivered CIAPIN1 small interfering RNA inhibits HCC growth in vitro and in vivo[J]. Carcinogenesis, 2008, 29(8): 1587-93.
    [13]
    Plumb JA. Cell sensitivity assays: clonogenic assay[J]. Methods Mol Med, 2004, 88(5): 159-64.
    [14]
    Frangioni JV. New technologies for human cancer imaging[J]. J Clin Oncol, 2008, 26(24): 4012-21.
    [15]
    Kim J, Piao Y, Hyeon T. Multifunctional nanostructured materials for multimodal imaging, and simultaneous imaging and therapy[J]. Chem Soc Rev, 2009, 38(2): 372-90.
    [16]
    Hong H, Zhang Y, Sun J, et al. Molecular imaging and therapy of cancer with radiolabeled nanoparticles[J]. Nano Today, 2009, 4( 5): 399-413.
    [17]
    Peng CW, Tian Q, Yang GF, et al. Quantum-dots based simultaneous detection of multiple biomarkers of tumor stromal features to predict clinical outcomes in gastric cancer[J]. Biomaterials, 2012, 33(23): 5742-52.
    [18]
    Resch-Genger U, Grabolle M, Cavaliere-Jaricot S, et al. Quantum dots versus organic dyes as fluorescent labels[J]. Nat Methods, 20 08, 5(9): 763-75.
    [19]
    Beresford MJ, Wilson GD, Makris A. Measuring proliferation in breast cancer: practicalities and applications[J]. Breast Cancer Res, 2006, 8(6): 216.
    [20]
    Brabletz T, Jung A, Spaderna S, et al. Migrating cancer stem cellsan integrated concept of malignant tumour progression[J]. Nat Rev Cancer, 2005, 5(9): 744-749.
    [21]
    Gong P, Wang Y, Liu G, et al. New insight into Ki67 expression at the invasive front in breast cancer[J]. PLoS One, 2013, 8(1): e54912.

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